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Remote Sens. 2014, 6(1), 880-904; doi:10.3390/rs6010880
Article

Validation and Application of the Modified Satellite-Based Priestley-Taylor Algorithm for Mapping Terrestrial Evapotranspiration

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Received: 24 November 2013; in revised form: 2 January 2014 / Accepted: 3 January 2014 / Published: 17 January 2014
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Abstract: Satellite-based vegetation indices (VIs) and Apparent Thermal Inertia (ATI) derived from temperature change provide valuable information for estimating evapotranspiration (LE) and detecting the onset and severity of drought. The modified satellite-based Priestley-Taylor (MS-PT) algorithm that we developed earlier, coupling both VI and ATI, is validated based on observed data from 40 flux towers distributed across the world on all continents. The validation results illustrate that the daily LE can be estimated with the Root Mean Square Error (RMSE) varying from 10.7 W/m2 to 87.6 W/m2, and with the square of correlation coefficient (R2) from 0.41 to 0.89 (p < 0.01). Compared with the Priestley-Taylor-based LE (PT-JPL) algorithm, the MS-PT algorithm improves the LE estimates at most flux tower sites. Importantly, the MS-PT algorithm is also satisfactory in reproducing the inter-annual variability at flux tower sites with at least five years of data. The R2 between measured and predicted annual LE anomalies is 0.42 (p = 0.02). The MS-PT algorithm is then applied to detect the variations of long-term terrestrial LE over Three-North Shelter Forest Region of China and to monitor global land surface drought. The MS-PT algorithm described here demonstrates the ability to map regional terrestrial LE and identify global soil moisture stress, without requiring precipitation information.
Keywords: modified satellite-based Priestley-Taylor algorithm; PT-JPL algorithm; terrestrial evapotranspiration; vegetation index; apparent thermal inertia modified satellite-based Priestley-Taylor algorithm; PT-JPL algorithm; terrestrial evapotranspiration; vegetation index; apparent thermal inertia
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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MDPI and ACS Style

Yao, Y.; Liang, S.; Zhao, S.; Zhang, Y.; Qin, Q.; Cheng, J.; Jia, K.; Xie, X.; Zhang, N.; Liu, M. Validation and Application of the Modified Satellite-Based Priestley-Taylor Algorithm for Mapping Terrestrial Evapotranspiration. Remote Sens. 2014, 6, 880-904.

AMA Style

Yao Y, Liang S, Zhao S, Zhang Y, Qin Q, Cheng J, Jia K, Xie X, Zhang N, Liu M. Validation and Application of the Modified Satellite-Based Priestley-Taylor Algorithm for Mapping Terrestrial Evapotranspiration. Remote Sensing. 2014; 6(1):880-904.

Chicago/Turabian Style

Yao, Yunjun; Liang, Shunlin; Zhao, Shaohua; Zhang, Yuhu; Qin, Qiming; Cheng, Jie; Jia, Kun; Xie, Xianhong; Zhang, Nannan; Liu, Meng. 2014. "Validation and Application of the Modified Satellite-Based Priestley-Taylor Algorithm for Mapping Terrestrial Evapotranspiration." Remote Sens. 6, no. 1: 880-904.


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