PROJECT TITLE :
Validation Strategies for Satellite-Based Soil Moisture Products Over Argentine Pampas
In this paper, an evaluation strategy for 2-candidate satellite-derived SM products is presented. In specific, we analyze the performance of two candidate algorithms [soil moisture ocean salinity (SMOS)-primarily based soil moisture (SM) and advanced scatterometer (ASCAT)-based mostly SM] to monitor SM in Pampas Plain. The difficulties associated with commonly used analysis techniques are addressed, and techniques that don't require ground-primarily based observations are presented. In explicit, we have a tendency to introduce comparisons with a land-surface model (GLDAS) and SM anomalies and triple collocation analyses. Then, we tend to discuss the relevance of these analyses in the context of finish-users requirements, and propose an extreme events-detection analysis primarily based on anomalies of the standardized precipitation index (SPI) and satellite-based SM anomalies. The results show that: 1) each ASCAT and SMOS spatial anomalies knowledge are ready to breed the expected SM spatial patterns of the area; two) both ASCAT and SMOS temporal anomalies can follow the measured in situ SM temporal anomalies; and 3) both product were in a position to watch large SPI extremes at specific vegetation conditions.
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