On the Assimilation of Remote Sensing Data for Soil Moisture Predictions Using an Ensemble-Kalman-Filter-Based Assimilation Approach in an Heterogeneous Ecosystem under water-limited conditions
Abstract:<p><em><span lang="EN-US">Data assimilation techniques allow for optimally merging remote sensing observations in ecohydrological models, guiding them for improving land surface flux predictions. Nowadays freely available remote sensing products, like those of Sentinel 1 radar, Landsat 8, and Sentinel 2 sensors, allow for monitoring land surface variables (e.g., radar backscatter for soil moisture and the normalized difference vegetation index, NDVI, … Show more
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