Model marketplace
Discover our high-performing ML models for geospatial analysis that can be quickly deployed with our tools: GeoAP — a ready-made platform for your AI-powered geo-analytical solutions with our open-source models or SoilMate — an easy-to-use service for quick geospatial analysis with built-in ML models.
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Automated land usage detection
GeneralLand Use/Land Cover map produced by Microsoft annually. The map is a composite of land use/land cover predictions for 9 classes each year from 2017
Blooming index detection
AgricultureWhite trees flowering intensity calculation (e.g., almonds). Useful in pollination helping agronomists control the annual cycle. This model represents the implementation of the article "An enhanced bloom index for quantifying floral phenology using multi-scale remote sensing observations" by Bin Chen, Yufang Jin, and Patrick H. Brown.
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Disease detection
AgricultureGrowth anomalies detection. Performed through NDVI index calculation within the area of interest (AoI) and statistical methods application.
Moisture anomaly detection
AgricultureMoisture index detection. Performed for a given AoI at the desired timeframe, selecting the least cloudy date.
Basic objects detection
GeneralVehicles and basic objects detection. Detects the most visible classes with a resolution of 0.3-0.5 m per pixel.
NDVI index calculation
AgricultureNDVI index calculation. Performed for a given AoI at the desired timeframe, selecting the least cloudy date.