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https://github.com/microsoft/PlanetaryComputerExamples

Examples of using the Planetary Computer
https://github.com/microsoft/PlanetaryComputerExamples

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Examples of using the Planetary Computer

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README 

        
Planetary Computer



# Planetary Computer Hub



Welcome to the [Planetary Computer Hub](http://planetarycomputer.microsoft.com/compute), a development environment that makes our data and APIs accessible through familiar, open-source tools, and allows users to easily scale their analyses.



If you're viewing this repository from GitHub, you might want to browse the rendered examples on [nbviewer](https://nbviewer.org/github/Microsoft/PlanetaryComputerExamples/tree/main/), including our [quickstarts](https://nbviewer.org/github/microsoft/PlanetaryComputerExamples/tree/main/quickstarts/), [dataset examples](https://nbviewer.org/github/microsoft/PlanetaryComputerExamples/tree/main/datasets/), and [tutorials](https://nbviewer.org/github/microsoft/PlanetaryComputerExamples/tree/main/tutorials/).



## Quickstarts



These quickstarts give high-level introductions to a single topic.



* [Reading from the STAC API](quickstarts/reading-stac.ipynb)

* [Reading from the STAC API with R](quickstarts/reading-stac-r.ipynb)

* [Reading Tabular Data](quickstarts/reading-tabular-data.ipynb)

* [Reading Zarr Data](quickstarts/reading-zarr-data.ipynb)

* [Scale with Dask](quickstarts/scale-with-dask.ipynb)

* [Storage](quickstarts/storage.ipynb)

* [Using Leafmap](quickstarts/leafmap-example.ipynb)

* [Using the Radiant MLHub API](quickstarts/using-radiant-mlhub-api.ipynb)

* [Using the Radiant MLHub Models API](quickstarts/using-radiant-mlhub-models-api.ipynb)



## Datasets



These examples introduce specific datasets. They give some details about the datasets and example code for working with them.



* [3DEP Seamless](datasets/3dep/3dep-seamless-example.ipynb)

* [3DEP LIDAR COPC](datasets/3dep-lidar/3dep-lidar-cog-example.ipynb)

* [ALOS DEM](datasets/alos-dem/alos-dem-example.ipynb)

* [ALOS PALSAR](datasets/alos-palsar/alos-palsar-example.ipynb)

* [Aster L1T](datasets/aster-l1t/aster-l1t-example.ipynb)

* [Chesapeake Land Use](datasets/chesapeake/chesapeake-example.ipynb)

* [Chloris Biomass](datasets/chloris-biomass/chloris-biomass-example.ipynb)

* [Climate Impact Lab GDPCIR](datasets/cil-gdpcir/cil-gdpcir-example.ipynb)

* [Copernicus DEM](datasets/copernicus-dem/copernicus-dem-example.ipynb)

* [Daymet](datasets/daymet/daymet-example.ipynb)

* [DRCOG LULC](datasets/drcog-lulc/drcog-lulc-example.ipynb)

* [ECMWF Open Data](datasets/ecmwf-forecast/ecmwf-forecast-example.ipynb)

* [ERA5](datasets/era5/era5-example.ipynb)

* [ESA WorldCover](datasets/esa-worldcover/esa-worldcover-example.ipynb)

* [FIA](datasets/fia/fia-example.ipynb)

* [GAP](datasets/gap/gap-example.ipynb)

* [GBIF](datasets/gbif/gbif-example.ipynb)

* [gNATSGO](datasets/gnatsgo/gnatsgo-example.ipynb)

* [GOES CMI](datasets/goes/goes-cmi-example.ipynb)

* [GOES GLM](datasets/goes/goes-glm-example.ipynb)

* [GPM IMERG HHR](datasets/gpm-imerg-hhr/gpm-imerg-hhr-example.ipynb)

* [gridMET](datasets/gridmet/gridmet-example.ipynb)

* [HGB](datasets/hgb/hgb-example.ipynb)

* [HREA](datasets/hrea/hrea-example.ipynb)

* [IO LULC](datasets/io-lulc/io-lulc-example.ipynb)

* [IO LULC V2](datasets/io-lulc/io-lulc-annual-v02-example.ipynb)

* [JRC Ground Surface Water](datasets/jrc-gsw/jrc-gsw-example.ipynb)

* [Landsat Collection 2 Level-1 and 2](datasets/landsat-c2/landsat-c2-example.ipynb)

* [MoBI](datasets/mobi/mobi-example.ipynb)

* [MODIS](datasets/modis/modis-vegetation-example.ipynb)

* [MTBS](datasets/mtbs/mtbs-example.ipynb)

* [NAIP](datasets/naip/naip-example.ipynb)

* [NASA NEX-GDDP-CMIP6](datasets/nasa-nex-gddp-cmip6/nasa-nex-gddp-cmip6-example.ipynb)

* [NASADEM](datasets/nasadem/nasadem-example.ipynb)

* [NOAA C-CAP](datasets/noaa-c-cap/noaa-c-cap-example.ipynb)

* [NOAA NClimGrid](datasets/noaa-nclimgrid/noaa-nclimgrid-example.ipynb)

* [NRCAN Landcover](datasets/nrcan-landcover/nrcan-landcover-example.ipynb)

* [Planet NICFI](datasets/planet-nicfi/planet-nicfi-example.ipynb)

* [Sentinel-2 Level-2A](datasets/sentinel-2-l2a/sentinel-2-l2a-example.ipynb)

* [TerraClimate](datasets/terraclimate/terraclimate-example.ipynb)

* [US Census](datasets/us-census/us-census-example.ipynb)



## Tutorials



These tutorials introduce a large topic and cover it in detail.



* [Classification Methods](tutorials/xarray-spatial_classification-methods.ipynb)

* [Cloudless Mosaics](tutorials/cloudless-mosaic-sentinel2.ipynb)

* [Coregistration](tutorials/coregistration.ipynb)

* [Customizable Radiometric Terrain Corrections](tutorials/customizable-rtc-sentinel1.ipynb)

* [Hotspot Analysis](tutorials/ndvi_hotspots.ipynb)

* [Hurricane Florence Animation](tutorials/hurricane-florence-animation.ipynb)

* [Landcover Classification](tutorials/landcover.ipynb)

* [LandcoverNet Dataset on Radiant MLHub](tutorials/radiant-mlhub-landcovernet.ipynb)

* [Local Tools](tutorials/local-tools.ipynb)

* [Surface Analysis](tutorials/surface_analysis.ipynb)

* [Reprojecting](tutorials/reprojection.ipynb)

* [US Census](tutorials/census-data.ipynb)

* [Zonal Statistics](tutorials/zonal_statistics.ipynb)

* [Radiometric Terrain Correction Qualitative Assessment](tutorials/rtc-qualitative-assessment.ipynb)



## Learn More



* Data Catalog: https://planetarycomputer.microsoft.com/catalog

* Documentation: https://planetarycomputer.microsoft.com/docs/overview/about

* Discussions: https://github.com/Microsoft/PlanetaryComputer/discussions