HR: 0800h
AN: H31D-0631    [Abstracts]
TI: Soil Moisture Retrieval During a Corn Growth Cycle Using L\-Band \1.6 GHz\) Radar Observations
AU: * Joseph, A
EM: Alicia.T.Joseph@nasa.gov
AF: NASA/Goddard Space Flight Center, 8800 Greenbelt Road, Greenbelt, MD 20771, United States
AU: van der Velde, R
EM: velde@itc.nl
AF: International Institute for Geo-Information Science and Earth Observation (ITC), Hengelosestraat 99, P.O. Box 6, 7500 AA, Enschede, 7500, Netherlands
AU: O'Neill, P
EM: Peggy.E.ONeill@nasa.gov
AF: NASA/Goddard Space Flight Center, 8800 Greenbelt Road, Greenbelt, MD 20771, United States
AU: Lang, R
EM: lang@gwu.edu
AF: George Washington University, 2121 I Street NW, Washington, DC 20052, United States
AU: Gish, T
EM: tgish@hydrolab.arsusda.gov
AF: USDA-ARS, 10300 Baltimore Avenue, Beltsville, MD 20705, United States
AB: This paper reports on the retrieval of soil moisture from dual-polarized L-band (1.6 GHz) radar observations acquired at view angles of 15, 35 and 55 degrees collected during a field campaign covering a corn growth cycle of 2002. The applied soil moisture retrieval algorithm includes a surface roughness and vegetation correction, and could potentially be implemented as an operational global soil moisture retrieval algorithm. The surface roughness parameterization is obtained through inversion of the Integral Equation Method (IEM) from dual- polarized (HH and VV) radar observations acquired under nearly bare soil conditions. The vegetation correction is based on the relationship found between the ratio of model bare soil scattering contribution and observed backscatter coefficient (ósoil/óobs) and vegetation water content (W). Validation of the retrieval algorithm against ground measurements shows that the top-5cm soil moisture can be estimated with an accuracy of up to 0.033 cm3cm-3.
DE: 1855 Remote sensing (1640)
DE: 1866 Soil moisture
SC: Hydrology [H]
MN: 2007 Fall Meeting