DocumentCode
513134
Title
Microwave soil moisture retrieval under trees using a modified tau-omega model
Author
Neill, Peggy O. ; Lang, Roger ; Kurum, Mehmet ; Joseph, Alicia ; Cosh, Michael ; Jackson, Thomas
Author_Institution
Hydrol. Sci. Branch/Code 614.3, NASA Goddard Space Flight Center, Greenbelt, MD, USA
Volume
3
fYear
2009
fDate
12-17 July 2009
Abstract
During 2007-2009 field experiments have been conducted using the ComRAD microwave truck instrument system with a goal of optimizing microwave soil moisture retrieval algorithms for small to medium deciduous and coniferous trees. A joint effort of NASA / GSFC and George Washington University, ComRAD consists of a quad-polarized 1.25 GHz radar and a dual-polarized 1.4 GHz radiometer sharing the same antenna. In the current study, ComRAD microwave data and ground truth measurements of soil moisture, temperature, soil texture, and vegetation water content and geometry statistics have been used to assess whether the zero-order tau-omega model can be employed successfully to retrieve soil moisture under tree canopies using effective values for tau (the vegetation opacity) and omega (the single scattering albedo). In addition, the tau-omega model has been modified to include a first-order scattering term, which will be discussed in a companion paper.
Keywords
forestry; hydrological techniques; radiometry; remote sensing by radar; vegetation mapping; AD 2007 to 2009; ComRAD microwave truck instrument system; coniferous trees; deciduous trees; first-order scattering term; geometry statistics; ground truth measurements; microwave radiometry; microwave soil moisture retrieval; modified tau-omega model; single scattering albedo; soil texture; tree canopies; vegetation opacity; vegetation water content; Antenna measurements; Current measurement; Instruments; Microwave measurements; Microwave radiometry; NASA; Radar antennas; Radar scattering; Soil moisture; Vegetation; microwave radiometry; retrieval algorithms; soil moisture; tau-omega model; trees;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium,2009 IEEE International,IGARSS 2009
Conference_Location
Cape Town
Print_ISBN
978-1-4244-3394-0
Electronic_ISBN
978-1-4244-3395-7
Type
conf
DOI
10.1109/IGARSS.2009.5417757
Filename
5417757
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