Repository: giswqs/python-geospatial Branch: master Commit: f788dac7f37a Files: 13 Total size: 1.4 MB Directory structure: gitextract_oiqettza/ ├── .gitignore ├── LICENSE ├── README.md ├── binder/ │ ├── apt.txt │ ├── environment.yml │ ├── postBuild │ └── requirements.txt └── examples/ ├── arcgis-python-api.ipynb ├── lidar.ipynb ├── rasterio.ipynb ├── template.ipynb ├── tensorflow.ipynb └── whitebox.ipynb ================================================ FILE CONTENTS ================================================ ================================================ FILE: .gitignore ================================================ # Byte-compiled / optimized / DLL files __pycache__/ *.py[cod] *$py.class .idea/ .vscode/ # exclude files dev/ examples/temp examples/data # tif files extra *.tfw *.aux.xml # C extensions *.so # Distribution / packaging .Python env/ build/ develop-eggs/ dist/ downloads/ eggs/ .eggs/ lib/ lib64/ parts/ sdist/ var/ wheels/ *.egg-info/ .installed.cfg *.egg # PyInstaller # Usually these files are written by a python script from a template # before PyInstaller builds the exe, so as to inject date/other infos into it. *.manifest *.spec # Installer logs pip-log.txt pip-delete-this-directory.txt # Unit test / coverage reports htmlcov/ .tox/ .coverage .coverage.* .cache nosetests.xml coverage.xml *.cover .hypothesis/ .pytest_cache/ # Translations *.mo *.pot # Django stuff: *.log local_settings.py # Flask stuff: instance/ .webassets-cache # Scrapy stuff: .scrapy # Sphinx documentation docs/_build/ # PyBuilder target/ # Jupyter Notebook .ipynb_checkpoints # pyenv .python-version # celery beat schedule file celerybeat-schedule # SageMath parsed files *.sage.py # dotenv .env # virtualenv .venv venv/ ENV/ # Spyder project settings .spyderproject .spyproject # Rope project settings .ropeproject # mkdocs documentation /site # mypy .mypy_cache/ ================================================ FILE: LICENSE ================================================ MIT License Copyright (c) 2018 Qiusheng Wu Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. ================================================ FILE: README.md ================================================ # python-geospatial A collection of Python packages for geospatial analysis with binder-ready notebook examples. Launch the interactive notebook tutorials with **mybinder.org** or **binder.pangeo.io** test all the pre-installed Python pakcages for geospatial analysis. [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/giswqs/python-geospatial/master) [![Pangeo](http://binder.pangeo.io/badge.svg)](http://binder.pangeo.io/v2/gh/giswqs/python-geospatial/master) [![MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT) Author: Qiusheng Wu (https://wetlands.io) ## Installation It is highly recommended that you use the [conda](https://conda.io/docs/index.html) package manager to install all the requirements. You can either install [Miniconda](https://conda.io/miniconda.html) or the (larger) [Anaconda](https://www.anaconda.com/download/) distribution. It is also recommended that you install [git](https://git-scm.com/downloads) so that you can clone this GitHub reposiotry to your computer. Once conda and git are installed, the following commands will create a virtual Python environment named **pygeo** and install all the required packages: ``` git clone https://github.com/giswqs/python-geospatial.git cd python-geospatial/binder/ conda env create -f environment.yml source activate pygeo ipython kernel install --user --name="pygeo" ``` ## Tutorials Launch the interactive notebook tutorials with **mybinder.org** or **binder.pangeo.io** now: [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/giswqs/python-geospatial/master) [![Pangeo](http://binder.pangeo.io/badge.svg)](http://binder.pangeo.io/v2/gh/giswqs/python-geospatial/master) ## Python Packages This list of Python packages is adapted from the Python list of [Awesome Geospatial](https://github.com/sacridini/Awesome-Geospatial#python). All the listed Python packages have been pre-installed in the binder environment. ### Geospatial Analysis * [whitebox](https://github.com/giswqs/whitebox) :zap: - A Python package for advanced geospatial data analysis based on [WhiteboxTools](https://github.com/jblindsay/whitebox-tools). * [lidar](https://github.com/giswqs/lidar) - lidar is a toolset for terrain and hydrological analysis using digital elevation models (DEMs). * [pygis](https://github.com/giswqs/pygis) - pygis is a collection of Python snippets for geospatial analysis. * [ArcGIS Python API](https://developers.arcgis.com/python/) - Esri's Python library for working with maps and geospatial data, powered by web GIS. * [dask-rasterio](https://github.com/dymaxionlabs/dask-rasterio) - Read and write rasters in parallel using Rasterio and Dask. * [earthengine-api](https://anaconda.org/conda-forge/earthengine-api) :zap: - The Earth Engine Python API allows developers to interact with Google Earth Engine. * [EarthPy](https://github.com/earthlab/earthpy) - EarthPy is a python package that makes it easier to plot and work with spatial raster and vector data. * [Fiona](http://toblerity.org/fiona/) :zap: - For making it easy to read/write geospatial data formats. * [GDAL](https://anaconda.org/conda-forge/gdal) - The Geospatial Data Abstraction Library for reading and writing raster and vector geospatial data formats. * [geeup](https://github.com/samapriya/geeup) - Simple CLI for Earth Engine Uploads. * [geojson-area](https://github.com/scisco/area) - Calculate the area inside of any GeoJSON geometry. This is a port of Mapbox's geojson-area for Python. * [geojsonio](https://github.com/jwass/geojsonio.py) - Open GeoJSON data on geojson.io from Python. * [GeoPandas](https://github.com/geopandas/geopandas) - Python tools for geographic data. * [GIPPY](https://github.com/gipit/gippy) - Geospatial Image Processing for Python. * [gpdvega](https://github.com/iliatimofeev/gpdvega) - gpdvega is a bridge between GeoPandas and Altair that allows to seamlessly chart geospatial data. * [mapboxgl-jupyter](https://github.com/mapbox/mapboxgl-jupyter) - Use Mapbox GL JS to visualize data in a Python Jupyter notebook. * [networkx](http://networkx.github.io/) - To work with networks. * [OSMnet](https://github.com/UDST/osmnet) - Tools for the extraction of OpenStreetMap street network data. * [pandana](https://github.com/UDST/pandana) - Pandas Network Analysis - dataframes of network queries, quickly. * [Peartree](https://github.com/kuanb/peartree) - Peartree: A library for converting transit data into a directed graph for network analysis. * [pygdal](https://pypi.org/project/pygdal/) - Virtualenv and setuptools friendly version of standard GDAL python bindings. * [pymap3d](https://github.com/scivision/pymap3d) - Python 3D coordinate conversions for geospace ecef enu eci. * [Pyncf](https://github.com/karimbahgat/pyncf) - Pure Python NetCDF file reading and writing. * [PyProj](https://github.com/jswhit/pyproj) - For conversions between projections. * [PySAL](http://pysal.readthedocs.io/en/latest/) - For all your spatial econometrics needs. * [PyShp](https://code.google.com/archive/p/pyshp/) - For reading and writing shapefiles. * [rasterio](https://github.com/mapbox/rasterio) :zap: - rasterio employs GDAL under the hood for file I/O and raster formatting. * [rasterstats](https://github.com/perrygeo/python-rasterstats/) - Python module for summarizing geospatial raster datasets based on vector geometries. * [rio-cogeo](https://github.com/mapbox/rio-cogeo) - CloudOptimized GeoTIFF creation plugin for rasterio. * [rio-color](https://github.com/mapbox/rio-color) - Color correction plugin for rasterio. * [rio-hist](https://github.com/mapbox/rio-hist) - Histogram matching plugin for rasterio. * [rio-tiler](https://github.com/mapbox/rio-tiler) - Get mercator tile from landsat, sentinel or other AWS hosted raster. * [Rtree](http://toblerity.org/rtree/) - For efficiently querying spatial data. * [sentinelhub](https://github.com/sentinel-hub/sentinelhub-py) - Download and process satellite imagery in Python scripts using Sentinel Hub services. * [sentinelsat](https://github.com/sentinelsat/sentinelsat) - Search and download Copernicus Sentinel satellite images. * [Shapely](https://pypi.python.org/pypi/Shapely) - Manipulation and analysis of geometric objects in the Cartesian plane. * [ts-raster](https://github.com/adbeda/ts-raster) - ts-raster is a python package for analyzing time-series characteristics from raster data. * [urbansim](https://github.com/UDST/urbansim) - New version of UrbanSim, a platform for modeling metropolitan real estate markets. * [USGS API](https://github.com/kapadia/usgs) - USGS is a python module for interfacing with the US Geological Survey's API. * [Verde](https://github.com/fatiando/verde) - Verde is a Python library for processing spatial data and interpolating it on regular grids. * [xarray](http://xarray.pydata.org/en/stable/) - An open source project that aims to bring the labeled data power of pandas to the physical sciences. ### Mapping/Plotting * [basemap](https://github.com/matplotlib/basemap) - Plot on map projections (with coastlines and political boundaries) using matplotlib. * [bokeh](https://github.com/bokeh/bokeh) - Interactive Web Plotting for Python. * [Cartopy](http://scitools.org.uk/cartopy/) - A library providing cartographic tools for python for plotting spatial data. * [Descartes](https://pypi.python.org/pypi/descartes) - Plot geometries in matplotlib. * [geoplot](https://github.com/ResidentMario/geoplot) - geoplot is a high-level Python geospatial plotting library. * [geopy](https://github.com/geopy/geopy) - geopy is a Python 2 and 3 client for several popular geocoding web services. * [folium](https://github.com/python-visualization/folium) - Python Data, Leaflet.js Maps. * [matplotlib](http://matplotlib.org/) - Python 2D plotting library. * [mplleaflet](https://github.com/jwass/mplleaflet) - mplleaflet converts a matplotlib plot into a webpage containing a pannable, zoomable Leaflet map. * [pyWPS](http://pywps.org/) - An implementation of the Web Processing Service standard from the Open Geospatial Consortium. * [pyCSW](http://pycsw.org/) - Fully implements the OpenGIS Catalogue Service Implementation Specification. * [ipyleaflet](https://github.com/jupyter-widgets/ipyleaflet) - A Jupyter / Leaflet bridge enabling interactive maps in the Jupyter notebook. * [here-map-widget-for-jupyter](https://github.com/heremaps/here-map-widget-for-jupyter) - Use HERE Maps API for JavaScript in your Jupyter Notebook. ### Deep Learning * [label-maker](https://github.com/developmentseed/label-maker) - Data Preparation for Satellite Machine Learning. * [label-maker-binder](https://github.com/giswqs/label-maker-binder/pulse) - Using label-maker in an interactive notebook on the cloud. * [Keras](https://keras.io/) - Keras is a high-level neural networks API capable of running on top of TensorFlow, CNTK, or Theano. * [TensorFlow](https://www.tensorflow.org/) - TensorFlow is an open source software library for numerical computation using data flow graphs. ### General Python * [dask](https://github.com/dask/dask) - Dask is a flexible parallel computing library for analytics. * [imageio](https://imageio.github.io/) - imageio provides an easy interface to read and write a wide range of image data. * [Mahotas](https://github.com/luispedro/mahotas) - Mahotas is a library of fast computer vision algorithms operating over numpy arrays. * [NumPy](http://www.numpy.org/) - NumPy is the fundamental package for scientific computing with Python. * [Pandas](http://pandas.pydata.org/) - Open source library providing high-performance, easy-to-use data structures and data analysis tools. * [scikit-image](http://scikit-image.org/) - Scikit-image is a collection of algorithms for image processing. * [scikit-learn](https://github.com/scikit-learn/scikit-learn) - scikit-learn is a Python module for machine learning built on top of SciPy. * [SciPy](https://github.com/scipy/scipy) - SciPy is open-source software for mathematics, science, and engineering. * [Statsmodels](http://statsmodels.sourceforge.net/) - Python module that allows users to explore data, estimate statistical models, and perform statistical tests. * [geojson-shave](https://github.com/ben-n93/geojson-shave) - A Python command-line tool for reducing the size of GeoJSON files. ## Cloud Computing Platforms * [Google Earth Engine](https://earthengine.google.com/) :zap: - Planetary-scale geospatial analysis for everyone. * [Pangeo](http://pangeo.io/) - A community platform for Big Data geoscience. * [Geospatial Big Data Platform (GBDX)](https://platform.digitalglobe.com/gbdx/) - Cloud computing platform from Digital Globe. * [Radiant Earth](https://www.radiant.earth/) - Open-source cloud computing infrastructure for geospatial analysis. * [Radiant MLHub](https://www.mlhub.earth/) - Open Repository for Geospatial Training Data. * [Sentinel Playground](https://www.sentinel-hub.com/) - Cloud platform for analysis of Sentinel-2A and B and so on. * [Vane: Query Language](https://owm.io/vaneLanguage) - Creating Basemaps from different satellite images with online processing and computing. ## References * [Awesome-Geospatial](https://github.com/sacridini/Awesome-Geospatial) * [SpatialPython](https://github.com/SpatialPython/spatial_python) * [python-geospatial-ecosystem](https://github.com/loicdtx/python-geospatial-ecosystem) * [Automating-GIS-processes](https://github.com/Automating-GIS-processes/2018) * [Geo-Python](https://github.com/geo-python/2018) * [scipy2018-geospatial-data](https://github.com/geopandas/scipy2018-geospatial-data) * [Geospatial_Data_with_Python](https://github.com/SocialDataSci/Geospatial_Data_with_Python) * [Essential geospatial Python libraries](https://medium.com/@chrieke/essential-geospatial-python-libraries-5d82fcc38731) * [Geo-spatial analysis with Python](https://medium.com/@lisa.mitford/geo-spatial-analysis-with-python-fdddd69eebea) * [From Analysis Ready Data to Analysis Engines and Everything in between](https://medium.com/@samapriyaroy/from-analysis-ready-data-to-analysis-engines-and-everything-in-between-676d98792d2e) ================================================ FILE: binder/apt.txt ================================================ ================================================ FILE: binder/environment.yml ================================================ name: pygeo channels: - conda-forge - esri dependencies: - python=3.6 - arcgis - earthengine-api - gdal - imageio - matplotlib - numpy - scikit-image - scikit-learn - scipy - pip: - area - bokeh - cython - dask-rasterio - descartes - descartes - folium - geeup - geojsonio - geopandas - geoplot - geopy - gpdvega - h5py - lidar - mahotas - mapboxgl - mplleaflet - oauth2client - pandana - peartree - plotly - pygdal - pygis - pymap3d - pyModis - pysal - pycsw - pywps - rasterio - rasterstats - requests - rio-cogeo - rio-color - rio-hist - rio-tiler - rtree - seaborn - sentinelhub - sentinelsat - tifffile - tsraster - urbansim - usgs - verde - whitebox - xarray - tensorflow - keras - "git+https://github.com/karimbahgat/pyncf.git" # - gippy # - "git+https://github.com/matplotlib/basemap.git" ================================================ FILE: binder/postBuild ================================================ #!/bin/bash cd /srv/conda/lib/python3.6/site-packages/whitebox wget http://www.uoguelph.ca/~hydrogeo/WhiteboxTools/WhiteboxTools_linux_amd64.tar.xz tar -xvf WhiteboxTools_linux_amd64.tar.xz mv WBT/whitebox_tools . mkdir testdata cd testdata wget https://github.com/jblindsay/whitebox-tools/raw/master/testdata/DEM.tif wget https://github.com/jblindsay/whitebox-tools/raw/master/testdata/DEM.dep pip install cartopy ================================================ FILE: binder/requirements.txt ================================================ cartopy # seaborn==0.8.1 ================================================ FILE: examples/arcgis-python-api.ipynb ================================================ { "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# ArcGIS API for Python\n", "\n", "## How to install ArcGIS API for Python\n", "\n", "* ArcGIS API for Python only for Python 3\n", "* https://developers.arcgis.com/python/guide/install-and-set-up/#Using-the-API\n", "* Create a Python virtual environment using Anaconda: `conda create -n py36 python=3.6`\n", "* Activate the Python environment: `activate py36`\n", "* Install arcgis to the Python environment: `conda install -c esri arcgis`" ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "from arcgis.gis import GIS" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "a84dd4592bd1429b82a590af91e8de57", "version_major": 2, "version_minor": 0 }, "text/plain": [ "MapView(layout=Layout(height='400px', width='100%'))" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "my_gis = GIS()\n", "my_gis.map()" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "[,\n", " ,\n", " ,\n", " ,\n", " ]" ] }, "execution_count": 3, "metadata": {}, "output_type": "execute_result" } ], "source": [ "from arcgis.gis import GIS\n", "gis = GIS()\n", "public_content = gis.content.search(\"Fire\", item_type=\"Feature Layer\", max_items=5)\n", "public_content" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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\n", " מיפוי שריפה חדש\n", " \n", "
שכבה פוליגונלית של היקף שריפה חיה איתה עובדים באופן שוטף ומעדכנים בקולקטורFeature Layer Collection by kkl_arcgis_10\n", "
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\n", " Intact Forest Landscapes (2000)\n", " \n", "
Identifies the world’s last remaining unfragmented forest landscapes, large enough to retain all native biodiversity and showing no signs of human alteration as of the year 2013. This layer also shows the reduction in the extent of Intact Forest Landscapes from 2000 to 2013.Feature Layer Collection by GlobalForestWatch\n", "
Last Modified: October 29, 2018\n", "
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\n", " WRI_BeforeAndAfterPhotos\n", " \n", "
WRI Projects with Before and After PhotosFeature Layer Collection by FireFFSL\n", "
Last Modified: January 24, 2018\n", "
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\n", " Social Vulnerability 2010\n", " \n", "
This map shows a simple summary of social vulnerability of populations in the United States.Feature Layer Collection by AtlasPublisher\n", "
Last Modified: July 19, 2018\n", "
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\n", " GIS_Export\n", " \n", "
Feature Layer Collection by baszlera\n", "
Last Modified: April 26, 2018\n", "
0 comments, 518 views\n", "
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\n", " " ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "from IPython.display import display\n", "for item in public_content:\n", " display(item)" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "c559b3634c3c4d9d87d064d72cef9a96", "version_major": 2, "version_minor": 0 }, "text/plain": [ "MapView(layout=Layout(height='400px', width='100%'))" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "map1 = gis.map('Collier County, FL')\n", "map1" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [], "source": [ "#get the first item\n", "fire = public_content[0]\n", "\n", "#add to map\n", "map1.add_layer(fire)" ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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\n", " Landsat_Multispectral\n", " \n", "
Imagery Layer by Craig_ESRIAU\n", "
Last Modified: November 24, 2016\n", "
0 comments, 90 views\n", "
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\n", " " ], "text/plain": [ "" ] }, "execution_count": 7, "metadata": {}, "output_type": "execute_result" } ], "source": [ "from arcgis.gis import GIS\n", "from arcgis.raster.functions import *\n", "gis = GIS()\n", "landsat_item = gis.content.search('\"Landsat Multispectral\"', 'Imagery Layer')[0]\n", "landsat_item" ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [], "source": [ "landsat = landsat_item.layers[0]" ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [], "source": [ "def extract_stretch(bandids):\n", " return stretch(extract_band(landsat, bandids),\n", " stretch_type='PercentClip',\n", " min_percent=2, \n", " max_percent=2,\n", " dra=True, \n", " gamma=[0.8,0.8,0.8])" ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [], "source": [ "from arcgis.geocoding import geocode\n", "area = geocode('Cambridge Gulf')[0]" ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "7e3f856cf0d94d7aa7b8acbc5377219d", "version_major": 2, "version_minor": 0 }, "text/plain": [ "MapView(layout=Layout(height='400px', width='100%'), zoom=10.0)" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "m = gis.map(area, 10)\n", "m" ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [], "source": [ "m.add_layer(extract_stretch([5, 4, 1]))" ] }, { "cell_type": "code", "execution_count": 13, "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "675b879bce9e4a46b93833f05e7f216e", "version_major": 2, "version_minor": 0 }, "text/plain": [ "MapView(layout=Layout(height='400px', width='100%'), zoom=11.0)" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "m2 = gis.map(\"Guelb Er Richat\", 11)\n", "m2" ] }, { "cell_type": "code", "execution_count": 14, "metadata": {}, "outputs": [], "source": [ "m2.add_layer(extract_stretch([6, 3, 1]))" ] }, { "cell_type": "code", "execution_count": 15, "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "6b4c1a055a304a0287f398fbf6742271", "version_major": 2, "version_minor": 0 }, "text/plain": [ "MapView(layout=Layout(height='400px', width='100%'), zoom=10.0)" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "m3 = gis.map(\"Gosses Bluff\", 10)\n", "m3" ] }, { "cell_type": "code", "execution_count": 16, "metadata": {}, "outputs": [], "source": [ "m3.add_layer(extract_stretch([6, 3, 0]))" ] }, { "cell_type": "code", "execution_count": 17, "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "d3bc43e9664b45d6b7ff4b35b8ec4811", "version_major": 2, "version_minor": 0 }, "text/plain": [ "MapView(layout=Layout(height='400px', width='100%'), zoom=11.0)" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "m4 = gis.map(\"Great Exumas, Bahamas\", 11)\n", "m4" ] }, { "cell_type": "code", "execution_count": 18, "metadata": {}, "outputs": [], "source": [ "m4.add_layer(extract_stretch([5, 3, 0]))" ] }, { "cell_type": "code", "execution_count": 19, "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "54eee94768d04a51be26ec57e64b0d24", "version_major": 2, "version_minor": 0 }, "text/plain": [ "MapView(layout=Layout(height='400px', width='100%'), zoom=10.0)" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "m5 = gis.map(\"Mexico City\", 10)\n", "m5" ] }, { "cell_type": "code", "execution_count": 20, "metadata": {}, "outputs": [], "source": [ "m5.add_layer(extract_stretch([6, 5, 3]))" ] }, { "cell_type": "code", "execution_count": 21, "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "b4a07def91fc431b9556da364d1954c1", "version_major": 2, "version_minor": 0 }, "text/plain": [ "MapView(layout=Layout(height='400px', width='100%'), zoom=12.0)" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "m6 = gis.map(\"Ash Simasiyah, Saudi Arabia\", 12)\n", "m6" ] }, { "cell_type": "code", "execution_count": 22, "metadata": {}, "outputs": [], "source": [ "m6.add_layer(extract_stretch([5, 4, 1]))" ] } ], "metadata": { "kernelspec": { "display_name": "pygeo", "language": "python", "name": "pygeo" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.6.6" } }, "nbformat": 4, "nbformat_minor": 2 } ================================================ FILE: examples/lidar.ipynb ================================================ { "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# A tutorial for the lidar Python package\n", "\n", "This notebook demonstrates the usage of the **lidar** Python package for terrain and hydrological analysis. It is useful for analyzing high-resolution topographic data, such as digital elevation models (DEMs) derived from Light Detection and Ranging (LiDAR) data.\n", "\n", "* GitHub repo: https://github.com/giswqs/lidar\n", "* Documentation: https://lidar.readthedocs.io.\n", "* PyPI: https://pypi.org/project/lidar/\n", "* Binder: https://gishub.org/lidar-cloud\n", "* Free software: [MIT license](https://opensource.org/licenses/MIT)\n", "\n", "This tutorial can be accessed in three ways:\n", "\n", "* HTML version: https://gishub.org/lidar-html\n", "* Viewable Notebook: https://gishub.org/lidar-notebook\n", "* Interactive Notebook: https://gishub.org/lidar-cloud\n", "\n", "**Launch this tutorial as an interactive Jupyter Notebook on the cloud - [MyBinder.org](https://gishub.org/lidar-cloud).**\n", "\n", "![lidar-gif](https://i.imgur.com/aIttPVG.gif)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Table of Content\n", "\n", "* [Installation](#Installation)\n", "* [Getting data](#Getting-data)\n", "* [Using lidar](#Using-lidar)\n", "* [Displaying results](#Displaying-results)\n", "* [lidar GUI](#lidar-GUI)\n", "* [Citing lidar](#Citing-lidar)\n", "* [Credits](#Credits)\n", "* [Contact](#Contact)\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Installation\n", "\n", "\n", "The **lidar** Python package supports a variety of platforms, including Microsoft Windows, macOS, and Linux operating systems. Note that you will need to have **Python 3.x** installed. Python 2.x is not supported. The **lidar** Python package can be installed using the following command:\n", "\n", "`pip install lidar`\n", "\n", "If you have installed **lidar** Python package before and want to upgrade to the latest version, you can use the following command:\n", "\n", "`pip install lidar -U`\n", "\n", "If you encounter any installation issues, please check [Dependencies](https://github.com/giswqs/lidar#dependencies) on the **lidar** GitHub page and [Report Bugs](https://github.com/giswqs/lidar/issues)." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Getting data" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "This section demonstrates two ways to get data into Binder so that you can test the **lidar** Python package on the cloud using your own data. \n", "\n", "* [Getting data from direct URLs](#Getting-data-from-direct-URLs) \n", "* [Getting data from Google Drive](#Getting-data-from-Google-Drive)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Getting data from direct URLs\n", "\n", "If you have data hosted on your own HTTP server or GitHub, you should be able to get direct URLs. With a direct URL, users can automatically download the data when the URL is clicked. For example http://wetlands.io/file/data/lidar-dem.zip" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Import the following Python libraries and start getting data from direct URLs." ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "import os\n", "import pygis" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Create a folder named *data* and set it as the working directory." ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Working directory: /home/jovyan/examples/data\n" ] } ], "source": [ "root_dir = os.getcwd()\n", "work_dir = os.path.join(root_dir, 'data')\n", "if not os.path.exists(work_dir):\n", " os.mkdir(work_dir)\n", "print(\"Working directory: {}\".format(os.path.realpath(work_dir)))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Replace the following URL with your own direct URL hosting the data you would like to use." ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [], "source": [ "url = \"https://github.com/giswqs/lidar/raw/master/examples/lidar-dem.zip\"" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Download data the from the above URL and unzip the file if needed." ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Downloading lidar-dem.zip ...\n", "Downloading done.\n", "Unzipping lidar-dem.zip ...\n", "Unzipping done.\n", "Data directory: /home/jovyan/examples/data/lidar-dem\n" ] } ], "source": [ "pygis.download_from_url(url, out_dir=work_dir)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "You have successfully downloaded data to Binder. Therefore, you can skip to [Using lidar](#Using-lidar) and start testing **lidar** with your own data. " ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Getting data from Google Drive\n", "\n", "Alternatively, you can upload data to [Google Drive](https://www.google.com/drive/) and then [share files publicly from Google Drive](https://support.google.com/drive/answer/2494822?co=GENIE.Platform%3DDesktop&hl=en). Once the file is shared publicly, you should be able to get a shareable URL. For example, https://drive.google.com/file/d/1c6v-ep5-klb2J32Nuu1rSyqAc8kEtmdh." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "**Replace the following URL with your own shareable URL from Google Drive.**" ] }, { "cell_type": "code", "execution_count": 5, "metadata": { "scrolled": true }, "outputs": [], "source": [ "gfile_url = 'https://drive.google.com/file/d/1c6v-ep5-klb2J32Nuu1rSyqAc8kEtmdh'" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "**Download the shared file from Google Drive.**" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Google Drive file id: 1c6v-ep5-klb2J32Nuu1rSyqAc8kEtmdh\n", "Downloading 1c6v-ep5-klb2J32Nuu1rSyqAc8kEtmdh into /home/jovyan/examples/data/lidar-dem.zip... Done.\n", "Unzipping...Done.\n" ] } ], "source": [ "pygis.download_from_gdrive(gfile_url, file_name='lidar-dem.zip', out_dir=work_dir)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "You have successfully downloaded data from Google Drive to Binder. You can now continue to [Using lidar](#Using-lidar) and start testing **lidar** with your own data. " ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Using lidar" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Here you can specify where your data are located. In this example, we will use [dem.tif](https://github.com/giswqs/lidar/blob/master/examples/lidar-dem/dem.tif), which has been downloaded to the *lidar-dem* folder." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "**Import the lidar package.**" ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [], "source": [ "import lidar" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "**List data under the data folder.**" ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "['dsm.tif', 'sink.tif', 'dem.tif']\n" ] } ], "source": [ "data_dir = './data/lidar-dem/'\n", "print(os.listdir(data_dir))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "**Create a temporary folder to save results.**" ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [], "source": [ "out_dir = os.path.join(os.getcwd(), \"temp\")\n", "\n", "if not os.path.exists(out_dir):\n", " os.mkdir(out_dir)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "In this simple example, we smooth [dem.tif](https://github.com/giswqs/lidar/blob/master/examples/lidar-dem/dem.tif) using a median filter. Then we extract sinks (i.e., depressions) from the DEM. Finally, we delineate nested depression hierarchy using the [level-set algorithm](https://doi.org/10.1111/1752-1688.12689). " ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "**Set parameters for the level-set algorithm.**" ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [], "source": [ "min_size = 1000 # minimum number of pixels as a depression\n", "min_depth = 0.3 # minimum depth as a depression\n", "interval = 0.3 # slicing interval for the level-set method\n", "bool_shp = False # output shapefiles for each individual level" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "**Smooth the original DEM using a median filter.**" ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Median filtering ...\n", "Run time: 0.0258 seconds\n", "Saving dem ...\n" ] } ], "source": [ "# extracting sinks based on user-defined minimum depression size\n", "in_dem = os.path.join(data_dir, 'dem.tif')\n", "out_dem = os.path.join(out_dir, \"median.tif\")\n", "in_dem = lidar.MedianFilter(in_dem, kernel_size=3, out_file=out_dem)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "**Extract DEM sinks using a depression-filling algorithm.**" ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Loading data ...\n", "min = 379.70, max = 410.72, no_data = -3.402823e+38, cell_size = 1.0\n", "Depression filling ...\n", "Saving filled dem ...\n", "Region grouping ...\n", "Computing properties ...\n", "Saving sink dem ...\n", "Saving refined dem ...\n", "Converting raster to vector ...\n", "Total run time:\t\t\t 0.0723 s\n", "\n" ] } ], "source": [ "sink = lidar.ExtractSinks(in_dem, min_size, out_dir)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "**Identify depression nested hierarchy using the level-set algorithm.**" ] }, { "cell_type": "code", "execution_count": 13, "metadata": { "scrolled": true }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Reading data ...\n", "rows, cols: (400, 400)\n", "Pixel resolution: 1.0\n", "Read data time: 0.0036 seconds\n", "Data preparation time: 0.0737 seconds\n", "Total number of regions: 1\n", "Processing Region # 1 ...\n", "=========== Run time statistics =========== \n", "(rows, cols):\t\t\t (400, 400)\n", "Pixel resolution:\t\t 1.0 m\n", "Number of regions:\t\t 1\n", "Data preparation time:\t\t 0.0737 s\n", "Identify level time:\t\t 0.5304 s\n", "Write image time:\t\t 0.0057 s\n", "Polygonize time:\t\t 0.0130 s\n", "Total run time:\t\t\t 0.6238 s\n" ] } ], "source": [ "dep_id, dep_level = lidar.DelineateDepressions(sink, min_size, min_depth, interval, out_dir, bool_shp)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "**Print the list of output files.**" ] }, { "cell_type": "code", "execution_count": 14, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Results are saved in: /home/jovyan/examples/temp\n", "['depression_id.tif', 'depressions.shp', 'regions.shx', 'region.tif', 'sink.tif', 'depressions.dbf', 'depression_level.tif', 'regions.shp', 'depressions_info.csv', 'regions.prj', 'depressions.prj', 'dem.tif', 'depth.tif', 'depressions.shx', 'regions.dbf', 'regions_info.csv', 'dem_filled.tif', 'median.tif', 'dem_diff.tif']\n" ] } ], "source": [ "print('Results are saved in: {}'.format(out_dir))\n", "print(os.listdir(out_dir))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Displaying results\n", "\n", "This section demonstrates how to display images on Jupyter Notebook. Three Python packages are used here, including [matplotlib](https://matplotlib.org/), [imageio](https://imageio.readthedocs.io/en/stable/installation.html), and [tifffile](https://pypi.org/project/tifffile/). These three packages can be installed using the following command:\n", "\n", "`pip install matplotlib imageio tifffile`\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "**Import the libraries.**" ] }, { "cell_type": "code", "execution_count": 15, "metadata": {}, "outputs": [], "source": [ "# comment out the third line (%matplotlib inline) if you run the tutorial in other IDEs other than Jupyter Notebook\n", "import matplotlib.pyplot as plt\n", "import imageio\n", "%matplotlib inline " ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "**Display one single image.**" ] }, { "cell_type": "code", "execution_count": 16, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "raster = imageio.imread(os.path.join(data_dir, 'dem.tif'))\n", "plt.imshow(raster)\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "**Read images as numpy arrays.**" ] }, { "cell_type": "code", "execution_count": 17, "metadata": {}, "outputs": [], "source": [ "smoothed = imageio.imread(os.path.join(out_dir, 'median.tif'))\n", "sink = imageio.imread(os.path.join(out_dir, 'sink.tif'))\n", "dep_id = imageio.imread(os.path.join(out_dir, 'depression_id.tif'))\n", "dep_level = imageio.imread(os.path.join(out_dir, 'depression_level.tif'))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "**Display multiple images in one plot.**" ] }, { "cell_type": "code", "execution_count": 18, "metadata": {}, "outputs": [ { "data": { "image/png": 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "fig=plt.figure(figsize=(16,16))\n", "\n", "ax1 = fig.add_subplot(2, 2, 1)\n", "ax1.set_title('Smoothed DEM')\n", "plt.imshow(smoothed)\n", "\n", "ax2 = fig.add_subplot(2, 2, 2)\n", "ax2.set_title('DEM Sinks')\n", "plt.imshow(sink)\n", "\n", "ax3 = fig.add_subplot(2, 2, 3)\n", "ax3.set_title('Depression Unique ID')\n", "plt.imshow(dep_id)\n", "\n", "ax4 = fig.add_subplot(2, 2, 4)\n", "ax4.set_title('Depression Level')\n", "plt.imshow(dep_level)\n", "\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## lidar GUI\n", "\n", "**lidar** also provides a Graphical User Interface (GUI), which can be invoked using the following Python script. *__Note that the GUI might not work in Jupyter notebooks deployed on the cloud (e.g., MyBinder.org), but it should work on Jupyter notebooks on local computers.__*\n", "\n", "```python\n", "import lidar\n", "lidar.gui()\n", "\n", "```\n", "\n", "![lidar-gui](https://i.imgur.com/eSjcSs9.png)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Citing lidar\n", "\n", "If you use the **lidar** Python package for your research and publications, please consider citing the following papers on the contour tree and level-set algorithms, which are key components of this **lidar** Python package.\n", "\n", "* Wu, Q., Lane, C.R., Wang, L., Vanderhoof, M.K., Christensen, J.R., & Liu, H. (2018). Efficient delineation of nested depression hierarchy in digital elevation models for hydrological analyses using level-set method. Journal of the American Water Resources Association. 1-15. https://doi.org/10.1111/1752-1688.12689\n", "\n", "* Wu, Q., Liu, H., Wang, S., Yu, B., Beck, R., & Hinkel, K. (2015). A localized contour tree method for deriving geometric and topologic properties of complex surface depressions based on high resolution topographical data. International Journal of Geographical Information Science. 29:12, 2041-2060. http://dx.doi.org/10.1080/13658816.2015.1038719" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Credits\n", "\n", "This interactive notebook is made possible by [MyBinder.org](https://mybinder.org/). Big thanks to [MyBinder.org](https://mybinder.org/) for developing the amazing binder platform, which is extremely valuable for reproducible research!\n", "\n", "This tutorial made use a number of open-source Python packages, including [ Cookiecutter](https://github.com/audreyr/cookiecutter), [richdem](https://github.com/r-barnes/richdem), [numpy](http://www.numpy.org/), [scikit-image](https://scikit-image.org/) [matplotlib](https://matplotlib.org/), [imageio](https://imageio.readthedocs.io/en/stable/installation.html), [tifffile](https://pypi.org/project/tifffile/), [pygdal](https://pypi.org/project/pygdal/), [PySimpleGUI](https://pypi.org/project/PySimpleGUI/), and [google-drive-downloader](https://github.com/ndrplz/google-drive-downloader). Thanks to all developers of these wonderful Python packages!\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Contact\n", "\n", "If you have any questions regarding this tutorial or the **lidar** Python package, you can contact me (Dr. Qiusheng Wu) at wqs@binghamton.edu or https://wetlands.io/#contact" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.6.6" } }, "nbformat": 4, "nbformat_minor": 2 } ================================================ FILE: examples/rasterio.ipynb ================================================ { "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Advanced features in Rasterio\n", "\n", "https://gist.github.com/sgillies/7e5cd548110a5b4d45ac1a1d93cb17a3\n", "\n", "[Rasterio](https://mapbox.github.io/rasterio/) is an open source Python package that wraps [GDAL](http://www.gdal.org/) in idiomatic Python functions and classes.\n", "\n", "The last pre-release of Rasterio has five advanced features that are useful for developing cloud-native applications.\n", "\n", "1. Quick overviews of GeoTIFFs in the cloud\n", "2. Quick subsets of GeoTIFFs in the cloud\n", "3. Lazy warping of GeoTIFFs in the cloud\n", "4. Formatted files in RAM\n", "5. Datasets in zipped streams\n", "\n", "Please note these features already exist in the latest version of the GDAL library. What Rasterio does, for the first time, is make them into solid Python patterns.\n", "\n", "This notebook is a demonstration of these patterns.\n", "\n", "## Notebook requirements\n", "\n", "This notebook uses f-strings and requires Python 3.6. It will probably work with other Python 3 versions if the f-strings are replaced by `str.format()` calls. My team has switched to Python 3.6 this year and we're glad we did.\n", "\n", "I recommend that you run this notebook in an isolated Python environment. My preference is for one created with venv. Install the latest pre-release of Rasterio with its S3-related extras.\n", "\n", "```\n", "python3.6 -m venv rasterio-advanced-features\n", "source rasterio-advanced-features/bin/activate\n", "(rasterio-advanced-features) $ pip install --pre rasterio[s3]\n", "(rasterio-advanced-features) $ pip install mercantile jupyter\n", "```\n", "\n", "If you're a conda user, do the following.\n", "\n", "```\n", "conda create -n rasterio-advanced-features python=3.6 boto3 jupyter\n", "conda install -c conda-forge mercantile\n", "conda install -c conda-forge/label/dev rasterio\n", "```\n", "\n", "You will need an AWS account and credentials to run the scripts in this notebook. An AWS account is free and doesn't take long to set up: https://aws.amazon.com/account/.\n", "\n", "## Rasterio documentation\n", "\n", "This notebook glosses over basic usage of Rasterio and discusses several advanced usage patterns. Please consult the documentation of the Rasterio package for help with basic usage: https://mapbox.github.io/rasterio/.\n", "\n", "## Quick tour of the AWS Landsat PDS\n", "\n", "We're going to use the [AWS Landsat PDS](https://aws.amazon.com/public-datasets/landsat/) as a source of data for this notebook. From the site:\n", "\n", "> Landsat 8 data is available for anyone to use via Amazon S3. All Landsat 8 scenes are available from the start of imagery capture. All new Landsat 8 scenes are made available each day, often within hours of production.\n", "\n", "> The Landsat program is a joint effort of the U.S. Geological Survey and NASA. First launched in 1972, the Landsat series of satellites has produced the longest, continuous record of Earth’s land surface as seen from space. NASA is in charge of developing remote-sensing instruments and spacecraft, launching the satellites, and validating their performance. USGS develops the associated ground systems, then takes ownership and operates the satellites, as well as managing data reception, archiving, and distribution. Since late 2008, Landsat data have been made available to all users free of charge. Carefully calibrated Landsat imagery provides the U.S. and the world with a long-term, consistent inventory of vitally important global resources.\n", "AWS has made Landsat 8 data freely available on Amazon S3 so that anyone can use our on-demand computing resources to perform analysis and create new products without needing to worry about the cost of storing Landsat data or the time required to download it.\n", "\n", "> Landsat data is in AWS S3 bucket named *landsat-pds* and is organzied by *path*, *row*, and *scene*. The scene id also has the path and row encoded in it. If you know the scene you're interested in – by searching the USGS Earth Explorer site, or via James Bridle's [Landsat Tumblr](http://laaaaaaandsat.tumblr.com/) – you can extract the path and row and construct an AWS S3 prefix that lets you find all the objects associated with that scene using boto3." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "If you don't have AWS credentials set in your environment, you can set them in the block below. If you, delete the block. Be careful to remove your credentials from the notebook before sharing it with anyone else." ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "env: AWS_ACCESS_KEY_ID=AWS_SECRET_ACCESS_KEY=\n" ] } ], "source": [ "%env AWS_ACCESS_KEY_ID= AWS_SECRET_ACCESS_KEY=" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "In the script below we will use the AWS boto3 module to examine the structure of the Landsat Public Dataset. `LC08_L1TP_139045_20170304_20170316_01_T1` is a Landsat scene ID with a standard pattern." ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "landsat-pds c1/L8/139/045/LC08_L1TP_139045_20170304_20170316_01_T1/LC08_L1TP_139045_20170304_20170316_01_T1_ANG.txt 117122\n", "landsat-pds c1/L8/139/045/LC08_L1TP_139045_20170304_20170316_01_T1/LC08_L1TP_139045_20170304_20170316_01_T1_B1.TIF 50091654\n", 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"cell_type": "markdown", "metadata": {}, "source": [ "## There's a web browser in GDAL\n", "\n", "Each of the .TIF files in the landsat-pds bucket is a georeferenced raster dataset formatted as a [cloud optimized GeoTIFF](https://trac.osgeo.org/gdal/wiki/CloudOptimizedGeoTIFF). A GeoTIFF is a TIFF with extra tags specifying spatial reference systems and coordinates and can be accompanied by reduced-resolution .ovr files as well as other auxiliary files.\n", "\n", "There is a browser in the latest version of GDAL that can navigate these TIFFs and auxiliary files like a web browser navigates linked HTML documents. HTTP and the GeoTIFF format replace specialized geospatial raster services like [WCS](http://www.opengeospatial.org/standards/wcs) in the workflow presented in this notebook.\n", "\n", "By using GDAL's browser, Rasterio can open and query cloud-optimized GeoTIFFs *without* prior download.\n", "\n", "## Quick overviews of GeoTIFFs\n", "\n", "Rasterio affords us quickly-generated overviews of Landsat PDS GeoTIFFs. In the script below we will open a GeoTIFF stored on S3 (and identified by an AWS CLI style 's3://' URI), read a 10:1 overview of its data as a Numpy ndarray, and display the array. Note that we use no temporary file to do so.\n", "\n", "The S3 object with the name ending in `B4.TIF` corresponds to the red band of the Landsat imager." ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [ { "data": { "image/png": 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0y+yxb81FbXMMOxLAWnuMwA5GZxACRdlg6iHQRe33Efl+xrsdB4lKehcsJgpe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wx9bQ9+Ks5hAgZnqPF9Y+BcC3oiug4s720EmRd9aK4/IvpMq2YTicZXA0Kxwel4hmtQS8YsCBMy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\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import rasterio\n", "\n", "with rasterio.open(f's3://landsat-pds/{prefix}/{scene}_B4.TIF') as src:\n", " arr = src.read(out_shape=(src.height//10, src.width//10))\n", "\n", "%matplotlib inline\n", "\n", "from matplotlib import pyplot as plt\n", "\n", "plt.imshow(arr[0])\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## A look backstage\n", "\n", "Not only is there a web browser in a Rasterio dataset object, it's a sophisticated web brower that uses HTTP range requests to download the least number of bytes required to execute `src.read()` with the given parameters. With a little extra configuration we can see exactly how few bytes.\n", "\n", "We will read and display a 10:1 overview as we did for band 4. The S3 object in the listing above with the name ending in `B5.TIF` corresponds to the near-infrared (NIR) band of the Landsat imager.\n", "\n", "The little extra configuration needed is to use a rasterio environment with `CPL_CURL_VERBOSE=True` as the context for opening and reading a Landsat PDS GeoTIFF." ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [ { "data": { "image/png": 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JMnW5b5roythXk1WBJqDsqz3RB39JTmuVGgT45DeMYXaDnT7stNyxohQbL8Ae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\n/nMA/6uI9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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "with rasterio.Env(CPL_CURL_VERBOSE=True):\n", " with rasterio.open(f's3://landsat-pds/{prefix}/{scene}_B5.TIF') as src:\n", " arr = src.read(out_shape=(src.height//10, src.width//10))\n", "\n", "plt.imshow(arr[0])\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Within a `rasterio.Env` context with `CPL_CURL_VERBOSE=True`, the GDAL functions called by `rasterio.open()` and `src.read()` will print HTTP request and response details as you would see if you used `curl -v`.\n", "\n", "A dissected transcript follows. In the transcript, we can see that 5 HTTP requests are made to display the 10:1 overview image of band 5.\n", "\n", "First we see the request GDAL makes for only the first 16384 (2^14) bytes of the 63 MB B5.TIF GeoTIFF file.\n", "Please note: I've removed sensitive headers from the transcript. Yours will be different.\n", "\n", "```\n", "* Couldn't find host landsat-pds.s3.amazonaws.com in the .netrc file; using defaults\n", "* Connection 1 seems to be dead!\n", "* Closing connection 1\n", "* Trying 52.218.160.34...\n", "* TCP_NODELAY set\n", "* Connected to landsat-pds.s3.amazonaws.com (52.218.160.34) port 443 (#2)\n", "* SSL re-using session ID\n", "* TLS 1.2 connection using TLS_ECDHE_RSA_WITH_AES_128_GCM_SHA256\n", "* Server certificate: *.s3.amazonaws.com\n", "* Server certificate: DigiCert Baltimore CA-2 G2\n", "* Server certificate: Baltimore CyberTrust Root\n", "> GET /c1/L8/139/045/LC08_L1TP_139045_20170304_20170316_01_T1/LC08_L1TP_139045_20170304_20170316_01_T1_B5.TIF HTTP/1.1\n", "Host: landsat-pds.s3.amazonaws.com\n", "Range: bytes=0-16383\n", "Accept: */*\n", "\n", "< HTTP/1.1 206 Partial Content\n", "< Date: Thu, 07 Dec 2017 17:02:07 GMT\n", "< Last-Modified: Sat, 29 Apr 2017 11:24:24 GMT\n", "< ETag: \"8dfaba5cd40136c31959b411038760ab\"\n", "< Accept-Ranges: bytes\n", "< Content-Range: bytes 0-16383/63037553\n", "< Content-Type: image/tiff\n", "< Content-Length: 16384\n", "< Server: AmazonS3\n", "<\n", "* Connection #2 to host landsat-pds.s3.amazonaws.com left intact\n", "```\n", "\n", "At this point you could get the `profile` attribute of the dataset object we've named `src` and GDAL wouldn't need to download any more bytes to provide the dataset metadata. Thanks to the the TIFF format's consolidation of metadata in the head of the file and [HTTP range requests](https://tools.ietf.org/html/rfc7233), we only need to read 0.03% of the file to know its dimensions, data type, spatial extent, and coordinate reference system.\n", "\n", "Calling `src.read()` triggers 3 more HTTP requests by GDAL. The third is for the first 16384 (2^14) bytes of the 8 MB .ovr file that GDAL discovered when it fetched the directory listing. In our case, the array returned by ``src.read()`` will come entirely from the .ovr file. For a reference on GeoTIFF overviews, see http://www.gdal.org/frmt_gtiff.html.\n", "\n", "```\n", "* Couldn't find host landsat-pds.s3.amazonaws.com in the .netrc file; using defaults\n", "* Found bundle for host landsat-pds.s3.amazonaws.com: 0x109a5a9a0 [can pipeline]\n", "* Re-using existing connection! (#2) with host landsat-pds.s3.amazonaws.com\n", "* Connected to landsat-pds.s3.amazonaws.com (52.218.160.34) port 443 (#2)\n", "> GET /c1/L8/139/045/LC08_L1TP_139045_20170304_20170316_01_T1/LC08_L1TP_139045_20170304_20170316_01_T1_B5.TIF.ovr HTTP/1.1\n", "Host: landsat-pds.s3.amazonaws.com\n", "Range: bytes=0-16383\n", "Accept: */*\n", "\n", "< HTTP/1.1 206 Partial Content\n", "< Date: Thu, 07 Dec 2017 17:02:07 GMT\n", "< Last-Modified: Sat, 29 Apr 2017 11:23:56 GMT\n", "< ETag: \"d6777167ccd6141537b5e9d71abdcfeb\"\n", "< Accept-Ranges: bytes\n", "< Content-Range: bytes 0-16383/8033890\n", "< Content-Type: application/octet-stream\n", "< Content-Length: 16384\n", "< Server: AmazonS3\n", "<\n", "* Connection #2 to host landsat-pds.s3.amazonaws.com left intact\n", "```\n", "\n", "The fourth and fifth requests are for overview imagery stored near the tail of the .ovr file, as you can see in the request and response `Content-Range` headers.\n", "\n", "```\n", "* Couldn't find host landsat-pds.s3.amazonaws.com in the .netrc file; using defaults\n", "* Found bundle for host landsat-pds.s3.amazonaws.com: 0x109a5a9a0 [can pipeline]\n", "* Re-using existing connection! (#2) with host landsat-pds.s3.amazonaws.com\n", "* Connected to landsat-pds.s3.amazonaws.com (52.218.160.34) port 443 (#2)\n", "> GET /c1/L8/139/045/LC08_L1TP_139045_20170304_20170316_01_T1/LC08_L1TP_139045_20170304_20170316_01_T1_B5.TIF.ovr HTTP/1.1\n", "Host: landsat-pds.s3.amazonaws.com\n", "Range: bytes=7110656-7438335\n", "Accept: */*\n", "\n", "< HTTP/1.1 206 Partial Content\n", "< Date: Thu, 07 Dec 2017 17:02:07 GMT\n", "< Last-Modified: Sat, 29 Apr 2017 11:23:56 GMT\n", "< ETag: \"d6777167ccd6141537b5e9d71abdcfeb\"\n", "< Accept-Ranges: bytes\n", "< Content-Range: bytes 7110656-7438335/8033890\n", "< Content-Type: application/octet-stream\n", "< Content-Length: 327680\n", "< Server: AmazonS3\n", "<\n", "* Connection #2 to host landsat-pds.s3.amazonaws.com left intact\n", "* Couldn't find host landsat-pds.s3.amazonaws.com in the .netrc file; using defaults\n", "* Found bundle for host landsat-pds.s3.amazonaws.com: 0x109a5a9a0 [can pipeline]\n", "* Re-using existing connection! (#2) with host landsat-pds.s3.amazonaws.com\n", "* Connected to landsat-pds.s3.amazonaws.com (52.218.160.34) port 443 (#2)\n", "> GET /c1/L8/139/045/LC08_L1TP_139045_20170304_20170316_01_T1/LC08_L1TP_139045_20170304_20170316_01_T1_B5.TIF.ovr HTTP/1.1\n", "Host: landsat-pds.s3.amazonaws.com\n", "Range: bytes=7438336-8033889\n", "Accept: */*\n", "\n", "< HTTP/1.1 206 Partial Content\n", "< Date: Thu, 07 Dec 2017 17:02:07 GMT\n", "< Last-Modified: Sat, 29 Apr 2017 11:23:56 GMT\n", "< ETag: \"d6777167ccd6141537b5e9d71abdcfeb\"\n", "< Accept-Ranges: bytes\n", "< Content-Range: bytes 7438336-8033889/8033890\n", "< Content-Type: application/octet-stream\n", "< Content-Length: 595554\n", "< Server: AmazonS3\n", "<\n", "* Connection #2 to host landsat-pds.s3.amazonaws.com left intact\n", "```\n", "\n", "We got a 10:1 overview of one band of one Landsat scene and downloaded only 1/9th of its .ovr file – which is itself only about 1/8th of the target file." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Quick subsets of GeoTIFFs\n", "\n", "Having seen how GeoTIFF overviews work in the cloud, let's look at access to full resolution subsets of imagery.\n", "\n", "Here we'll read imagery from a random block of the GeoTIFF. Please note that blocks near the south and east edges of the GeoTIFF may be smaller than 512 x 512 pixels." ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "(5, 7) Window(col_off=3584, row_off=2560, width=512, height=512)\n" ] }, { "data": { "image/png": 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PU8+r4HmLw2zD+6eH5I/GFFXIKK2JVM9qlRGGPb2RL/oU2k5z/XBJOGjJspq2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wduQzcs2LszJ7+laSKrunM3kvjM3pXVte3WzrOQN+Nzol6BKzWxV/H+9cFN4XmlkPzub7zHooyY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\n2hMG4Qp9Z0VzVPCLZ4eiOvzGjGq3pvfdmJ1khb21ItANia3o7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HfOl58ciddhZumHa34+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LVrU0mipyYAlB1LOKx/j8htP2Qm8VsF4YFHngSYSrC1PGb7Uw/xwoob/+I8k3nMz529wfOr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\ndyunENXPKVtOm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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import random\n", "\n", "with rasterio.Env(CPL_CURL_VERBOSE=True):\n", " with rasterio.open(f's3://landsat-pds/{prefix}/{scene}_B5.TIF') as src:\n", " ij, window = random.choice(list(src.block_windows()))\n", " print(ij, window)\n", " arr = src.read(window=window)\n", "\n", "plt.imshow(arr[0])\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Backstage again\n", "\n", "Here is the transcript.\n", "\n", "```\n", "* Hostname landsat-pds.s3.amazonaws.com was found in DNS cache\n", "* Trying 52.218.208.122...\n", "* TCP_NODELAY set\n", "* Connected to landsat-pds.s3.amazonaws.com (52.218.208.122) port 443 (#5)\n", "* SSL re-using session ID\n", "* TLS 1.2 connection using TLS_ECDHE_RSA_WITH_AES_128_GCM_SHA256\n", "* Server certificate: *.s3.amazonaws.com\n", "* Server certificate: DigiCert Baltimore CA-2 G2\n", "* Server certificate: Baltimore CyberTrust Root\n", "> GET /c1/L8/139/045/LC08_L1TP_139045_20170304_20170316_01_T1/LC08_L1TP_139045_20170304_20170316_01_T1_B5.TIF HTTP/1.1\n", "Host: landsat-pds.s3.amazonaws.com\n", "Range: bytes=44646400-44957695\n", "Accept: */*\n", "\n", "< HTTP/1.1 206 Partial Content\n", "< Date: Thu, 07 Dec 2017 18:17:20 GMT\n", "< Last-Modified: Sat, 29 Apr 2017 11:24:24 GMT\n", "< ETag: \"8dfaba5cd40136c31959b411038760ab\"\n", "< Accept-Ranges: bytes\n", "< Content-Range: bytes 44646400-44957695/63037553\n", "< Content-Type: image/tiff\n", "< Content-Length: 311296\n", "< Server: AmazonS3\n", "<\n", "* Connection #5 to host landsat-pds.s3.amazonaws.com left intact\n", "```\n", "\n", "We've downloaded only 311 KB (every block of the GeoTIFF is DEFLATE compressed) of a 63 MB file to get that piece of data.\n", "\n", "GDAL's GeoTIFF browser caches the data in the fetched byte ranges, so you may not see any curl transcripts from subsequent requests. Finer control of caching will be a feature of GDAL 2.3 and future version of Rasterio." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Lazy warping: WarpedVRT\n", "\n", "The Landsat PDS data is georeferenced using the [Universal Transverse Mercator (UTM) system](https://en.wikipedia.org/wiki/Universal_Transverse_Mercator_coordinate_system). To use it in another system such as Web Mercator (also known as 'epsg:3857', as in Google Maps, Mapbox, etc.) it must be reprojected or *warped*.\n", "\n", "Rasterio has an abstraction for reprojection that also does not require prior download of the GeoTIFF file and, as with the previously discussed patterns, fetches the least number of bytes required to fill the reading window.\n", "\n", "In the script below we fetch imagery from the B5.TIF (georeferenced to UTM Zone 45) that intersects with the zoom level 11 Web Mercator tile at the center of the GeoTIFF. We will use functions from the mercantile module to get the bounds of the that tile." ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "data": { "image/png": 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VwGgdoEwUSwUr83QCjQeCv9I47R802INRT9ZHPauDBoyett1JZlgJsVIF3niU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\nxp4+E8eSlcFkyPOSZCDZbNpqZVaBQqItg+Ler2v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4A4ESiWlPnKLDQWLySEuS2AczqXLG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7rV6NbIorBRuzAd6Vvk/oZLVA+NlPlrwQVuCgHjHP9Nx7W//YS3/6MjVGsE0ANs1hXDYaCuRgl1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\npKivRqavg6ukx9BPIr4KmJGjX+SoPBDWGj3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ESJaShBZ6An4aLc7YuzISPY0oriLkAtFH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\nvN/KzRqYX2i+MfMk3By1zNaFR7D8NCx/WdzZdS24iLTsKPot5TMl6bEZvZv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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import mercantile\n", "\n", "from rasterio.vrt import WarpedVRT\n", "\n", "with rasterio.open(f's3://landsat-pds/{prefix}/{scene}_B5.TIF') as src:\n", "\n", " lng, lat = src.lnglat()\n", " tile = mercantile.tile(lng, lat, 11)\n", " merc_bounds = mercantile.xy_bounds(tile)\n", "\n", " with WarpedVRT(src, dst_crs='epsg:3857') as vrt:\n", "\n", " window = vrt.window(*merc_bounds)\n", " arr_transform = vrt.window_transform(window)\n", " arr = vrt.read(window=window)\n", "\n", "plt.imshow(arr[0])\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Formatted files in RAM: MemoryFile\n", "\n", "Raster data processing often involves temporary files. For example, in making a set of Web Mercator tiles from a differently projected raster dataset we may use a temporary GeoTIFF dataset to hold the result of a warp operation and then transform this into a JPEG, PNG, or WebP for use on the web.\n", "\n", "Python has a `NamedTemporaryFile` class in its `tempfile` module that is well suited for this task. It has a visible name in the filesystem, which GDAL requires, and is automatically cleaned up when no longer used. Its usage a raster-processing program is something like we see in the script below." ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [], "source": [ "from tempfile import NamedTemporaryFile\n", "\n", "count, height, width = arr.shape\n", "dtype = arr.dtype\n", "\n", "with NamedTemporaryFile() as temp:\n", " with rasterio.open(temp.name, 'w', driver='GTiff', dtype=dtype,\n", " count=count, height=height, width=width,\n", " transform=arr_transform) as dst:\n", " dst.write(arr)\n", "\n", " temp_bytes = temp.read()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We can see an indicator that we have a TIFF file in `temp` if we print the first few bytes." ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "b'II*\\x00\\x08\\x00\\x00\\x00\\r\\x00\\x00\\x01\\x03\\x00\\x01\\x00\\x00\\x00\\\\\\x02'\n" ] } ], "source": [ "print(temp_bytes[:20])" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Let’s say you want to write a program like this that will run on a computer with a very limited filesystem or no filesystem at all. Python has an in-memory binary file-like class, `io.BytesIO`, but, unlike `NamedTemporaryFile`, instances of `BytesIO` lack the name GDAL needs to access data. To solve this problem, Rasterio provides a new class, `io.MemoryFile`, a drop-in replacement for Python’s `NamedTemporaryFile` which keeps its bytes in a virtual file in an in-memory filesystem that GDAL can access, not on disk.\n", "\n", "The usage of `MemoryFile` is modeled after Python’s `zipfile.ZipFile` class. `MemoryFile.open` returns a dataset object, just as `rasterio.open` does." ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "b'II*\\x00\\x08\\x00\\x00\\x00\\r\\x00\\x00\\x01\\x03\\x00\\x01\\x00\\x00\\x00\\\\\\x02'\n" ] } ], "source": [ "from rasterio.io import MemoryFile\n", "\n", "with MemoryFile() as temp:\n", " with temp.open(driver='GTiff', dtype=dtype,\n", " count=count, height=height, width=width,\n", " transform=arr_transform) as dst:\n", " dst.write(arr)\n", " png_bytes = temp.read()\n", "\n", "print(temp_bytes[:20])" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "A `MemoryFile` can also be used to access datasets contained in a stream of bytes." ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "{'driver': 'GTiff', 'dtype': 'uint16', 'nodata': None, 'width': 604, 'height': 604, 'count': 1, 'crs': None, 'transform': Affine(32.374971311808814, 0.0, 9666532.345057327,\n", " 0.0, -32.374971311808814, 2485120.663606849), 'tiled': False, 'interleave': 'band'}\n" ] } ], "source": [ "with MemoryFile(temp_bytes) as temp:\n", " with temp.open() as src:\n", " print(src.profile)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Below is an example of downloading an entire Landsat PDS GeoTIFF to a stream of bytes and then opening the stream of bytes." ] }, { "cell_type": "code", "execution_count": 13, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "{'driver': 'GTiff', 'dtype': 'uint16', 'nodata': None, 'width': 7611, 'height': 7771, 'count': 1, 'crs': CRS({'init': 'epsg:32645'}), 'transform': Affine(30.0, 0.0, 382185.0,\n", " 0.0, -30.0, 2512515.0), 'blockxsize': 512, 'blockysize': 512, 'tiled': True, 'compress': 'deflate', 'interleave': 'band'}\n" ] } ], "source": [ "from io import BytesIO\n", "\n", "f's3://landsat-pds/{prefix}/{scene}_B4.TIF'\n", "\n", "s3 = boto3.resource('s3')\n", "bucket = s3.Bucket('landsat-pds')\n", "obj = bucket.Object(f'{prefix}/{scene}_B4.TIF')\n", "\n", "with BytesIO() as temp:\n", " obj.download_fileobj(temp)\n", " \n", " temp.seek(0)\n", " with MemoryFile(temp) as memfile:\n", " with memfile.open() as src:\n", " print(src.profile)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Zip files in memory\n", "\n", "Rasterio can read datasets within zipped streams of bytes. Zipfiles are commonly used in the GIS domain to package legacy multi-file formats like shapefiles (a shapefile is actually an ensemble of .shp, .dbf, .shx, .prj, and other files) or virtual raster files (VRT) and the rasters they reference.\n", "\n", "Below we'll fetch a VRT and JPEG pair from the Rasterio GitHub repo and package them in an in-memory zip file to simulate a zip file such as one that a server might accept as an upload." ] }, { "cell_type": "code", "execution_count": 14, "metadata": {}, "outputs": [], "source": [ "import io\n", "import zipfile\n", "\n", "import requests\n", "\n", "temp = io.BytesIO()\n", "\n", "with zipfile.ZipFile(temp, 'w') as pkg:\n", " res = requests.get('https://raw.githubusercontent.com/mapbox/rasterio/master/tests/data/389225main_sw_1965_1024.jpg')\n", " pkg.writestr('389225main_sw_1965_1024.jpg', res.content)\n", " res = requests.get('https://raw.githubusercontent.com/mapbox/rasterio/master/tests/data/white-gemini-iv.vrt')\n", " pkg.writestr('white-gemini-iv.vrt', res.content)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We then read the zipped VRT file. You must rewind the `BytesIO` file because its current position has been left at its end." ] }, { "cell_type": "code", "execution_count": 15, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/Users/sean/envs/rio-blog-post/lib/python3.6/site-packages/rasterio/io.py:157: NotGeoreferencedWarning: Dataset has no geotransform set. Default transform will be applied (Affine.identity())\n", " return DatasetReader(vsi_path, driver=driver, **kwargs)\n" ] }, { "data": { "image/png": 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lEqysrJAXFVXTEpgOso094hkMWiXAYZVRWMR0iwB1I6mVw1mNijxBKaqmpm4atFKkkUYr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8Ug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\nO8u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aTZRXsLy8DLhFqq1Ca4vnBQz6Ti2/2+mPBSyajTrSczS77e3tMfY7ghWSLCfJijEk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2teKefZu6+3k8b749lud7+ZwBQhuCusnn2CpNFmZWUFNFfNLqTRPZ8ftF0OxYp59waiKzhy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\naS2sBSFcqGfpwG9URJbnWJ2h8wyd54gYwLJ86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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "from rasterio.io import ZipMemoryFile\n", "\n", "temp.seek(0)\n", "with ZipMemoryFile(temp) as zipmemfile:\n", " with zipmemfile.open('white-gemini-iv.vrt') as src:\n", " rgb = src.read()\n", "\n", "import numpy\n", "\n", "plt.imshow(numpy.rollaxis(rgb, 0, 3))\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Using code like that above, you can build web services that accept zipped shapefiles or zipped VRT and rasters and process them without extracting them to your filesystem." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Conclusion\n", "\n", "Rasterio turns 5 GDAL features into solid, idiomatic Python patterns suited for building applications that run in the cloud.\n", "\n", "1. Quick overviews of GeoTIFFs in the cloud\n", "2. Quick subsets of GeoTIFFs in the cloud\n", "3. Lazy warping of GeoTIFFs in the cloud\n", "4. Formatted files in RAM\n", "5. Datasets in zipped streams" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Acknowledgements\n", "\n", "GDAL's [virtual file systems](http://www.gdal.org/gdal_virtual_file_systems.html), upon which Rasterio's `MemoryFile` and `ZipMemoryFile` are based, and virtually warped dataset feature, used by `WarpedVRT`, were written by Frank Warmerdam.\n", "\n", "Even Rouault is the author of GDAL's curl-based HTTP virtual filesystem and the GeoTIFF \"browser\" that powers cloud-optimized GeoTIFFs in Rasterio. Mapbox is proud to be a sponsor of early work on GDAL's browser.\n", "\n", "Rasterio's binary wheels are made possible by the tools and wisdom of the Python wheel-builders community: https://mail.python.org/mailman/listinfo/wheel-builders. Matthew Brett's [delocate](https://github.com/matthew-brett/delocate) has been particularly useful.\n", "\n", "Rasterio is written by programmers at companies and organizations such as Mapbox, the Conservation Biology Institute, Planet, the U.S. Geological Survey, Continuum Analytics, and DigitalGlobe. See https://github.com/mapbox/rasterio/graphs/contributors for the complete list of contributors." ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.6.6" } }, "nbformat": 4, "nbformat_minor": 2 } ================================================ FILE: examples/template.ipynb ================================================ { "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# A tutorial for the template Python package\n", "\n", "This notebook demonstrates the usage of the **template** Python package.\n", "\n", "* Author: Qiusheng Wu (https://wetlands.io | wqs@binghamton.edu)\n", "* GitHub repo: https://github.com/giswqs/python-geospatial\n", "* Viewable Notebook: https://github.com/giswqs/python-geospatial/blob/master/examples/template.ipynb\n", "* Interactive Notebook: [mybinder.org](https://mybinder.org/v2/gh/giswqs/python-geospatial/master?filepath=examples%2Ftemplate.ipynb) | [binder.pangeo.io](http://binder.pangeo.io/v2/gh/giswqs/python-geospatial/master?filepath=examples%2Ftemplate.ipynb)\n", "\n", "**Launch this tutorial as an interactive Jupyter Notebook on [mybinder.org](https://mybinder.org/v2/gh/giswqs/python-geospatial/master?filepath=examples%2Ftemplate.ipynb) or [binder.pangeo.io](http://binder.pangeo.io/v2/gh/giswqs/python-geospatial/master?filepath=examples%2Ftemplate.ipynb).**" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Table of Contents\n", "\n", "* [Installation](#Installation)\n", "* [Getting data](#Getting-data)\n", "* [Using template](#Using-template)\n", "* [Displaying results](#Displaying-results)\n", "* [Credits](#Credits)\n", "* [Contact](#Contact)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Installation\n", "\n", "\n", "The **template** Python package can be installed using the following command:\n", "\n", "`pip install template -U`" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Getting data" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "This section demonstrates two ways to get data into Binder so that you can test the **template** Python package on the cloud using your own data. We will use the **[pygis](https://github.com/giswqs/pygis)** Python package to download data into Binder. \n", "\n", "* [Getting data from direct URLs](#Getting-data-from-direct-URLs) \n", "* [Getting data from Google Drive](#Getting-data-from-Google-Drive)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Getting data from direct URLs\n", "\n", "If you have data hosted on your own HTTP server or GitHub, you should be able to get direct URLs. With a direct URL, users can automatically download the data when the URL is clicked. For example https://github.com/giswqs/lidar/raw/master/examples/lidar-dem.zip" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Import the following Python libraries and start getting data from direct URLs." ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "import os\n", "import pygis" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Create a folder named *data* and set it as the working directory." ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Working directory: /home/jovyan/examples/data\n" ] } ], "source": [ "root_dir = os.getcwd()\n", "work_dir = os.path.join(root_dir, 'data')\n", "if not os.path.exists(work_dir):\n", " os.mkdir(work_dir)\n", "print(\"Working directory: {}\".format(os.path.realpath(work_dir)))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Replace the following URL with your own direct URL hosting the data you would like to use." ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [], "source": [ "url = \"https://github.com/giswqs/lidar/raw/master/examples/lidar-dem.zip\"" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Download data the from the above URL and unzip the file if needed." ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Downloading lidar-dem.zip ...\n", "Downloading done.\n", "Unzipping lidar-dem.zip ...\n", "Unzipping done.\n", "Data directory: /home/jovyan/examples/data/lidar-dem\n" ] } ], "source": [ "pygis.download_from_url(url, out_dir=work_dir)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "You have successfully downloaded data to Binder. Therefore, you can skip to [Using template](#Using-template) and start testing **template** with your own data. " ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Getting data from Google Drive\n", "\n", "Alternatively, you can upload data to [Google Drive](https://www.google.com/drive/) and then [share files publicly from Google Drive](https://support.google.com/drive/answer/2494822?co=GENIE.Platform%3DDesktop&hl=en). Once the file is shared publicly, you should be able to get a shareable URL. For example, https://drive.google.com/file/d/1c6v-ep5-klb2J32Nuu1rSyqAc8kEtmdh." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "**Replace the following URL with your own shareable URL from Google Drive.**" ] }, { "cell_type": "code", "execution_count": 5, "metadata": { "scrolled": true }, "outputs": [], "source": [ "gfile_url = 'https://drive.google.com/file/d/1c6v-ep5-klb2J32Nuu1rSyqAc8kEtmdh'" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "**Download the shared file from Google Drive.**" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Google Drive file id: 1c6v-ep5-klb2J32Nuu1rSyqAc8kEtmdh\n", "Downloading 1c6v-ep5-klb2J32Nuu1rSyqAc8kEtmdh into /home/jovyan/examples/data/lidar-dem.zip... Done.\n", "Unzipping...Done.\n" ] } ], "source": [ "pygis.download_from_gdrive(gfile_url, file_name='lidar-dem.zip', out_dir=work_dir)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "You have successfully downloaded data from Google Drive to Binder. You can now continue to [Using lidar](#Using-lidar) and start testing **lidar** with your own data. " ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Using template" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Here you can specify where your data are located. In this example, we will use [dem.tif](https://github.com/giswqs/lidar/blob/master/examples/lidar-dem/dem.tif), which has been downloaded to the *lidar-dem* folder." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "**Import the template package.**" ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [], "source": [ "import lidar" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "**List data under the data folder.**" ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "['dsm.tif', 'sink.tif', 'dem.tif']\n" ] } ], "source": [ "data_dir = './data/lidar-dem/'\n", "print(os.listdir(data_dir))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "**Create a temporary folder to save results.**" ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Output directory: /home/jovyan/examples/temp\n" ] } ], "source": [ "out_dir = os.path.join(root_dir, \"temp\")\n", "if not os.path.exists(out_dir):\n", " os.mkdir(out_dir)\n", "print(\"Output directory: {}\".format(os.path.realpath(out_dir)))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Displaying results\n", "\n", "This section demonstrates how to display images on Jupyter Notebook. Three Python packages are used here, including [matplotlib](https://matplotlib.org/), [imageio](https://imageio.readthedocs.io/en/stable/installation.html), and [tifffile](https://pypi.org/project/tifffile/). These three packages can be installed using the following command:\n", "\n", "`pip install matplotlib imageio tifffile`\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "**Import the libraries.**" ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [], "source": [ "# comment out the third line (%matplotlib inline) if you run the tutorial in other IDEs other than Jupyter Notebook\n", "import matplotlib.pyplot as plt\n", "import imageio\n", "%matplotlib inline " ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "**Display one single image.**" ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "raster = imageio.imread(os.path.join(data_dir, 'dem.tif'))\n", "plt.imshow(raster)\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Credits\n", "\n", "This interactive notebook is made possible by [MyBinder.org](https://mybinder.org/). Big thanks to [MyBinder.org](https://mybinder.org/) for developing the amazing binder platform, which is extremely valuable for reproducible research!" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Contact\n", "\n", "If you have any questions regarding this tutorial or the **lidar** Python package, you can contact me (Dr. Qiusheng Wu) at wqs@binghamton.edu or https://wetlands.io/#contact" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.6.6" } }, "nbformat": 4, "nbformat_minor": 2 } ================================================ FILE: examples/tensorflow.ipynb ================================================ { "cells": [ { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "import tensorflow as tf" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "hello = tf.constant('Hello, TensorFlow!')" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "b'Hello, TensorFlow!'\n" ] } ], "source": [ "sess = tf.Session()\n", "print(sess.run(hello))" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "pygeo", "language": "python", "name": "pygeo" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.6.6" } }, "nbformat": 4, "nbformat_minor": 2 } ================================================ FILE: examples/whitebox.ipynb ================================================ { "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# A tutorial for the whitebox Python package\n", "\n", "This notebook demonstrates the usage of the **whitebox** Python package for geospatial analysis, which is built on a stand-alone executable command-line program called [WhiteboxTools](https://github.com/jblindsay/whitebox-tools).\n", "\n", "* Authors: Dr. John Lindsay (http://www.uoguelph.ca/~hydrogeo/index.html)\n", "* Contributors: Dr. Qiusheng Wu (https://wetlands.io)\n", "* GitHub repo: https://github.com/giswqs/whitebox\n", "* WhiteboxTools: https://github.com/jblindsay/whitebox-tools\n", "* PyPI: https://pypi.org/project/whitebox/\n", "* Documentation: https://whitebox.readthedocs.io\n", "* Binder: https://gishub.org/whitebox-cloud\n", "* Free software: [MIT license](https://opensource.org/licenses/MIT)\n", "\n", "This tutorial can be accessed in three ways:\n", "\n", "* HTML version: https://gishub.org/whitebox-html\n", "* Viewable Notebook: https://gishub.org/whitebox-notebook\n", "* Interactive Notebook: https://gishub.org/whitebox-cloud\n", "\n", "**Launch this tutorial as an interactive Jupyter Notebook on the cloud - [MyBinder.org](https://gishub.org/whitebox-cloud).**\n", "\n", "![whitebox-gif](https://i.imgur.com/LF4UE1j.gif)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Table of Content\n", "\n", "* [Installation](#Installation)\n", "* [About whitebox](#About-whitebox)\n", "* [Getting data](#Getting-data)\n", "* [Using whitebox](#Using-whitebox)\n", "* [Displaying results](#Displaying-results)\n", "* [whitebox GUI](#whitebox-GUI)\n", "* [Citing whitebox](#Citing-whitebox)\n", "* [Credits](#Credits)\n", "* [Contact](#Contact)\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Installation\n", "\n", "\n", "**whitebox** supports a variety of platforms, including Microsoft Windows, macOS, and Linux operating systems. Note that you will need to have **Python 3.x** installed. Python 2.x is not supported. The **whitebox** Python package can be installed using the following command:\n", "\n", "`pip install whitebox`\n", "\n", "If you have installed **whitebox** Python package before and want to upgrade to the latest version, you can use the following command:\n", "\n", "`pip install whitebox -U`\n", "\n", "If you encounter any installation issues, please check [Troubleshooting](https://github.com/giswqs/whitebox#troubleshooting) on the **whitebox** GitHub page and [Report Bugs](https://github.com/giswqs/whitebox#reporting-bugs)." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## About whitebox\n", "\n", "**import whitebox and call WhiteboxTools()**" ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "The directory of this notebook: /home/jovyan/examples\n" ] } ], "source": [ "import os\n", "root_dir = os.getcwd() # get the directory where this notebook is located\n", "print('The directory of this notebook: {}'.format(root_dir))" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "import whitebox\n", "wbt = whitebox.WhiteboxTools()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "**Prints the whitebox-tools help...a listing of available commands**" ] }, { "cell_type": "code", "execution_count": 3, "metadata": { "scrolled": true }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "whitebox-tools Help\n", "\n", "The following commands are recognized:\n", "--cd, --wd Changes the working directory; used in conjunction with --run flag.\n", "-h, --help Prints help information.\n", "-l, --license Prints the whitebox-tools license.\n", "--listtools Lists all available tools. Keywords may also be used, --listtools slope.\n", "-r, --run Runs a tool; used in conjuction with --wd flag; -r=\"LidarInfo\".\n", "--toolbox Prints the toolbox associated with a tool; --toolbox=Slope.\n", "--toolhelp Prints the help associated with a tool; --toolhelp=\"LidarInfo\".\n", "--toolparameters Prints the parameters (in json form) for a specific tool; --toolparameters=\"LidarInfo\".\n", "-v Verbose mode. Without this flag, tool outputs will not be printed.\n", "--viewcode Opens the source code of a tool in a web browser; --viewcode=\"LidarInfo\".\n", "--version Prints the version information.\n", "\n", "Example Usage:\n", ">> ./whitebox-tools -r=lidar_info --cd=\"/path/to/data/\" -i=input.las --vlr --geokeys\n", "\n", "\n" ] } ], "source": [ "print(wbt.help())" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "**Prints the whitebox-tools license**" ] }, { "cell_type": "code", "execution_count": 4, "metadata": { "scrolled": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "whitebox-tools License\n", "Copyright 2017-2018 John Lindsay\n", "\n", "Permission is hereby granted, free of charge, to any person obtaining a copy of this software and\n", "associated documentation files (the \"Software\"), to deal in the Software without restriction,\n", "including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense,\n", "and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so,\n", "subject to the following conditions:\n", "\n", "The above copyright notice and this permission notice shall be included in all copies or substantial\n", "portions of the Software.\n", "\n", "THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT\n", "NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND\n", "NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES\n", "OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN\n", "CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.\n", "\n" ] } ], "source": [ "print(wbt.license())" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "**Prints the whitebox-tools version**" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Version information: whitebox-tools v0.11.0 by Dr. John B. Lindsay (c) 2017-2018\n", "\n" ] } ], "source": [ "print(\"Version information: {}\".format(wbt.version()))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "**Print the help for a specific tool.**" ] }, { "cell_type": "code", "execution_count": 6, "metadata": { "scrolled": true }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "ElevPercentile\n", "Description:\n", "Calculates the elevation percentile raster from a DEM.\n", "Toolbox: Geomorphometric Analysis\n", "Parameters:\n", "\n", "Flag Description\n", "----------------- -----------\n", "-i, --input, --dem Input raster DEM file.\n", "-o, --output Output raster file.\n", "--filterx Size of the filter kernel in the x-direction.\n", "--filtery Size of the filter kernel in the y-direction.\n", "--sig_digits Number of significant digits.\n", "\n", "\n", "Example usage:\n", ">>./whitebox_tools -r=ElevPercentile -v --wd=\"/path/to/data/\" --dem=DEM.tif -o=output.tif --filter=25\n", "\n", "\n" ] } ], "source": [ "print(wbt.tool_help(\"ElevPercentile\"))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "**Tool names in the whitebox Python package can be called either using the snake_case or CamelCase convention (e.g. lidar_info or LidarInfo). The example below uses snake_case.** " ] }, { "cell_type": "code", "execution_count": 7, "metadata": { "scrolled": true }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Calculating normal vectors: 0.003435353S\n", "Smoothing normal vectors: 0.018674187S\n", "Updating elevations...\n", "Iteration 1 of 5...\n", "Iteration 2 of 5...\n", "Iteration 3 of 5...\n", "Iteration 4 of 5...\n", "Iteration 5 of 5...\n" ] }, { "data": { "text/plain": [ "0" ] }, "execution_count": 7, "metadata": {}, "output_type": "execute_result" } ], "source": [ "import os, pkg_resources\n", "\n", "# identify the sample data directory of the package\n", "data_dir = os.path.dirname(pkg_resources.resource_filename(\"whitebox\", 'testdata/'))\n", "\n", "# set whitebox working directory\n", "wbt.set_working_dir(data_dir)\n", "wbt.verbose = False\n", "\n", "# call whiteboxtools\n", "wbt.feature_preserving_denoise(\"DEM.tif\", \"smoothed.tif\", filter=9)\n", "wbt.breach_depressions(\"smoothed.tif\", \"breached.tif\")\n", "wbt.d_inf_flow_accumulation(\"breached.tif\", \"flow_accum.tif\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "**You can search tools using keywords. For example, the script below searches and lists tools with 'lidar' or 'LAS' in tool name or description.**" ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "001 block_maximum: Creates a block-maximum raster from an input ...\n", "002 block_minimum: Creates a block-minimum raster from an input ...\n", "003 classify_overlap_points: Classifies or filters LAS points in regions o ...\n", "004 clip_lidar_to_polygon: Clips a LiDAR point cloud to a vector polygon ...\n", "005 erase_polygon_from_lidar: Erases (cuts out) a vector polygon or polygon ...\n", "006 filter_lidar_scan_angles: Removes points in a LAS file with scan angles ...\n", "007 find_flightline_edge_points: Identifies points along a flightline's edge i ...\n", "008 find_patch_or_class_edge_cells: Finds all cells located on the edge of patch ...\n", "009 flightline_overlap: Reads a LiDAR (LAS) point file and outputs a ...\n", "010 las_to_ascii: Converts one or more LAS files into ASCII tex ...\n", "011 las_to_multipoint_shapefile: Converts one or more LAS files into Multipoin ...\n", "012 lidar_colourize: Adds the red-green-blue colour fields of a Li ...\n", "013 lidar_construct_vector_tin: Creates a vector triangular irregular network ...\n", "014 lidar_elevation_slice: Outputs all of the points within a LiDAR (LAS ...\n", "015 lidar_ground_point_filter: Identifies ground points within LiDAR dataset ...\n", "016 lidar_hex_binning: Hex-bins a set of LiDAR points. ...\n", "017 lidar_hillshade: Calculates a hillshade value for points withi ...\n", "018 lidar_histogram: Creates a histogram from LiDAR data. ...\n", "019 lidar_idw_interpolation: Interpolates LAS files using an inverse-dista ...\n", "020 lidar_info: Prints information about a LiDAR (LAS) datase ...\n", "021 lidar_join: Joins multiple LiDAR (LAS) files into a singl ...\n", "022 lidar_kappa_index: Performs a kappa index of agreement (KIA) ana ...\n", "023 lidar_nearest_neighbour_gridding: Grids LAS files using nearest-neighbour schem ...\n", "024 lidar_point_density: Calculates the spatial pattern of point densi ...\n", "025 lidar_point_stats: Creates several rasters summarizing the distr ...\n", "026 lidar_remove_duplicates: Removes duplicate points from a LiDAR data se ...\n", "027 lidar_remove_outliers: Removes outliers (high and low points) in a L ...\n", "028 lidar_segmentation: Segments a LiDAR point cloud based on normal ...\n", "029 lidar_segmentation_based_filter: Identifies ground points within LiDAR point c ...\n", "030 lidar_tin_gridding: Creates a raster grid based on a Delaunay tri ...\n", "031 lidar_thin: Thins a LiDAR point cloud, reducing point den ...\n", "032 lidar_thin_high_density: Thins points from high density areas within a ...\n", "033 lidar_tile: Tiles a LiDAR LAS file into multiple LAS file ...\n", "034 lidar_tile_footprint: Creates a vector polygon of the convex hull o ...\n", "035 lidar_tophat_transform: Performs a white top-hat transform on a Lidar ...\n", "036 normal_vectors: Calculates normal vectors for points within a ...\n", "037 pennock_landform_class: Classifies hillslope zones based on slope, pr ...\n", "038 raster_cell_assignment: Assign row or column number to cells. ...\n", "039 reclass: Reclassifies the values in a raster image. ...\n", "040 reclass_equal_interval: Reclassifies the values in a raster image bas ...\n", "041 reclass_from_file: Reclassifies the values in a raster image usi ...\n", "042 select_tiles_by_polygon: Copies LiDAR tiles overlapping with a polygon ...\n", "043 stream_link_class: Identifies the exterior/interior links and no ...\n" ] } ], "source": [ "lidar_tools = wbt.list_tools(['lidar', 'LAS'])\n", "for index, tool in enumerate(lidar_tools):\n", " print(\"{} {}: {} ...\".format(str(index+1).zfill(3), tool, lidar_tools[tool][:45]))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "**List all available tools in whitebox-tools**. Currently, **whitebox** contains 372 tools. More tools will be added as they become available." ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "001 absolute_value: Calculates the absolute value of every cell i ...\n", "002 adaptive_filter: Performs an adaptive filter on an image. ...\n", "003 add: Performs an addition operation on two rasters ...\n", "004 add_point_coordinates_to_table: Modifies the attribute table of a point vecto ...\n", "005 aggregate_raster: Aggregates a raster to a lower resolution. ...\n", "006 and: Performs a logical AND operator on two Boolea ...\n", "007 anova: Performs an analysis of variance (ANOVA) test ...\n", "008 arc_cos: Returns the inverse cosine (arccos) of each v ...\n", "009 arc_sin: Returns the inverse sine (arcsin) of each val ...\n", "010 arc_tan: Returns the inverse tangent (arctan) of each ...\n", "011 aspect: Calculates an aspect raster from an input DEM ...\n", "012 atan2: Returns the 2-argument inverse tangent (atan2 ...\n", "013 attribute_correlation: Performs a correlation analysis on attribute ...\n", "014 attribute_histogram: Creates a histogram for the field values of a ...\n", "015 attribute_scattergram: Creates a scattergram for two field values of ...\n", "016 average_flowpath_slope: Measures the average slope gradient from each ...\n", "017 average_overlay: Calculates the average for each grid cell fro ...\n", "018 average_upslope_flowpath_length: Measures the average length of all upslope fl ...\n", "019 balance_contrast_enhancement: Performs a balance contrast enhancement on a ...\n", "020 basins: Identifies drainage basins that drain to the ...\n", "021 bilateral_filter: A bilateral filter is an edge-preserving smoo ...\n", "022 block_maximum: Creates a block-maximum raster from an input ...\n", "023 block_minimum: Creates a block-minimum raster from an input ...\n", "024 breach_depressions: Breaches all of the depressions in a DEM usin ...\n", "025 breach_single_cell_pits: Removes single-cell pits from an input DEM by ...\n", "026 buffer_raster: Maps a distance-based buffer around each non- ...\n", "027 ceil: Returns the smallest (closest to negative inf ...\n", "028 centroid: Calculates the centroid, or average location, ...\n", "029 centroid_vector: Identifes the centroid point of a vector poly ...\n", "030 change_vector_analysis: Performs a change vector analysis on a two-da ...\n", "031 classify_overlap_points: Classifies or filters LAS points in regions o ...\n", "032 clip_lidar_to_polygon: Clips a LiDAR point cloud to a vector polygon ...\n", "033 clip_raster_to_polygon: Clips a raster to a vector polygon. ...\n", "034 closing: A closing is a mathematical morphology operat ...\n", "035 clump: Groups cells that form physically discrete ar ...\n", "036 compactness_ratio: Calculates the compactness ratio (A/P), a mea ...\n", "037 conservative_smoothing_filter: Performs a conservative-smoothing filter on a ...\n", "038 construct_vector_tin: Creates a vector triangular irregular network ...\n", "039 convert_nodata_to_zero: Converts nodata values in a raster to zero. ...\n", "040 convert_raster_format: Converts raster data from one format to anoth ...\n", "041 corner_detection: Identifies corner patterns in boolean images ...\n", "042 correct_vignetting: Corrects the darkening of images towards corn ...\n", "043 cos: Returns the cosine (cos) of each values in a ...\n", "044 cosh: Returns the hyperbolic cosine (cosh) of each ...\n", "045 cost_allocation: Identifies the source cell to which each grid ...\n", "046 cost_distance: Performs cost-distance accumulation on a cost ...\n", "047 cost_pathway: Performs cost-distance pathway analysis using ...\n", "048 count_if: Counts the number of occurrences of a specifi ...\n", "049 create_colour_composite: Creates a colour-composite image from three b ...\n", "050 create_hexagonal_vector_grid: Creates a hexagonal vector grid. ...\n", "051 create_plane: Creates a raster image based on the equation ...\n", "052 create_rectangular_vector_grid: Creates a rectangular vector grid. ...\n", "053 crispness_index: Calculates the Crispness Index, which is used ...\n", "054 cross_tabulation: Performs a cross-tabulation on two categorica ...\n", "055 cumulative_distribution: Converts a raster image to its cumulative dis ...\n", "056 d8_flow_accumulation: Calculates a D8 flow accumulation raster from ...\n", "057 d8_mass_flux: Performs a D8 mass flux calculation. ...\n", "058 d8_pointer: Calculates a D8 flow pointer raster from an i ...\n", "059 d_inf_flow_accumulation: Calculates a D-infinity flow accumulation ras ...\n", "060 d_inf_mass_flux: Performs a D-infinity mass flux calculation. ...\n", "061 d_inf_pointer: Calculates a D-infinity flow pointer (flow di ...\n", "062 decrement: Decreases the values of each grid cell in an ...\n", "063 depth_in_sink: Measures the depth of sinks (depressions) in ...\n", "064 dev_from_mean_elev: Calculates deviation from mean elevation. ...\n", "065 diff_from_mean_elev: Calculates difference from mean elevation (eq ...\n", "066 diff_of_gaussian_filter: Performs a Difference of Gaussian (DoG) filte ...\n", "067 direct_decorrelation_stretch: Performs a direct decorrelation stretch enhan ...\n", "068 directional_relief: Calculates relief for cells in an input DEM f ...\n", "069 distance_to_outlet: Calculates the distance of stream grid cells ...\n", "070 diversity_filter: Assigns each cell in the output grid the numb ...\n", "071 divide: Performs a division operation on two rasters ...\n", "072 downslope_distance_to_stream: Measures distance to the nearest downslope st ...\n", "073 downslope_flowpath_length: Calculates the downslope flowpath length from ...\n", "074 downslope_index: Calculates the Hjerdt et al. (2004) downslope ...\n", "075 drainage_preserving_smoothing: Reduces short-scale variation in an input DEM ...\n", "076 edge_preserving_mean_filter: Performs a simple edge-preserving mean filter ...\n", "077 edge_proportion: Calculate the proportion of cells in a raster ...\n", "078 elev_above_pit: Calculate the elevation of each grid cell abo ...\n", "079 elev_percentile: Calculates the elevation percentile raster fr ...\n", "080 elev_relative_to_min_max: Calculates the elevation of a location relati ...\n", "081 elev_relative_to_watershed_min_max: Calculates the elevation of a location relati ...\n", "082 elevation_above_stream: Calculates the elevation of cells above the n ...\n", "083 elevation_above_stream_euclidean: Calculates the elevation of cells above the n ...\n", "084 eliminate_coincident_points: Removes any coincident, or nearly coincident, ...\n", "085 elongation_ratio: Calculates the elongation ratio for vector po ...\n", "086 emboss_filter: Performs an emboss filter on an image, simila ...\n", "087 equal_to: Performs a equal-to comparison operation on t ...\n", "088 erase_polygon_from_lidar: Erases (cuts out) a vector polygon or polygon ...\n", "089 erase_polygon_from_raster: Erases (cuts out) a vector polygon from a ras ...\n", "090 euclidean_allocation: Assigns grid cells in the output raster the v ...\n", "091 euclidean_distance: Calculates the Shih and Wu (2004) Euclidean d ...\n", "092 exp: Returns the exponential (base e) of values in ...\n", "093 exp2: Returns the exponential (base 2) of values in ...\n", "094 export_table_to_csv: Exports an attribute table to a CSV text file ...\n", "095 extend_vector_lines: Extends vector lines by a specified distance. ...\n", "096 extract_nodes: Converts vector lines or polygons into vertex ...\n", "097 extract_raster_statistics: Extracts descriptive statistics for a group o ...\n", "098 extract_raster_values_at_points: Extracts the values of raster(s) at vector po ...\n", "099 extract_streams: Extracts stream grid cells from a flow accumu ...\n", "100 extract_valleys: Identifies potential valley bottom grid cells ...\n", "101 fd8_flow_accumulation: Calculates an FD8 flow accumulation raster fr ...\n", "102 fd8_pointer: Calculates an FD8 flow pointer raster from an ...\n", "103 farthest_channel_head: Calculates the distance to the furthest upstr ...\n", "104 fast_almost_gaussian_filter: Performs a fast approximate Gaussian filter o ...\n", "105 feature_preserving_denoise: Reduces short-scale variation in an input DEM ...\n", "106 fetch_analysis: Performs an analysis of fetch or upwind dista ...\n", "107 fill_burn: Burns streams into a DEM using the FillBurn ( ...\n", "108 fill_depressions: Fills all of the depressions in a DEM. Depres ...\n", "109 fill_missing_data: Fills nodata holes in a DEM. ...\n", "110 fill_single_cell_pits: Raises pit cells to the elevation of their lo ...\n", "111 filter_lidar_scan_angles: Removes points in a LAS file with scan angles ...\n", "112 find_flightline_edge_points: Identifies points along a flightline's edge i ...\n", "113 find_lowest_or_highest_points: Locates the lowest and/or highest valued cell ...\n", "114 find_main_stem: Finds the main stem, based on stream lengths, ...\n", "115 find_no_flow_cells: Finds grid cells with no downslope neighbours ...\n", "116 find_parallel_flow: Finds areas of parallel flow in D8 flow direc ...\n", "117 find_patch_or_class_edge_cells: Finds all cells located on the edge of patch ...\n", "118 find_ridges: Identifies potential ridge and peak grid cell ...\n", "119 flatten_lakes: Flattens lake polygons in a raster DEM. ...\n", "120 flightline_overlap: Reads a LiDAR (LAS) point file and outputs a ...\n", "121 flip_image: Reflects an image in the vertical or horizont ...\n", "122 flood_order: Assigns each DEM grid cell its order in the s ...\n", "123 floor: Returns the largest (closest to positive infi ...\n", "124 flow_accumulation_full_workflow: Resolves all of the depressions in a DEM, out ...\n", "125 flow_length_diff: Calculates the local maximum absolute differe ...\n", "126 gamma_correction: Performs a sigmoidal contrast stretch on inpu ...\n", "127 gaussian_contrast_stretch: Performs a Gaussian contrast stretch on input ...\n", "128 gaussian_filter: Performs a Gaussian filter on an image. ...\n", "129 greater_than: Performs a greater-than comparison operation ...\n", "130 hack_stream_order: Assigns the Hack stream order to each tributa ...\n", "131 high_pass_filter: Performs a high-pass filter on an input image ...\n", "132 high_pass_median_filter: Performs a high pass median filter on an inpu ...\n", "133 highest_position: Identifies the stack position of the maximum ...\n", "134 hillshade: Calculates a hillshade raster from an input D ...\n", "135 hillslopes: Identifies the individual hillslopes draining ...\n", "136 histogram_equalization: Performs a histogram equalization contrast en ...\n", "137 histogram_matching: Alters the statistical distribution of a rast ...\n", "138 histogram_matching_two_images: This tool alters the cumulative distribution ...\n", "139 hole_proportion: Calculates the proportion of the total area o ...\n", "140 horizon_angle: Calculates horizon angle (maximum upwind slop ...\n", "141 horton_stream_order: Assigns the Horton stream order to each tribu ...\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "142 hypsometric_analysis: Calculates a hypsometric curve for one or mor ...\n", "143 idw_interpolation: Interpolates vector points into a raster surf ...\n", "144 ihs_to_rgb: Converts intensity, hue, and saturation (IHS) ...\n", "145 image_autocorrelation: Performs Moran's I analysis on two or more in ...\n", "146 image_correlation: Performs image correlation on two or more inp ...\n", "147 image_regression: Performs image regression analysis on two inp ...\n", "148 image_stack_profile: Plots an image stack profile (i.e. signature) ...\n", "149 impoundment_index: Calculates the impoundment size resulting fro ...\n", "150 in_place_add: Performs an in-place addition operation (inpu ...\n", "151 in_place_divide: Performs an in-place division operation (inpu ...\n", "152 in_place_multiply: Performs an in-place multiplication operation ...\n", "153 in_place_subtract: Performs an in-place subtraction operation (i ...\n", "154 increment: Increases the values of each grid cell in an ...\n", "155 integer_division: Performs an integer division operation on two ...\n", "156 integral_image: Transforms an input image (summed area table) ...\n", "157 is_no_data: Identifies NoData valued pixels in an image. ...\n", "158 isobasins: Divides a landscape into nearly equal sized d ...\n", "159 jenson_snap_pour_points: Moves outlet points used to specify points of ...\n", "160 k_means_clustering: Performs a k-means clustering operation on a ...\n", "161 k_nearest_mean_filter: A k-nearest mean filter is a type of edge-pre ...\n", "162 ks_test_for_normality: Evaluates whether the values in a raster are ...\n", "163 kappa_index: Performs a kappa index of agreement (KIA) ana ...\n", "164 laplacian_filter: Performs a Laplacian filter on an image. ...\n", "165 laplacian_of_gaussian_filter: Performs a Laplacian-of-Gaussian (LoG) filter ...\n", "166 las_to_ascii: Converts one or more LAS files into ASCII tex ...\n", "167 las_to_multipoint_shapefile: Converts one or more LAS files into Multipoin ...\n", "168 layer_footprint: Creates a vector polygon footprint of the are ...\n", "169 lee_filter: Performs a Lee (Sigma) smoothing filter on an ...\n", "170 length_of_upstream_channels: Calculates the total length of channels upstr ...\n", "171 less_than: Performs a less-than comparison operation on ...\n", "172 lidar_colourize: Adds the red-green-blue colour fields of a Li ...\n", "173 lidar_construct_vector_tin: Creates a vector triangular irregular network ...\n", "174 lidar_elevation_slice: Outputs all of the points within a LiDAR (LAS ...\n", "175 lidar_ground_point_filter: Identifies ground points within LiDAR dataset ...\n", "176 lidar_hex_binning: Hex-bins a set of LiDAR points. ...\n", "177 lidar_hillshade: Calculates a hillshade value for points withi ...\n", "178 lidar_histogram: Creates a histogram from LiDAR data. ...\n", "179 lidar_idw_interpolation: Interpolates LAS files using an inverse-dista ...\n", "180 lidar_info: Prints information about a LiDAR (LAS) datase ...\n", "181 lidar_join: Joins multiple LiDAR (LAS) files into a singl ...\n", "182 lidar_kappa_index: Performs a kappa index of agreement (KIA) ana ...\n", "183 lidar_nearest_neighbour_gridding: Grids LAS files using nearest-neighbour schem ...\n", "184 lidar_point_density: Calculates the spatial pattern of point densi ...\n", "185 lidar_point_stats: Creates several rasters summarizing the distr ...\n", "186 lidar_remove_duplicates: Removes duplicate points from a LiDAR data se ...\n", "187 lidar_remove_outliers: Removes outliers (high and low points) in a L ...\n", "188 lidar_segmentation: Segments a LiDAR point cloud based on normal ...\n", "189 lidar_segmentation_based_filter: Identifies ground points within LiDAR point c ...\n", "190 lidar_tin_gridding: Creates a raster grid based on a Delaunay tri ...\n", "191 lidar_thin: Thins a LiDAR point cloud, reducing point den ...\n", "192 lidar_thin_high_density: Thins points from high density areas within a ...\n", "193 lidar_tile: Tiles a LiDAR LAS file into multiple LAS file ...\n", "194 lidar_tile_footprint: Creates a vector polygon of the convex hull o ...\n", "195 lidar_tophat_transform: Performs a white top-hat transform on a Lidar ...\n", "196 line_detection_filter: Performs a line-detection filter on an image. ...\n", "197 line_thinning: Performs line thinning a on Boolean raster im ...\n", "198 lines_to_polygons: Converts vector polylines to polygons. ...\n", "199 list_unique_values: Lists the unique values contained in a field ...\n", "200 ln: Returns the natural logarithm of values in a ...\n", "201 log10: Returns the base-10 logarithm of values in a ...\n", "202 log2: Returns the base-2 logarithm of values in a r ...\n", "203 long_profile: Plots the stream longitudinal profiles for on ...\n", "204 long_profile_from_points: Plots the longitudinal profiles from flow-pat ...\n", "205 lowest_position: Identifies the stack position of the minimum ...\n", "206 majority_filter: Assigns each cell in the output grid the most ...\n", "207 max: Performs a MAX operation on two rasters or a ...\n", "208 max_absolute_overlay: Evaluates the maximum absolute value for each ...\n", "209 max_anisotropy_dev: Calculates the maximum anisotropy (directiona ...\n", "210 max_anisotropy_dev_signature: Calculates the anisotropy in deviation from m ...\n", "211 max_branch_length: Lindsay and Seibert's (2013) branch length in ...\n", "212 max_difference_from_mean: Calculates the maximum difference from mean e ...\n", "213 max_downslope_elev_change: Calculates the maximum downslope change in el ...\n", "214 max_elev_dev_signature: Calculates the maximum elevation deviation ov ...\n", "215 max_elevation_deviation: Calculates the maximum elevation deviation ov ...\n", "216 max_overlay: Evaluates the maximum value for each grid cel ...\n", "217 max_upslope_flowpath_length: Measures the maximum length of all upslope fl ...\n", "218 maximum_filter: Assigns each cell in the output grid the maxi ...\n", "219 mean_filter: Performs a mean filter (low-pass filter) on a ...\n", "220 median_filter: Performs a median filter on an input image. ...\n", "221 medoid: Calculates the medoid for a series of vector ...\n", "222 min: Performs a MIN operation on two rasters or a ...\n", "223 min_absolute_overlay: Evaluates the minimum absolute value for each ...\n", "224 min_downslope_elev_change: Calculates the minimum downslope change in el ...\n", "225 min_max_contrast_stretch: Performs a min-max contrast stretch on an inp ...\n", "226 min_overlay: Evaluates the minimum value for each grid cel ...\n", "227 minimum_bounding_box: Creates a vector minimum bounding rectangle a ...\n", "228 minimum_bounding_circle: Delineates the minimum bounding circle (i.e. ...\n", "229 minimum_bounding_envelope: Creates a vector axis-aligned minimum boundin ...\n", "230 minimum_convex_hull: Creates a vector convex polygon around vector ...\n", "231 minimum_filter: Assigns each cell in the output grid the mini ...\n", "232 modified_k_means_clustering: Performs a modified k-means clustering operat ...\n", "233 modulo: Performs a modulo operation on two rasters or ...\n", "234 mosaic: Mosaics two or more images together. ...\n", "235 multi_part_to_single_part: Converts a vector file containing multi-part ...\n", "236 multiply: Performs a multiplication operation on two ra ...\n", "237 multiscale_roughness: Calculates surface roughness over a range of ...\n", "238 multiscale_roughness_signature: Calculates the surface roughness for points o ...\n", "239 multiscale_topographic_position_image: Creates a multiscale topographic position ima ...\n", "240 negate: Changes the sign of values in a raster or the ...\n", "241 new_raster_from_base: Creates a new raster using a base image. ...\n", "242 normal_vectors: Calculates normal vectors for points within a ...\n", "243 normalized_difference_vegetation_index: Calculates the normalized difference vegetati ...\n", "244 not: Performs a logical NOT operator on two Boolea ...\n", "245 not_equal_to: Performs a not-equal-to comparison operation ...\n", "246 num_downslope_neighbours: Calculates the number of downslope neighbours ...\n", "247 num_inflowing_neighbours: Computes the number of inflowing neighbours t ...\n", "248 num_upslope_neighbours: Calculates the number of upslope neighbours t ...\n", "249 olympic_filter: Performs an olympic smoothing filter on an im ...\n", "250 opening: An opening is a mathematical morphology opera ...\n", "251 or: Performs a logical OR operator on two Boolean ...\n", "252 panchromatic_sharpening: Increases the spatial resolution of image dat ...\n", "253 pennock_landform_class: Classifies hillslope zones based on slope, pr ...\n", "254 percent_elev_range: Calculates percent of elevation range from a ...\n", "255 percent_equal_to: Calculates the percentage of a raster stack t ...\n", "256 percent_greater_than: Calculates the percentage of a raster stack t ...\n", "257 percent_less_than: Calculates the percentage of a raster stack t ...\n", "258 percentage_contrast_stretch: Performs a percentage linear contrast stretch ...\n", "259 percentile_filter: Performs a percentile filter on an input imag ...\n", "260 perimeter_area_ratio: Calculates the perimeter-area ratio of vector ...\n", "261 pick_from_list: Outputs the value from a raster stack specifi ...\n", "262 plan_curvature: Calculates a plan (contour) curvature raster ...\n", "263 polygon_area: Calculates the area of vector polygons. ...\n", "264 polygon_long_axis: This tool can be used to map the long axis of ...\n", "265 polygon_perimeter: Calculates the perimeter of vector polygons. ...\n", "266 polygon_short_axis: This tool can be used to map the short axis o ...\n", "267 polygons_to_lines: Converts vector polygons to polylines. ...\n", "268 power: Raises the values in grid cells of one raster ...\n", "269 prewitt_filter: Performs a Prewitt edge-detection filter on a ...\n", "270 principal_component_analysis: Performs a principal component analysis (PCA) ...\n", "271 print_geo_tiff_tags: Prints the tags within a GeoTIFF. ...\n", "272 profile: Plots profiles from digital surface models. ...\n", "273 profile_curvature: Calculates a profile curvature raster from an ...\n", "274 quantiles: Transforms raster values into quantiles. ...\n", "275 radius_of_gyration: Calculates the distance of cells from their p ...\n", "276 raise_walls: Raises walls in a DEM along a line or around ...\n", "277 random_field: Creates an image containing random values. ...\n", "278 random_sample: Creates an image containing randomly located ...\n", "279 range_filter: Assigns each cell in the output grid the rang ...\n", "280 raster_cell_assignment: Assign row or column number to cells. ...\n", "281 raster_histogram: Creates a histogram from raster values. ...\n", "282 raster_streams_to_vector: Converts a raster stream file into a vector f ...\n", "283 raster_summary_stats: Measures a rasters average, standard deviatio ...\n", "284 raster_to_vector_points: Converts a raster dataset to a vector of the ...\n", "285 rasterize_streams: Rasterizes vector streams based on Lindsay (2 ...\n", "286 reciprocal: Returns the reciprocal (i.e. 1 / z) of values ...\n", "287 reclass: Reclassifies the values in a raster image. ...\n", "288 reclass_equal_interval: Reclassifies the values in a raster image bas ...\n", "289 reclass_from_file: Reclassifies the values in a raster image usi ...\n", "290 reinitialize_attribute_table: Reinitializes a vector's attribute table dele ...\n", "291 related_circumscribing_circle: Calculates the related circumscribing circle ...\n", "292 relative_aspect: Calculates relative aspect (relative to a use ...\n", "293 relative_stream_power_index: Calculates the relative stream power index. ...\n", "294 relative_topographic_position: Calculates the relative topographic position ...\n", "295 remove_off_terrain_objects: Removes off-terrain objects from a raster dig ...\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "296 remove_polygon_holes: Removes holes within the features of a vector ...\n", "297 remove_short_streams: Removes short first-order streams from a stre ...\n", "298 remove_spurs: Removes the spurs (pruning operation) from a ...\n", "299 resample: Resamples one or more input images into a des ...\n", "300 rescale_value_range: Performs a min-max contrast stretch on an inp ...\n", "301 rgb_to_ihs: Converts red, green, and blue (RGB) images in ...\n", "302 rho8_pointer: Calculates a stochastic Rho8 flow pointer ras ...\n", "303 roberts_cross_filter: Performs a Robert's cross edge-detection filt ...\n", "304 root_mean_square_error: Calculates the RMSE and other accuracy statis ...\n", "305 round: Rounds the values in an input raster to the n ...\n", "306 ruggedness_index: Calculates the Riley et al.'s (1999) terrain ...\n", "307 scharr_filter: Performs a Scharr edge-detection filter on an ...\n", "308 sediment_transport_index: Calculates the sediment transport index. ...\n", "309 select_tiles_by_polygon: Copies LiDAR tiles overlapping with a polygon ...\n", "310 set_nodata_value: Assign a specified value in an input image to ...\n", "311 shape_complexity_index: Calculates overall polygon shape complexity o ...\n", "312 shreve_stream_magnitude: Assigns the Shreve stream magnitude to each l ...\n", "313 sigmoidal_contrast_stretch: Performs a sigmoidal contrast stretch on inpu ...\n", "314 sin: Returns the sine (sin) of each values in a ra ...\n", "315 single_part_to_multi_part: Converts a vector file containing multi-part ...\n", "316 sinh: Returns the hyperbolic sine (sinh) of each va ...\n", "317 sink: Identifies the depressions in a DEM, giving e ...\n", "318 slope: Calculates a slope raster from an input DEM. ...\n", "319 slope_vs_elevation_plot: Creates a slope vs. elevation plot for one or ...\n", "320 smooth_vectors: Smooths a vector coverage of either a POLYLIN ...\n", "321 snap_pour_points: Moves outlet points used to specify points of ...\n", "322 sobel_filter: Performs a Sobel edge-detection filter on an ...\n", "323 split_colour_composite: This tool splits an RGB colour composite imag ...\n", "324 square: Squares the values in a raster. ...\n", "325 square_root: Returns the square root of the values in a ra ...\n", "326 standard_deviation_contrast_stretch: Performs a standard-deviation contrast stretc ...\n", "327 standard_deviation_filter: Assigns each cell in the output grid the stan ...\n", "328 standard_deviation_of_slope: Calculates the standard deviation of slope fr ...\n", "329 stochastic_depression_analysis: Preforms a stochastic analysis of depressions ...\n", "330 strahler_order_basins: Identifies Strahler-order basins from an inpu ...\n", "331 strahler_stream_order: Assigns the Strahler stream order to each lin ...\n", "332 stream_link_class: Identifies the exterior/interior links and no ...\n", "333 stream_link_identifier: Assigns a unique identifier to each link in a ...\n", "334 stream_link_length: Estimates the length of each link (or tributa ...\n", "335 stream_link_slope: Estimates the average slope of each link (or ...\n", "336 stream_slope_continuous: Estimates the slope of each grid cell in a st ...\n", "337 subbasins: Identifies the catchments, or sub-basin, drai ...\n", "338 subtract: Performs a differencing operation on two rast ...\n", "339 sum_overlay: Calculates the sum for each grid cell from a ...\n", "340 tin_gridding: Creates a raster grid based on a triangular i ...\n", "341 tan: Returns the tangent (tan) of each values in a ...\n", "342 tangential_curvature: Calculates a tangential curvature raster from ...\n", "343 tanh: Returns the hyperbolic tangent (tanh) of each ...\n", "344 thicken_raster_line: Thickens single-cell wide lines within a rast ...\n", "345 to_degrees: Converts a raster from radians to degrees. ...\n", "346 to_radians: Converts a raster from degrees to radians. ...\n", "347 tophat_transform: Performs either a white or black top-hat tran ...\n", "348 topological_stream_order: Assigns each link in a stream network its top ...\n", "349 total_curvature: Calculates a total curvature raster from an i ...\n", "350 total_filter: Performs a total filter on an input image. ...\n", "351 trace_downslope_flowpaths: Traces downslope flowpaths from one or more t ...\n", "352 trend_surface: Estimates the trend surface of an input raste ...\n", "353 trend_surface_vector_points: Estimates a trend surface from vector points. ...\n", "354 tributary_identifier: Assigns a unique identifier to each tributary ...\n", "355 truncate: Truncates the values in a raster to the desir ...\n", "356 turning_bands_simulation: Creates an image containing random values bas ...\n", "357 unnest_basins: Extract whole watersheds for a set of outlet ...\n", "358 unsharp_masking: An image sharpening technique that enhances e ...\n", "359 user_defined_weights_filter: Performs a user-defined weights filter on an ...\n", "360 vector_hex_binning: Hex-bins a set of vector points. ...\n", "361 vector_lines_to_raster: Converts a vector containing polylines into a ...\n", "362 vector_points_to_raster: Converts a vector containing points into a ra ...\n", "363 vector_polygons_to_raster: Converts a vector containing polygons into a ...\n", "364 viewshed: Identifies the viewshed for a point or set of ...\n", "365 visibility_index: Estimates the relative visibility of sites in ...\n", "366 watershed: Identifies the watershed, or drainage basin, ...\n", "367 weighted_overlay: Performs a weighted sum on multiple input ras ...\n", "368 weighted_sum: Performs a weighted-sum overlay on multiple i ...\n", "369 wetness_index: Calculates the topographic wetness index, Ln( ...\n", "370 write_function_memory_insertion: Performs a write function memory insertion fo ...\n", "371 xor: Performs a logical XOR operator on two Boolea ...\n", "372 z_scores: Standardizes the values in an input raster by ...\n" ] } ], "source": [ "all_tools = wbt.list_tools()\n", "for index, tool in enumerate(all_tools):\n", " print(\"{} {}: {} ...\".format(str(index+1).zfill(3), tool, all_tools[tool][:45]))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Getting data" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "This section demonstrates two ways to get data into Binder so that you can test **whitebox** on the cloud using your own data. \n", "\n", "* [Getting data from direct URLs](#Getting-data-from-direct-URLs) \n", "* [Getting data from Google Drive](#Getting-data-from-Google-Drive)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Getting data from direct URLs\n", "\n", "If you have data hosted on your own HTTP server or GitHub, you should be able to get direct URLs. With a direct URL, users can automatically download the data when the URL is clicked. For example https://github.com/giswqs/whitebox/raw/master/examples/testdata.zip" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Import the following Python libraries and start getting data from direct URLs." ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [], "source": [ "import os\n", "import pygis" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Create a folder named *whitebox* under the user home folder and set it as the working directory." ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Working directory: /home/jovyan/examples/data\n" ] } ], "source": [ "work_dir = os.path.join(root_dir, 'data')\n", "if not os.path.exists(work_dir):\n", " os.mkdir(work_dir)\n", "print(\"Working directory: {}\".format(os.path.realpath(work_dir)))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Replace the following URL with your own direct URL hosting your data." ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [], "source": [ "url = \"https://github.com/giswqs/whitebox/raw/master/examples/testdata.zip\"" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Download data the from the above URL and unzip the file if needed." ] }, { "cell_type": "code", "execution_count": 13, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Downloading testdata.zip ...\n", "Downloading done.\n", "Unzipping testdata.zip ...\n", "Unzipping done.\n", "Data directory: /home/jovyan/examples/data/testdata\n" ] } ], "source": [ "pygis.download_from_url(url, out_dir=work_dir)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "You have successfully downloaded data to Binder. Therefore, you can skip to [Using whitebox](#Using-whitebox) and start testing whitebox with your own data. " ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Getting data from Google Drive\n", "\n", "Alternatively, you can upload data to [Google Drive](https://www.google.com/drive/) and then [share files publicly from Google Drive](https://support.google.com/drive/answer/2494822?co=GENIE.Platform%3DDesktop&hl=en). Once the file is shared publicly, you should be able to get a shareable URL. For example, https://drive.google.com/file/d/1xgxMLRh_jOLRNq-f3T_LXAaSuv9g_JnV." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "**Replace the following URL with your own shareable URL from Google Drive.**" ] }, { "cell_type": "code", "execution_count": 14, "metadata": { "scrolled": true }, "outputs": [], "source": [ "gfile_url = 'https://drive.google.com/file/d/1xgxMLRh_jOLRNq-f3T_LXAaSuv9g_JnV'" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "**Download the shared file from Google Drive.**" ] }, { "cell_type": "code", "execution_count": 15, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Google Drive file id: 1xgxMLRh_jOLRNq-f3T_LXAaSuv9g_JnV\n", "Downloading 1xgxMLRh_jOLRNq-f3T_LXAaSuv9g_JnV into /home/jovyan/examples/data/testdata.zip... Done.\n", "Unzipping...Done.\n" ] } ], "source": [ "pygis.download_from_gdrive(gfile_url, file_name='testdata.zip', out_dir=work_dir)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "You have successfully downloaded data from Google Drive to Binder. You can now continue to [Using whitebox](#Using-whitebox) and start testing whitebox with your own data. " ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Using whitebox" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Here you can specify where your data are located. In this example, we will use [DEM.tif](https://github.com/giswqs/whitebox/blob/master/examples/testdata/DEM.tif), which has been downloaded to the testdata folder." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "**List data under the data folder.**" ] }, { "cell_type": "code", "execution_count": 16, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "['.ipynb_checkpoints', 'DEM.dep', 'DEM.tif']\n" ] } ], "source": [ "data_dir = os.path.join(root_dir, 'data/testdata/')\n", "print(os.listdir(data_dir))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "In this simple example, we smooth [DEM.tif](https://github.com/giswqs/whitebox/blob/master/examples/testdata/DEM.tif) using a [feature preserving denoising](https://github.com/jblindsay/whitebox-tools/blob/master/src/tools/terrain_analysis/feature_preserving_denoise.rs) algorithm. Then, we fill depressions in the DEM using a [depression breaching](https://github.com/jblindsay/whitebox-tools/blob/master/src/tools/hydro_analysis/breach_depressions.rs) algorithm. Finally, we calculate [flow accumulation](https://github.com/jblindsay/whitebox-tools/blob/master/src/tools/hydro_analysis/dinf_flow_accum.rs) based on the depressionless DEM." ] }, { "cell_type": "code", "execution_count": 17, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Calculating normal vectors: 0.004417452S\n", "Smoothing normal vectors: 0.029072877S\n", "Updating elevations...\n", "Iteration 1 of 5...\n", "Iteration 2 of 5...\n", "Iteration 3 of 5...\n", "Iteration 4 of 5...\n", "Iteration 5 of 5...\n" ] }, { "data": { "text/plain": [ "0" ] }, "execution_count": 17, "metadata": {}, "output_type": "execute_result" } ], "source": [ "import whitebox\n", "wbt = whitebox.WhiteboxTools()\n", "# set whitebox working directory\n", "wbt.set_working_dir(data_dir)\n", "wbt.verbose = False\n", "\n", "# call whiteboxtool\n", "wbt.feature_preserving_denoise(\"DEM.tif\", \"smoothed.tif\", filter=9)\n", "wbt.breach_depressions(\"smoothed.tif\", \"breached.tif\")\n", "wbt.d_inf_flow_accumulation(\"breached.tif\", \"flow_accum.tif\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Displaying results\n", "\n", "This section demonstrates how to display images on Jupyter Notebook. Three Python packages are used here, including [matplotlib](https://matplotlib.org/), [imageio](https://imageio.readthedocs.io/en/stable/installation.html), and [tifffile](https://pypi.org/project/tifffile/). These three packages can be installed using the following command:\n", "\n", "`pip install matplotlib imageio tifffile`\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "**Import the libraries.**" ] }, { "cell_type": "code", "execution_count": 18, "metadata": {}, "outputs": [], "source": [ "# comment out the third line (%matplotlib inline) if you run the tutorial in other IDEs other than Jupyter Notebook\n", "import matplotlib.pyplot as plt\n", "import imageio\n", "%matplotlib inline " ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "**Display one single image.**" ] }, { "cell_type": "code", "execution_count": 19, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "raster = imageio.imread(os.path.join(data_dir, 'DEM.tif'))\n", "plt.imshow(raster)\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "**Read images as numpy arrays.**" ] }, { "cell_type": "code", "execution_count": 20, "metadata": {}, "outputs": [], "source": [ "original = imageio.imread(os.path.join(data_dir, 'DEM.tif'))\n", "smoothed = imageio.imread(os.path.join(data_dir, 'smoothed.tif'))\n", "breached = imageio.imread(os.path.join(data_dir, 'breached.tif'))\n", "flow_accum = imageio.imread(os.path.join(data_dir, 'flow_accum.tif'))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "**Display multiple images in one plot.**" ] }, { "cell_type": "code", "execution_count": 21, "metadata": {}, "outputs": [ { "data": { "image/png": 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "fig=plt.figure(figsize=(16,11))\n", "\n", "ax1 = fig.add_subplot(2, 2, 1)\n", "ax1.set_title('Original DEM')\n", "plt.imshow(original)\n", "\n", "ax2 = fig.add_subplot(2, 2, 2)\n", "ax2.set_title('Smoothed DEM')\n", "plt.imshow(smoothed)\n", "\n", "ax3 = fig.add_subplot(2, 2, 3)\n", "ax3.set_title('Breached DEM')\n", "plt.imshow(breached)\n", "\n", "ax4 = fig.add_subplot(2, 2, 4)\n", "ax4.set_title('Flow Accumulation')\n", "plt.imshow(flow_accum)\n", "\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## whitebox GUI\n", "\n", "WhiteboxTools also provides a Graphical User Interface (GUI) - **WhiteboxTools Runner**, which can be invoked using the following Python script. *__Note that the GUI might not work in Jupyter notebooks deployed on the cloud (e.g., MyBinder.org), but it should work on Jupyter notebooks on local computers.__*\n", "\n", "```python\n", "import whitebox\n", "whitebox.Runner()\n", "\n", "```\n", "\n", "![](https://wetlands.io/file/images/whitebox.png)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Citing whitebox\n", "\n", "If you use the **whitebox** Python package for your research and publications, please consider citing the following papers to give Prof. [John Lindsay](http://www.uoguelph.ca/~hydrogeo/index.html) credits for his tremendous efforts in developing [Whitebox GAT](https://github.com/jblindsay/whitebox-geospatial-analysis-tools) and [WhiteboxTools](https://github.com/jblindsay/whitebox-tools). Without his work, this **whitebox** Python package would not exist! \n", "\n", "* Lindsay, J. B. (2016). Whitebox GAT: A case study in geomorphometric analysis. Computers & Geosciences, 95, 75-84. http://dx.doi.org/10.1016/j.cageo.2016.07.003" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Credits\n", "\n", "This interactive notebook is made possible by [MyBinder.org](https://mybinder.org/). Big thanks to [MyBinder.org](https://mybinder.org/) for developing the amazing binder platform, which is extremely valuable for reproducible research!\n", "\n", "This tutorial made use a number of open-source Python packages, including [ Cookiecutter](https://github.com/audreyr/cookiecutter), [numpy](http://www.numpy.org/), [matplotlib](https://matplotlib.org/), [imageio](https://imageio.readthedocs.io/en/stable/installation.html), [tifffile](https://pypi.org/project/tifffile/), and [google-drive-downloader](https://github.com/ndrplz/google-drive-downloader). Thanks to all developers of these wonderful Python packages!\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Contact\n", "\n", "If you have any questions regarding this tutorial or the **whitebox** Python package, you can contact me (Dr. Qiusheng Wu) at wqs@binghamton.edu or https://wetlands.io/#contact" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.6.6" } }, "nbformat": 4, "nbformat_minor": 2 }