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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: Estimation of canopy attenuation for active/passive microwave soil moisture retrieval algorithms

Authors
item Kurum, M - GEORGE WASHINGTON UNIV
item Lang, R - GEORGE WASHINGTON UNIV
item O'Neill, P - NASA GSFC
item Joseph, A - NASA GSFC
item Jackson, Thomas
item Cosh, Michael

Submitted to: Microwave Radiometry and Remote Sensing of the Earths Surface & Atmosphere
Publication Type: Abstract Only
Publication Acceptance Date: June 20, 2008
Publication Date: March 11, 2008
Citation: Kurum, M., Lang, R., O'Neill, P., Joseph, A., Jackson, T.J., Cosh, M.H. 2008. Estimation of canopy attenuation for active/passive microwave soil moisture retrieval algorithms [abstract]. Microwave Radiometry and Remote Sensing of the Earth's Surface and Atmosphere. 2008 CDROM.

Technical Abstract: This paper discusses the importance of the proper characterization of scattering and attenuation in trees needed for accurate retrieval of soil moisture in the presence of trees. Emphasis is placed on determining an accurate estimation of the propagation properties of a vegetation canopy using the complex frequency correlation function (FCF). A new technique for determining the canopy attenuation that uses the measured stepped frequency radar backscatter response is proposed. It makes use of the details found in a transient solution where the canopy (volume scattering) and the tree-ground (double interaction) effects appear at different times. The proposed technique is based on separating the backscattering sources within a forest canopy in the time response. The technique has been used with L band data collected over deciduous trees to verify that the algorithm results match the simulated data.

Last Modified: 12/18/2014
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