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ARS Home » Northeast Area » Beltsville, Maryland (BARC) » Beltsville Agricultural Research Center » Hydrology and Remote Sensing Laboratory » Research » Publications at this Location » Publication #304482

Title: Soil moisture active passive (SMAP) satellite status and cal/val activities

Author
item Jackson, Thomas

Submitted to: Meeting Abstract
Publication Type: Abstract Only
Publication Acceptance Date: 6/1/2014
Publication Date: 10/13/2014
Citation: Jackson, T.J. 2014. Soil moisture active passive (SMAP) satellite status and cal/val activities. Society of Photo-Optical and Instrumentation Engineers Remote Sensing Symposium. October 13-17 2014. Beijing, China. 2014 CDROM.

Interpretive Summary:

Technical Abstract: The Soil Moisture Active Passive (SMAP) satellite will be launched by the National Aeronautics and Space Administration in November 2014. This satellite is the culmination of basic research and applications development over the past thirty years. During most of this period, research and development of the active and passive approaches to soil moisture were separate; one offering high spatial resolution (active) and the other a more robust and accurate retrieval (passive). The SMAP concept combines these two technologies to provide a suite of products. These include three surface soil moisture products; active-based high resolution (3 km), passive-based low resolution (36 km), and a composite moderate resolution (9 km). In addition, there is a model and data assimilation profile soil moisture. Both the instrument and algorithms are advancing on schedule. The status of the mission will be presented along with a review of recent activities that focuses on calibration and validation of soil moisture. SMAP will incorporate a rigorous calibration and validation program that will support algorithm refinement and provide users with information on the accuracy and reliability of its suite of products. This program relies heavily on in situ observations of soil moisture but also includes model and other satellite product inter-comparisons. There are many challenges to conducting a robust and reliable validation of all the products, especially the higher resolution estimates. Over the past five years SMAP has addressed many of the issues, which will be presented in this paper.