All projects use satellite remote-sensing data, especially Sentinel-2, to analyze land use, agriculture, or risk through AI/ML geospatial pipelines.
A comprehensive geospatial AI platform for parcel-level land analysis in Armenia, combining a tool-using LLM assistan...
A Python project for land cover classification in Armenia, Quindío, Colombia using Sentinel-2 satellite imagery and t...
A product overview for a geospatial AI tool that screens agricultural loan risk by analyzing satellite imagery (Senti...