Welcome to the Planetary Computer Hub, 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, including our quickstarts, dataset examples, and tutorials.
These quickstarts give high-level introductions to a single topic.
- Reading from the STAC API
- Reading from the STAC API with R
- Reading Tabular Data
- Reading Zarr Data
- Scale with Dask
- Storage
- Using Leafmap
- Using the Radiant MLHub API
- Using the Radiant MLHub Models API
These examples introduce specific datasets. They give some details about the datasets and example code for working with them.
- 3DEP Seamless
- 3DEP LIDAR COPC
- ALOS DEM
- ALOS PALSAR
- Aster L1T
- Chesapeake Land Use
- Chloris Biomass
- Climate Impact Lab GDPCIR
- Copernicus DEM
- Daymet
- DRCOG LULC
- ECMWF Open Data
- ERA5
- ESA WorldCover
- FIA
- GAP
- GBIF
- gNATSGO
- GOES
- GPM IMERG HHR
- gridMET
- HGB
- HREA
- IO LULC
- JRC Ground Surface Water
- Landsat Collection 2 Level-1 and 2
- MoBI
- MODIS
- MTBS
- NAIP
- NASA NEX-GDDP-CMIP6
- NASADEM
- NOAA C-CAP
- NRCAN Landcover
- Planet NICFI
- Sentinel-2 Level-2A
- TerraClimate
- US Census
These tutorials introduce a large topic and cover it in detail.
- Classification Methods
- Cloudless Mosaics
- Coregistration
- Customizable Radiometric Terrain Corrections
- Hotspot Analysis
- Hurricane Florence Animation
- Label-Maker
- Landcover Classification
- LandcoverNet Dataset on Radiant MLHub
- Local Tools
- Surface Analysis
- Reprojecting
- US Census
- Zonal Statistics
- Radiometric Terrain Correction Qualitative Assessment
- Data Catalog: https://planetarycomputer.microsoft.com/catalog
- Documentation: https://planetarycomputer.microsoft.com/docs/overview/about
- Discussions: https://github.com/Microsoft/PlanetaryComputer/discussions