Sentinel Hub is a cloud-based satellite imagery access and processing platform that provides programmatic access to Copernicus Sentinel, Landsat, MODIS, and commercial satellite data collections throu
Use with AI
Install the MCP server or CLI to instantly fetch Sentinel Hub documentation:
Install command
claude mcp add biocontext7 -- npx @biocontext7/mcpOr share this page: biocontext7.com/tools/sentinel-hub
OceanParcels (Parcels) is a Python framework for Lagrangian ocean analysis: it tracks virtual particles through 2D/3D hydrodynamic velocity fields from ocean models or observational products. Use this
2 shared topics • 1 shared operation
icclim (Index Calculation for CLIMate) is a Python library for computing standard climate indices from gridded netCDF/xarray climate datasets. It implements the ECA&D and ETCCDI index catalogues and i
1 shared topic • 1 shared operation
nc-time-axis provides cftime-aware axis support for matplotlib, enabling the plotting of time series that use non-standard calendars (360_day, noleap, all_leap, julian, etc.) common in climate, weathe
1 shared topic • 1 shared operation
Open Data Cube (ODC) is an open-source geospatial data management and analysis framework that indexes Earth observation satellite imagery and gridded datasets into a PostgreSQL catalogue and exposes t
1 shared topic • 1 shared operation
xclim is an xarray-based climate analytics library for computing climate indicators and indices, running data quality checks, managing ensembles, and batch-processing netCDF datasets from the command
1 shared topic • 1 shared operation