Potential errors in the application of thermal-based energy balance models with coarse resolution data

William P. Kustas; Nurit Agam; Martha C. Anderson; Fuqin Li; Paul D. Colaizzi

doi:10.1117/12.737776

9 October 2007 Potential errors in the application of thermal-based energy balance models with coarse resolution data

William P. Kustas, Nurit Agam, Martha C. Anderson, Fuqin Li, Paul D. Colaizzi

Proceedings Volume 6742, Remote Sensing for Agriculture, Ecosystems, and Hydrology IX; 674208 (2007) https://doi.org/10.1117/12.737776
Event: SPIE Remote Sensing, 2007, Florence, Italy

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.

Citation Download Citation

William P. Kustas, Nurit Agam, Martha C. Anderson, Fuqin Li, and Paul D. Colaizzi "Potential errors in the application of thermal-based energy balance models with coarse resolution data", Proc. SPIE 6742, Remote Sensing for Agriculture, Ecosystems, and Hydrology IX, 674208 (9 October 2007); https://doi.org/10.1117/12.737776

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