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Title:   Author  item
                                            KURUM, M - GEORGE WASHINGTON UNIVitem
                                            LANG, R - GEORGE WASHINGTON UNIVitem
                                            O'NEILL, P - NASA GSFCitem
                                            JOSEPH, A - NASA GSFCitem
                                            Jackson, Thomasitem
                                            Cosh, Michael
  Submitted to: Microwave Radiometry and Remote Sensing of the Earths Surface & Atmosphere
                                    Publication Type: Abstract Only
                                    Publication Acceptance Date: 6/20/2008
                                    Publication  Date: 3/11/2008
                                    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.Interpretive Summary:
                                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.


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