Core capabilities

How each engagement is built

Three coordinated capabilities turn raw imagery into decision-ready information, with each output calibrated against observed land conditions.

Satellite data acquisition

Multispectral satellite processing organizes imagery for consistent time-series analysis across agricultural and land sites.

Automated land-cover classification

Machine learning models classify land cover and support predictive spatial modeling for terrain and vegetation questions.

On-site calibration protocols

Field verification teams check outputs against real soil, vegetation, and land conditions before results are reported.

Each engagement delivers tailored reports, geospatial layers, and decision-ready dashboards matched to the question at hand.

Applied methods

Specialized analysis for land and climate risk

Crop yield monitoring

Time-series satellite observations track crop development across the season, with field checks confirming what the signal represents on the ground.

Soil moisture tracking

Spatial modeling of moisture conditions supports irrigation and land management questions, calibrated against soil sampling in the field.

Flood and drought risk assessment

Terrain modeling and land-cover change analysis help assess exposure to flood and drought risk, with verified site conditions informing each conclusion.