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 dataset examples, quickstarts and tutorials.
These quickstarts give high-level introductions to a single topic.
- Reading from the STAC API
- Reading Zarr Data
- Reading Tabular 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
- Aster L1T
- Daymet
- GAP
- HGB
- HREA
- IO LULC
- JRC Ground Surface Water
- Landsat 8 Colleciton 2 Level-2
- MoBI
- MTBS
- NAIP
- NASADEM
- Sentinel-2 Level-2A
- TerraClimate
These tutorials introduce a large topic and cover it in detail.
- Cloudless Mosaics
- Landcover Classification
- Reprojecting
- Coregistration
- Hotspot analysis
- Surface analysis
- Zonal statistics
- Classification methods
- Local tools
- Label-Maker
- LandCoverNet Dataset on Radiant MLHub
- Customizable Radiometric Terrain Corrections
- Data Catalog: https://planetarycomputer.microsoft.com/catalog
- Documentation: https://planetarycomputer.microsoft.com/docs/overview/about
- Discussions: https://github.com/Microsoft/PlanetaryComputer/discussions