Page Banner

United States Department of Agriculture

Agricultural Research Service

Research Project: USING REMOTE SENSING & MODELING FOR EVALUATING HYDROLOGIC FLUXES, STATES, & CONSTITUENT TRANSPORT PROCESSES WITHIN AGRICULTURAL LANDSCAPES Title: Potential Errors in the Application of Thermal-based Energy Balance Models with Coarse Resolution Data

item Kustas, William
item Anderson, Martha
item Li, Fuqin
item Colaizzi, Paul

Submitted to: Proceedings of SPIE
Publication Type: Proceedings
Publication Acceptance Date: September 17, 2007
Publication Date: October 17, 2007
Citation: Kustas, W.P., Agam, N., Anderson, M.C., Li, F., Colaizzi, P.D. 2007. Potential errors in the application of thermal-based energy balance models with coarse resolution data. In: Proceedings of the International Society of Optical Engineering, September 17-20, 2007, Florence, Italy. 6742(674208). http://dx/

Technical Abstract: A thermal sharpening algorithm (TsHARP) providing fine resolution land surface temperature (LST) to the Two-Source-Model (TSM) for mapping evapotranspiration (ET) was applied over two agricultural regions in the U.S. One site is a rainfed corn and soybean production region in central Iowa, while the other is an irrigated agricultural area in the Texas High Plains. Application of TsHARP to coarse (1 km) resolution thermal data over the rainfed agricultural area is found to produce reliable fine/within-field (60 m) resolution ET estimates, while in contrast, the TsHARP algorithm applied to the irrigated area does not perform as well, possibly due to significant sub-pixel moisture variations from irrigation. As a result, there may be little benefit in applying TsHARP for generating TSM-derived 60 m ET maps for the irrigated compared to the rainfed region. Consequently, reliable estimation of fine/within-field ET and crop stress still requires fine native resolution thermal imagery in areas with significant sub-pixel moisture variations.

Last Modified: 11/25/2015
Footer Content Back to Top of Page