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

• Autores: 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
• Año de publicación: 2017
• Idioma: inglés
• Tipo de recurso: artículo
• Fuente: Journal of hydrology 553 : 508-526. (October 2017)
• Materia: Evapotranspiración; Landsat; Imágenes por Satélites; Datos Atmosféricos; Evapotranspiration; Satellite Imagery; Atmospheric Data
• Institución: Instituto Nacional de Tecnología Agropecuaria

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 uncertainty among existing ET products from Landsat that limit their application. This study presents a simple Taylor skill fusion (STS) method that merges five Landsat-based ET products and directly measured ET from eddy covariance (EC) to improve the global estimation of terrestrial ET. The STS method uses a weighted average of the individual ET products and weights are determined by their Taylor skill scores (S). The validation with site-scale measurements at 206 EC flux towers showed large differences and uncertainties among the five ET products. The merged ET product exhibited the best performance with a decrease in the averaged root-mean-square error (RMSE) by 2–5 W/m2 when compared to the individual products. To evaluate the reliability of the STS method at the regional scale, the weights of the STS method for these five ET products were determined using EC ground-measurements. An example of regional ET mapping demonstrates that the STS-merged ET can effectively integrate the individual Landsat ET products. Our proposed method provides an improved high-resolution ET product for identifying agricultural crop water consumption and providing a diagnostic assessment for global land surface models.
Inst. de Clima y Agua
Fil: Yunjun, Yao. Beijing Normal University. Faculty of Geographical Science. State Key Laboratory of Remote Sensing Science; China
Fil: Shunlin, Liang. Beijing Normal University. Faculty of Geographical Science. State Key Laboratory of Remote Sensing Science; China
Fil: Xianglan, Li. Beijing Normal University. College of Global Change and Earth System Science; China
Fil: Yuhu, Zhang. Capital Normal University. College of Resource Environment and Tourism; China
Fil: Jiquan, Chen. Michigan State University. CGCEO/Geography; Estados Unidos
Fil: Kun, Jia. Beijing Normal University. Faculty of Geographical Science. State Key Laboratory of Remote Sensing Science; China
Fil: Xiaotong, Zhang. Beijing Normal University. Faculty of Geographical Science. State Key Laboratory of Remote Sensing Science; China
Fil: Fisher, Joshua B. California Institute of Technology. Jet Propulsion Laboratory; Estados Unidos
Fil: Xuanyu, Wang. Beijing Normal University. Faculty of Geographical Science. State Key Laboratory of Remote Sensing Science; China
Fil: Lilin, Zhang. Beijing Normal University. Faculty of Geographical Science. State Key Laboratory of Remote Sensing Science; China
Fil: Jia, Xu. Beijing Normal University. Faculty of Geographical Science. State Key Laboratory of Remote Sensing Science; China
Fil: Changliang, Shao. Michigan State University. CGCEO/Geography; Estados Unidos
Fil: Posse Beaulieu, Gabriela. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Clima y Agua; Argentina
Fil: Yingnian, Li. Chinese Academy of Sciences. Northwest Institute of Plateau Biology; China
Fil: Magliulo, Vincenzo. Consiglio Nazionale delle Ricerche. Institute of Mediterranean Forest and Agricultural Systems; Italia
Fil: Varlagin, Andrej. Russian Academy of Sciences. A.N. Severtsov Institute of Ecology and Evolution; Rusia
Fil: Moors, Eddy J. Wageningen University and Research, Wageningen Environmental Research; Holanda
Fil: Boike, Julia. Alfred Wegener Institute for Polar and Marine Research; Alemania
Fil: Macfarlane, Craig. Commonwealth Scientific and Industrial Research Organisation (CSIRO) Land and Water; Australia
Fil: Kato, Tomomichi. Hokkaido University. Research Faculty of Agriculture; Japón
Fil: Buchmann, Nina. ETH Zurich. Department of Environmental Systems Science; Suiza
Fil: Billesbach, D.P. University of Nebraska. Department of Biological Systems Engineering and School of Natural Resources; Estados Unidos
Fil: Beringer, Jason. University of Western Australia. School of Agriculture and Environment; Australia
Fil: Wolf, Sebastian. ETH Zurich. Department of Environmental Systems Science; Suiza
Fil: Papuga, Shirley A. University of Arizona. School of Natural Resources and the Environment; Estados Unidos
Fil: Wohlfahrt, Georg. University of Innsbruck. Institute of Ecology; Austria
Fil: Montagnani, Leonardo. Free University of Bolzano. Faculty of Science and Technology; Italia
Fil: Ardö, Jonas. Lund University. Physical Geography and Ecosystem Science; Suecia
Fil: Paul-Limoges, Eugénie. ETH Zurich. Department of Environmental Systems Science; Suiza
Fil: Emmel, Carmen. ETH Zurich. Department of Environmental Systems Science; Suiza
Fil: Hörtnagl, Lukas. ETH Zurich. Department of Environmental Systems Science; Suiza
Fil: Sachs, Torsten. GFZ German Research Centre for Geosciences, Section Remote Sensing; Alemania
Fil: Gruening, Carsten. European Commission, Joint Research Centre; Italia
Fil: Gioli, Beniamino. National Research Council. Institute of Biometeorology; Italia
Fil: López-Ballesteros, Ana. University of Granada. Faculty of Sciences. Department of Ecology; España
Fil: Steinbrecher, Rainer. Karlsruhe Institute of Technology (KIT), Institute of Meteorology and Climate Research (IMK-IFU); Alemania
Fil: Gielen, Bert. University of Antwerp. Department of Biology. Centre of Excellence PLECO; Bélgica