01
Thermal Infrared
Use spaceborne thermal observations to characterize the thermal footprint of agricultural landscapes.
Energy Flux Core · Pure SEBAL
Energy Flux Core: Satellite Thermal Energy Balance
Our core processing engine is built on the Surface Energy Balance Algorithm for Land (SEBAL), specifically optimized for the arid and semi-arid climates of the Middle East and Africa. By combining spaceborne thermal infrared data with GFS weather-derived Net Radiation (Rn), the engine maps the true Evaporative Fraction (Λ). This energy-balance approach measures actual crop water consumption (ETa) directly from the thermal footprint of the landscape, delivering reliable metrics under high-heat environments.
SEBAL
Surface Energy Balance Algorithm for Land
Capabilities
Built to turn complex data into practical intelligence.
02
Net Radiation
Integrate GFS weather-derived Net Radiation into the energy-balance workflow.
03
Actual ET
Estimate actual crop water consumption through the modeled surface energy balance.