Case study
Combining satellite observations, weather, and field measurements to support supervised irrigation decisions.
By GEOAP Admin
Satellite observations can contribute to irrigation decisions when combined with knowledge of the field. This educational example outlines a supervised decision-support workflow: observations inform a recommendation, and a grower or irrigation manager reviews it before any equipment is operated.
Sentinel-2 observations support vegetation indicators related to leaf area, chlorophyll, and leaf water content. These indicators offer complementary information about crop conditions; they do not, by themselves, specify the water volume that a particular field should receive.
Source: ESA — Sentinel-2 plant health
FAO’s WaPOR provides remotely derived layers including evapotranspiration, precipitation, biomass, and water productivity, with tools for examining time series. Dataset coverage, resolution, and update frequency should be checked before selecting a layer for a local analysis.
In the proposed workflow, a manager would first record field boundaries, crop stage, irrigation method, and recent applications. A review screen would then place satellite indicators beside rainfall records, weather forecasts, and soil observations. An unusual pattern would trigger a field check and a discussion of possible causes, rather than an automatic watering command.
Any recommendation would include the observation date, missing inputs, and the person responsible for approval. After irrigation, the team would record the actual application and inspect the crop response. This creates a practical learning cycle for refining local decisions. Water savings or yield improvements would need to be measured through a defined evaluation; this example makes no claim of achieved performance.
