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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: Assessing pre-launch application feasibility using the SMAP science data system algorithm and application simulation testbed

Authors
item Crow, Wade
item Njoku, E -
item Dunbar, R -
item Chen, S -

Submitted to: Meeting Abstract
Publication Type: Abstract Only
Publication Acceptance Date: June 15, 2012
Publication Date: July 22, 2012
Citation: Crow, W.T., Njoku, E., Dunbar, R.S., Chen, S.K. 2012. Assessing pre-launch application feasibility using the SMAP science data system algorithm and application simulation testbed[abstract]. 2013 International Geoscience and Remote Sensing Symposium. 2011 CDROM.

Technical Abstract: Slated for launch in 2014, the NASA Soil Moisture Active/Passive mission represents a significant advance in our ability to globally observe time and space variations in surface soil moisture fields. The SMAP mission concept is based on the integrated use of L-band active radar and passive radiometry measurements to optimize both the accuracy and resolution of remotely-sensed surface soil moisture estimates. In order to facilitate the pre-launch development of science algorithms, the SMAP mission has established a SMAP Science Data System (SDS) Testbed. This presentation will discuss the SDS Testbed and describe its potential use as the basis for SMAP application development studies. Particular emphasis will be placed on illustrating the application of novel evaluation metrics to quantify the utility of SMAP soil moisture products for key applications.

Last Modified: 10/1/2014
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