HR: 13:55h
AN: H33I-02    [Abstracts]
TI: A Study on Soil Moisture Estimation with AMSR-E
AU: * Shi, J
EM: shi@icess.ucsb.edu
AU: Jackson, T
EM: Tom.Jackson@ars.usda.gov
AF: University of California, Santa Barbara, ICESS, University of California, Santa Barbara, Santa Barbara, CA 93106, United States
AU: Jackson, T
EM: Tom.Jackson@ars.usda.gov
AF: USDA/ARS, USDA/ARS Hydrology Lab Bldg 007 - BARC West, BEltsville, MD 20705-2350, United States
AB: The passive microwave satellite measurements are available from AMSR-E on AQUA EOS-PM. They provide the measurements with the large incidence angle of 55° and with the multi-frequency and polarization for monitoring the geophysical properties of the land, ocean surfaces and atmosphere. We will show our current improvements on soil moisture retrieval algorithm, that include two major parts: For ground surface component, we 1) evaluated the AIEM model for its ability in the applications to the current available multi-frequency and high incidence sensor; 2) developed a parameterized surface emission model using the database simulated by the AIEM model for a wide range of surface roughness and soil moisture conditions under the AMSR-E sensor configurations; and 3) developed an inversion model for surface soil moisture and roughness estimation. For vegetation component, we developed a technique that could be used to separate ground surface and vegetation signals in the satellite measurements. The vegetation signals lead to a new capability for monitoring global vegetation properties and provide the very useful information on vegetation correction when estimating soil moisture. We will demonstrate our improvements on soil moisture estimation with AMSR-E observations in detail and discuss the related research issues.
DE: 1655 Water cycles (1836)
DE: 1835 Hydrogeophysics
SC: Hydrology [H]
MN: 2007 Fall Meeting