Remote Sensing Applications and Decision Support

On-orbit evaporative fraction estimations using a histogram-based triangle method from Terra MODIS

[+] Author Affiliations
Taeyoung Choi, John J. Qu

George Mason University, Global Environment and Natural Resources Institute and Geography and GeoInformation Science, Fairfax, Virginia, United States

J. Appl. Remote Sens. 11(1), 016038 (Mar 15, 2017). doi:10.1117/1.JRS.11.016038
History: Received November 15, 2016; Accepted February 27, 2017
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Abstract.  A triangle method has been frequently used for a regional evapotranspiration (ET) or evaporative fraction (EF) estimation using the relationship between a vegetation index and surface temperature. A simple histogram based on an on-orbit EF estimation algorithm is developed to determine hot and cold edges in the triangle distribution using only remotely sensed data. A new histogram based on an EF estimation algorithm is developed and compared with different options of existing hot and cold edge algorithms. The selected algorithms are applied to 5-year Terra MODIS data products, and the on-orbit EF estimations are validated using ground truth data from southern Great Plains. Using numerous iterations among the tested EF algorithms with the triangle method, the “histogram”-based hot edge and newly proposed cold edge algorithm combinations provide an excellent performance between the ground truth and on-orbit EF estimations. It is shown that the histogram-based EF algorithm has enhanced correlation and mean bias values of 0.74 and 0.087, respectively, providing excellent accuracy for the regional on-orbit EF estimations.

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© 2017 Society of Photo-Optical Instrumentation Engineers

Citation

Taeyoung Choi and John J. Qu
"On-orbit evaporative fraction estimations using a histogram-based triangle method from Terra MODIS", J. Appl. Remote Sens. 11(1), 016038 (Mar 15, 2017). ; http://dx.doi.org/10.1117/1.JRS.11.016038


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