COG Imagery Service – Soil Carbon in Andalusia (Spain)

The Soil Carbon COG Imagery Service in Andalusia provides open and efficient access to high-resolution raster maps of soil organic carbon (SOC), generated through digital soil mapping techniques. Based on field sampling across 684 agricultural sites and the integration of environmental variables (climate, vegetation indices, terrain, land use), machine learning models were used to produce predictive maps for two depth intervals (0–30 cm and 30–60 cm). These maps are published in Cloud Optimized GeoTIFF (COG) format and served via an HTTP-compliant web server integrated into a Kubernetes-based GIS infrastructure. The service is cataloged in REDIAM and enables direct visualization and download of geospatial data for environmental monitoring, research, and decision-making.