Remote Sensing Applications and Decision Support

Evapotranspiration estimation using Landsat-8 data with a two-layer framework

[+] Author Affiliations
Jian Yin

Northeast Agricultural University, School of Water Conservancy and Civil Engineering, Harbin, China

Chinese Academy of Science, Key Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographic Science and Natural Resource Research, Beijing, China

Anqing Normal University, School of Resources and Environment, Anqing, China

Hailong Wang

University of Aberdeen, Northern Rivers Institute, School of Geosciences, Aberdeen, United Kingdom

Chesheng Zhan

Chinese Academy of Science, Key Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographic Science and Natural Resource Research, Beijing, China

Yang Lu

Anqing Normal University, School of Resources and Environment, Anqing, China

Ningbo University, Department of Geography and Spatial Information Techniques, Anqing Normal University, Ningbo, China

J. Appl. Remote Sens. 11(1), 016034 (Mar 01, 2017). doi:10.1117/1.JRS.11.016034
History: Received November 11, 2016; Accepted February 13, 2017
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Abstract.  Evapotranspiration (ET) plays an important role in hydrological cycle by linking land surface and atmosphere through water and energy transfers. Based on the data from the Landsat-8 satellite for typical days with clear sky condition from 2013 to 2016, a two-layer daily ET remote sensing framework was built, which includes four compartments: surface feature parameter estimation, evaporative fraction estimation, daily net radiation estimation, and daily ET extension. Based on the model, evaporation, transpiration, and daily ET in Shahe River Basin were estimated. The estimated daily ET showed a mean absolute percentage error of 8.7% in the plain areas, and 12.1% in the mountainous areas, compared to observations using large aperture scintillometer and eddy covariance system. The method gave higher accuracy than other remote sensing models applied in the same area previously, including the surface energy balance system and the ETWatch. By analyzing the relationship between land use types and surface water/heat fluxes, it was found that the surface energy balance components in the basin have prominent spatial-temporal features, and the soil component’s features are more obvious. It indicated that the proposed two-layer approach is superior to others in terms of simulation accuracy, and applicable to daily scale ET estimations on complex terrains.

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Citation

Jian Yin ; Hailong Wang ; Chesheng Zhan and Yang Lu
"Evapotranspiration estimation using Landsat-8 data with a two-layer framework", J. Appl. Remote Sens. 11(1), 016034 (Mar 01, 2017). ; http://dx.doi.org/10.1117/1.JRS.11.016034


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