Spatiotemporal variation of soil moisture in the Three River Headwaters region based on SMOS data
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Abstract:
In this paper, the Pearson correlation, overlapping averages method, and inverse distance weighting ( IDW ) were used to make a corresponding analysis based on the SM data from SMOS ( Soil Moisture and Ocean Salinity ) satellite and in-situ GNSS-MET ( Global Navigation Satellite System-Meteorology) . We evaluated the applicability of SMOS SM data and analyzed the variety of SM and its influencing factors. The results showed that: ( 1) the general dynamic trend of soil water movement in the study area ( April to October) could be demonstrated by the SMOS SM data, how ever the SM from SMOS was slightly lower than that from the in-situ measured; ( 2) The SM from SMOS satellite in the ascending orbit were higher than those in the descending orbit. The SM from SMOS during the period from June to August were higher than those in the other months. The seasonal variation in soil water was obvious, and the SM in summer was significantly higher than that in spring; ( 3) T he spatial SM was greatly different in the Three-River Headwater s region. Generally , the soil was relatively wet in the source area of Lantsang River, while it was relatively dry in the source area of the Yangtze River .
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