AI GIS & Satellite Analysis Tools
Machine learning meets mapping. Classify land cover from satellite imagery, model rainfall, generate terrain data — free and accessible to everyone.
AI Mapping Tools
AI Land Cover Classification
Auto-map land use from Sentinel-2 satellite imagery using deep learning. Detects forest, water, built-up areas at 10m resolution.
Open tool →AI Rainfall Data
Access 40+ years of historical precipitation data for any location worldwide using ERA5 climate models.
Open tool →Contour Generator
Generate topographic contour lines at custom intervals from elevation data. Export as KML or DXF.
Open tool →AI Soil Type Identifier
Identify soil texture, pH, and organic carbon content for any location using OpenLandMap AI models.
Open tool →Raster Classifier
Perform unsupervised K-Means clustering on satellite imagery to segment land cover classes automatically.
Open tool →Frequently Asked Questions
What is AI GIS?›
AI GIS (Artificial Intelligence Geographic Information Systems) applies machine learning and deep learning models to satellite imagery, elevation data, and geographic datasets. Tasks include automated land cover mapping, change detection, object recognition in aerial photos, and climate data analysis.
How accurate is AI land cover classification?›
Our AI land cover tool uses models based on ESA WorldCover training data and typically achieves 85-90% accuracy across global landscapes. Accuracy is highest in areas with clear spectral signatures (open water, dense forest) and lower in transitional zones (shrubland, sparse crops).
Do I need a GPU or special hardware?›
No. These tools use server-side AI inference and browser-based WebGL processing. They work on any device with a modern browser — no GPU or special software needed.
Is my data uploaded to your servers?›
AI tools that query satellite data (land cover, rainfall, soil) send your area of interest coordinates to external APIs (ESA, Open-Meteo, OpenLandMap). No personal data or local files are stored.