Skip to main content
ARS Home » Northeast Area » Beltsville, Maryland (BARC) » Beltsville Agricultural Research Center » Hydrology and Remote Sensing Laboratory » Research » Publications at this Location » Publication #323268

Research Project: Leveraging Remote Sensing, Land Surface Modeling and Ground-based Observations ... Variables within Heterogeneous Agricultural Landscapes

Location: Hydrology and Remote Sensing Laboratory

Title: GCOM-W soil moisture and temperature algorithms and validation

Author
item Jackson, Thomas
item BINDLISH, R. - Science Systems, Inc
item HOLMES, T. - Science Systems, Inc
item Cosh, Michael
item CHEN, F. - Science Systems, Inc
item Crow, Wade

Submitted to: Meeting Abstract
Publication Type: Abstract Only
Publication Acceptance Date: 10/29/2015
Publication Date: 1/18/2016
Citation: Jackson, T.J., Bindlish, R., Holmes, T., Cosh, M.H., Chen, F., Crow, W.T. 2016. GCOM-W Soil Moisture and Temperature Algorithms and Validation. Global Climate Observing Mission Principal Investigators Workshop. January 18-22, 2016, Tokyo, Japan. 2016 CDROM

Interpretive Summary:

Technical Abstract: Passive microwave remote sensing of soil moisture has matured over the past decade as a result of the Advanced Microwave Scanning Radiometer (AMSR) program of JAXA. This program has resulted in improved algorithms that have been supported by rigorous validation. Access to the products and the validation of their accuracy has been fundamental to their acceptance and usage, which in turn has resulted in contributions to science and applications. There is a need to continue algorithm development and validation throughout the project and to revisit some of the basic approaches in research algorithms that might lead to improvements as we learn more about the radiative transfer process. Our project contributes to these objectives by providing an alternative soil moisture research algorithm and in situ soil moisture validation data from sites in the U.S. that complement those supported by JAXA. Recent improvements and validation of the Single Channel Algorithm are described. Progress on a new soil temperature algorithm will also be presented.