Rajat Bindlish

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Thomas J. Jackson89
Eni G. Njoku38
Yann H. Kerr36
Michael H. Cosh31
Philippe Waldteufel22
67Thomas J. Jackson
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24Wolfgang Wagner
22Yann H. Kerr
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Validation of Advanced Microwave Scanning Radiometer Soil Moisture Products
—Validation is an important and particularly challenging task for remote sensing of soil moisture. A key issue in the validation of soil moisture products is the disparity in spatial scales between satellite and in situ observations. Conventional measurements of soil moisture are made at a point, whereas satellite sensors provide an integrated area/volume… (More)
WindSat Global Soil Moisture Retrieval and Validation
—A physically based six-channel land algorithm is developed to simultaneously retrieve global soil moisture (SM), vegetation water content (VWC), and land surface temperature. 3 /m 3 , bias of 0.004 m 3 /m 3 , and correlation coefficient of 0.89). The retrieved SM and VWC distributions are very consistent with global climatology and mesoscale precipitation… (More)
Validation of Soil Moisture and Ocean Salinity (SMOS) Soil Moisture Over Watershed Networks in the U.S
Estimation of soil moisture at large scale has been performed using several satellite-based passive microwave sensors and a variety of retrieval methods over the past two decades. The most recent source of soil moisture is the European Space Agency Soil Moisture and Ocean Salinity (SMOS) mission. A thorough validation must be conducted to insure product… (More)
Combined Passive and Active Microwave Observations of Soil Moisture During CLASIC
—An important research direction in advancing higher spatial resolution and better accuracy in soil moisture remote sensing is the integration of active and passive microwave observations. In an effort to address this objective, an airborne instrument, the passive/active L-band sensor (PALS), was flown over two watersheds as part of the cloud and land… (More)
The added value of spaceborne passive microwave soil moisture retrievals for forecasting rainfall-runoff partitioning
[1] Using existing data sets of spaceborne soil moisture retrievals, streamflow and precipitation for 26 basins in the United States Southern Great Plains, a 5-year analysis is performed to quantify the value of soil moisture retrievals derived from the Tropical Rainfall Measuring Mission (TRMM) Microwave Imager (TMI) X-band (10.7 GHz) radiometer for… (More)
Radar Vegetation Index for Estimating the Vegetation Water Content of Rice and Soybean
−2 using L-band RVI observations. These results demonstrate that valuable new information can be extracted from current and future radar satellite systems on the vegetation condition of two globally important crop types. The results are directly applicable to systems such as the proposed NASA Soil Moisture Active Passive satellite.