HR: 15:00h
AN: H23D-05 [WITHDRAWN]    [Abstracts]
TI: The utility of MODIS products for downscaling AMSR-E soil moisture estimates
AU: * Kim, J
EM: jykim@seas.ucla.edu
AF: University of California Los Angeles, Civil & Environmental Engineering, 5731F Boelter Hall, Los Angeles, CA 90095,
AU: Hogue, T
EM: thogue@seas.ucla.edu
AF: University of California Los Angeles, Civil & Environmental Engineering, 5731F Boelter Hall, Los Angeles, CA 90095,
AB: Recently, the use of microwave observations has been highlighted as a complementary tool for evaluating land surface properties. Microwave observations are less affected by clouds, water vapor and aerosol and also contain valuable soil moisture information. However, a critical limitation in these observations is the coarse spatial resolution attributed to the complex retrieval process. As a result, the best hope for providing high- resolution microwave-related products is to integrate visible, NIR/Infrared and microwave observations. In this context, we explore a downscaling approach for combining surface temperature and vegetation indices from higher spatial resolution MODIS (1km) and soil moisture from lower spatial resolution AMSR-E (25km) to obtain soil moisture at the MODIS scale (1km). The linkage is based on l integrating high resolution surface temperature and vegetation indices, through the triangle/trapezoid model, to provide an indication of relative variations in surface wetness conditions. These relative variations provide weighting parameters for downscaling of the large footprint (25km) of soil moisture to the MODIS scale (1km). Initial evaluation of the downscaled soil moisture product is undertaken at a series of Soil Moisture EXperiment (SMEX) sites conducted annually from 2002 to 2004 (Iowa, Georgia and Arizona). This concentrated validation yields insight into how well the proposed downscaling method integrates multi-scale data and the usefulness of MODIS observations in compensating for the coarse resolution of microwave observations.
DE: 1818 Evapotranspiration
DE: 1855 Remote sensing (1640)
DE: 1866 Soil moisture
SC: Hydrology [H]
MN: 2009 Joint Assembly