Irrigation
We identify drought stress and seasonal changes in urban vegetation. This enables cities to plan irrigation measures more precisely, use water resources more efficiently and prioritise the most affected areas.
Irrigation
This service uses high-resolution satellite imagery and weather data to identify water-stressed vegetation in parks, streets, forests, and lawns, and to recommend whether irrigation is needed. Our in-house model estimates evapotranspiration using the SEBAL (Surface Energy Balance Algorithm for Land) approach, enhanced with machine learning to improve spatial resolution and accuracy. The service provides maps and timelapses of: (a) water stress on a scale from 0 (fully stressed) to 1 (no stress), (b) evapotranspiration (water use), (c) NDVI (vegetation health and density), and (d) a traffic-light irrigation recommendation map. Results are available in the B4G platform as the “Irrigation Dashboard”, and raster layers can also be downloaded as GeoTIFF files.
Service example
