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.
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
- Publish an ML Training Dataset on Radiant MLHub
- Data Catalog: https://planetarycomputer.microsoft.com/catalog
- Documentation: https://planetarycomputer.microsoft.com/docs/overview/about