HR: 1340h
AN: H33E-1417    [Abstracts]
TI: Scaling Properties of PSR Based Soil Moisture Fields During SMEX02: A Wavelet Approach
AU: * Das, N N
EM: nndas@tamu.edu
AF: Texas A&M University, 2117 TAMU, Bio. & Ag. Eng., College Station, TX 77843-2117 United States
AU: Mohanty, B P
EM: bmohanty@tamu.edu
AF: Texas A&M University, 2117 TAMU, Bio. & Ag. Eng., College Station, TX 77843-2117 United States
AB: In this study, we examined the scaling properties of the Polarimetric Scanning Radiometer (PSR)-based remotely sensed soil moisture fields during SMEX02 hydrology campaign using wavelet-based multiresolution analysis. The multiresolution technique decomposed the soil moisture into large-scale average soil moisture fields and fluctuations in horizontal, diagonal and vertical directions at various resolutions. Results suggested linearity in the log-log dependency of the variance of soil moisture up to a resolution of 6100 m2 on PSR sampling dates during SMEX02. The wet fields (with high soil moisture) show almost similar variance for all the resolutions signifying the strong spatial correlation. Analysis of the dry fields (with low soil moisture) indicated a log-log linearity of moments with various scales, and a concave functional relationship with the order of moments, typically representing a multiscaling process. The detail components in the horizontal and the vertical directions for dry and wet fields exhibited similar simple scaling properties, whereas the diagonal component shows difference in simple scaling properties for wet and dry fields. Another important finding of this study is the increase of subpixel soil moisture variability with increasing resolution, especially for the wet fields.
DE: 1839 Hydrologic scaling
DE: 1843 Land/atmosphere interactions (1218, 1631, 3322)
DE: 1855 Remote sensing (1640)
DE: 1866 Soil moisture
SC: Hydrology [H]
MN: Fall Meeting 2005