Abstract
Measurements of soil water content are of great importance for climatic researches and hydrological applications. Satellite remote sensing techniques have provided convenient access to global soil moisture data at high temporal resolution. The evaluation of remotely sensed soil moisture products from multiple sensors are fundamental for understanding the quality and usefulness of the products and are helpful for the improvements of the retrieval algorithms. In this study, we evaluated four satellite-based soil moisture products against two in situ networks over continental U.S. These products are the Soil Moisture and Ocean Salinity (SMOS), the Advanced Microwave Scanning Radiometer for the Earth observing system (AMSR-E), the Fengyun-3B/Microwave Radiation Imager (FY-3B/MWRI), and the Essential Climate Variable (ECV) soil moisture products. The evaluation results show that the temporal characteristics of ECV and SMOS soil moisture products are consistent with those of in situ measurements. Larger errors and bias exist in AMSR-E and FY-3B/MWRI over the study region. In general, the ECV product performs the best comparing with other products. Therefore, the ECV product is recommended in regional hydrological applications and water resource management over the continental U.S. for its good performance in absolute values and soil moisture anomalies.
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Funding
This study were jointly supported by the GDAS’ Special Project of Science and Technology Development (2017GDASCX-0101, 2018GDASCX-0904), the Guangdong Innovative and Entrepreneurial Research Team Program (2016ZT06D336), the National Natural Science Foundation of China (41401430), the 13th Five-year Informatization Plan of Chinese Academy of Sciences (No.XXH13505-07), State Key Laboratory of Resources and Environmental Information System (O88RA20CYA), and the National Earth System Science Data Sharing Infrastructure (http://www.geodata.cn/).
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Jing, W., Song, J. & Zhao, X. Evaluation of Multiple Satellite-Based Soil Moisture Products over Continental U.S. Based on In Situ Measurements. Water Resour Manage 32, 3233–3246 (2018). https://doi.org/10.1007/s11269-018-1989-2
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DOI: https://doi.org/10.1007/s11269-018-1989-2