HR: 1340h
AN: H33E-0510    [Abstracts]
TI: Root Zone Soil Moisture Assessment Using Passive Microwave Remote Sensing and Distributed Hydrologic Modeling
AU: * Das, N N
EM: nndas@tamu.edu
AF: Texas A&M University, 2117, TAMU, College Station, TX 77843 United States
AU: Mohanty, B
EM: bmohanty@tamu.edu
AF: Texas A&M University, 2117, TAMU, College Station, TX 77843 United States
AB: Soil moisture is a fundamental state variable and it varies spatially due to topography, soil, precipitation variability and landuse-landcover, and temporally, due to difference in hydrologic characteristics and controls. Estimation of profile soil moisture using remotely sensed land surface moisture data with the combination of forward soil hydrologic modeling is very promising. This integrated method may become resourceful solution to the problem for profile soil moisture estimation and its transient behavior. In a preliminary attempt to understand soil moisture land surface dynamics, an effort is being made to assess soil moisture on the watershed scale. A method has been implemented to combine hydrologic model and passive microwave land surface soil moisture observation to predict root zone soil moisture. The prime focus of this work is to combine HYDRUS-1D model with Soil Survey Geographic (SSURGO) Database (30 x 30 meters), NEXRAD based precipitation, LANDSAT7 landcover classification and ESTAR derived surface soil moisture in a GIS platform. We applied and tested this integrated approach in the Little Washita watershed during SGP97 using ground and remotely sensed data set for a month period. The integrated model facilitates to identify the critical parameters that control the spatio-temporal variability of the soil moisture fields and a good assessment of soil moisture in the root zone.
DE: 6969 Remote sensing
DE: 1866 Soil moisture
SC: Hydrology [H]
MN: 2004 AGU Fall Meeting