Collection of useful functions and wrappers designed to download and pre-process datasets for ecohydrological analysis or simulation frameworks
-
Updated
May 20, 2024 - R
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.
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.
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.
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.
To associate your repository with the soilgrids topic, visit your repo's landing page and select "manage topics."