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United States Department of Agriculture

Agricultural Research Service

Research Project: USING REMOTE SENSING & MODELING FOR EVALUATING HYDROLOGIC FLUXES, STATES, & CONSTITUENT TRANSPORT PROCESSES WITHIN AGRICULTURAL LANDSCAPES Title: Evaluation of the SMAP radiometer lever 2 pre-launch soil moisture algorithms using SMOS data

Authors
item Bindlish, R -
item Jackson, Thomas
item Zhao, T -
item Cosh, Michael
item Chan, S -
item O'Neill, P -
item Njoku, E -
item Colliander, A -
item Kerr, Y -

Submitted to: Meeting Abstract
Publication Type: Abstract Only
Publication Acceptance Date: March 23, 2012
Publication Date: July 22, 2012
Citation: Bindlish, R., Jackson, T.J., Zhao, T., Cosh, M.H., Chan, S., O'Neill, P.E., Njoku, E., Colliander, A., Kerr, Y. 2012. Evaluation of the SMAP radiometer lever 2 pre-launch soil moisture algorithms using SMOS data [abstract]. Meeting Abstract. 2012 CDROM.

Technical Abstract: The objectives of the upcoming SMAP (Soil Moisture Active Passive) satellite mission include global measurements of soil moisture at 40 km, 10 km and 3 km resolutions with a 3-day revisit time at an accuracy of 0.04 m3/m3. The 40 km resolution soil moisture product is based primarily on the passive microwave observations. In this paper we contribute to the development of the radiometer soil moisture product by exploiting the availability of the currently operating Soil Moisture Ocean Salinity (SMOS) satellite observations and products. SMOS observations provide us with the opportunity to develop a testbed for the evaluation of different SMAP radiometer-based soil moisture retrieval algorithm options. The use of real-world global observations will help in the development and selection of different land surface parameters and ancillary observations needed for the soil moisture algorithms. Output of the potential radiometer-only SMAP algorithms will be compared to both in situ measurements and SMOS soil moisture products. These studies will contribute to both the selection and refinement of the SMAP radiometer level 2 pre-launch algorithms for soil moisture. USDA is an equal opportunity employer.

Last Modified: 12/21/2014
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