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...

Descripción completa

Detalles Bibliográficos

Autores principales:	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
Formato:	info:ar-repo/semantics/artículo
Lenguaje:	Inglés
Publicado:	2017
Materias:	Evapotranspiración Landsat Imágenes por Satélites Datos Atmosféricos Evapotranspiration Satellite Imagery Atmospheric Data
Acceso en línea:	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