Estimation of high-resolution terrestrial evapotranspiration from Landsat data using a simple Taylor skill fusion method

Estimation of high-resolution terrestrial evapotranspiration (ET) from Landsat data is important in many climatic, hydrologic, and agricultural applications, as it can help bridging the gap between existing coarse-resolution ET products and point-based field measurements. However, there is large unc...

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Main Authors:	Yunjun, Yao, Shunlin, Liang, Yuhu, Zhang, Jiquan, Chen, Xianglan, Li, Kun, Jia, Xiaotong, Zhang, Fisher, Joshua B., Xuanyu, Wang, Lilin, Zhang, Jia, Xu, Changliang, Shao, Posse Beaulieu, Gabriela, Yingnian, Li, Magliulo, Vincenzo, Varlagin, Andrej, Moors, Eddy J., Boike, Julia, Macfarlane, Craig, Kato, Tomomichi, Buchmann, Nina, Billesbach, D.P., Beringer, Jason, Wolf, Sebastian, Papuga, Shirley A., Wohlfahrt, Georg, Montagnani, Leonardo, Ardö, Jonas, Paul-Limoges, Eugénie, Emmel, Carmen, Hörtnagl, Lukas, Sachs, Torsten, Gruening, Carsten, Gioli, Beniamino, López-Ballesteros, Ana, Steinbrecher, Rainer, Gielen, Bert
Format:	info:ar-repo/semantics/artículo
Language:	Inglés
Published:	2017
Subjects:	Evapotranspiración Landsat Imágenes por Satélites Datos Atmosféricos Evapotranspiration Satellite Imagery Atmospheric Data
Online Access:	http://hdl.handle.net/20.500.12123/1551 https://www.sciencedirect.com/science/article/pii/S0022169417305395 https://doi.org/10.1016/j.jhydrol.2017.08.013