soilgrids

Universal multi-modal Earth Observation & environmental data engine. Unified Python & Node.js/TS SDK + CLI for Optical, SAR, Hyperspectral (EnMAP, EMIT, PRISMA), Weather & 3D Soil data.

Collection of useful functions and wrappers designed to download and pre-process datasets for ecohydrological analysis or simulation frameworks

Biodiversity and Geoscience Spatial Registry

Sensor-free mango orchard digital twin using weather, soil, Sentinel-2, FAO-56 water balance, and forecast-aware irrigation advisory.

JalDrishti (जलदृष्टि) is a climate-smart precision irrigation platform for Indian agriculture, combining FAO-56 ET modeling, SoilGrids, Open-Meteo, and multilingual AI to optimize irrigation, reduce water and energy waste, protect crops, and maximize farmer ROI.

Zero-hardware precision agriculture platform combining satellite remote sensing (NASA POWER), autonomous digital soil mapping (ISRIC SoilGrids v2.0), and Explainable AI (SHAP) for continuous crop yield estimation and decision support.

Local AI crop advisor — photo + weather + soil → diagnosis and action plan. Offline-first, extensible to any crop parameter.

Escogencia puntos para muestrear suelos, con base a la textura obtenida de fuentes satelitales.

earthkit-data source plugin for ISRIC SoilGrids (global 250 m soil maps) via WCS

Download spatial data from public GUGiK (PL), ČÚZK (CZ), Copernicus and ISRIC services: DEM/DSM, orthophotos, LAZ point clouds, BDOT10k, CORINE, SoilGrids and hydrologic soil groups (HSG). Python CLI and library with area cutouts, reprojection and a provenance sidecar for every file.

ISRIC SoilGrids MCP.