Using sentinel-2 data to quantify the impacts of drought on crop yields at local and regional scales in Sweden
A causal inference framework was developed to investigate crop responses to agricultural drought by integrating meteorological data, Sentinel-2-derived data, and soil property maps. To account for crop rotation, soil, and topographical variables, propensity score matching was employed to estimate drought-induced yield losses at the field level for selected periods. The Plant Phenology Index (PPI)
