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
Publication Date: 2017.
Language: English.
Abstract:
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
Author affiliation: Yunjun, Yao. Beijing Normal University. Faculty of Geographical Science. State Key Laboratory of Remote Sensing Science; China
Author affiliation: Shunlin, Liang. Beijing Normal University. Faculty of Geographical Science. State Key Laboratory of Remote Sensing Science; China
Author affiliation: Xianglan, Li. Beijing Normal University. College of Global Change and Earth System Science; China
Author affiliation: Yuhu, Zhang. Capital Normal University. College of Resource Environment and Tourism; China
Author affiliation: Jiquan, Chen. Michigan State University. CGCEO/Geography; Estados Unidos
Author affiliation: Kun, Jia. Beijing Normal University. Faculty of Geographical Science. State Key Laboratory of Remote Sensing Science; China
Author affiliation: Xiaotong, Zhang. Beijing Normal University. Faculty of Geographical Science. State Key Laboratory of Remote Sensing Science; China
Author affiliation: Fisher, Joshua B. California Institute of Technology. Jet Propulsion Laboratory; Estados Unidos
Author affiliation: Xuanyu, Wang. Beijing Normal University. Faculty of Geographical Science. State Key Laboratory of Remote Sensing Science; China
Author affiliation: Lilin, Zhang. Beijing Normal University. Faculty of Geographical Science. State Key Laboratory of Remote Sensing Science; China
Author affiliation: Jia, Xu. Beijing Normal University. Faculty of Geographical Science. State Key Laboratory of Remote Sensing Science; China
Author affiliation: Changliang, Shao. Michigan State University. CGCEO/Geography; Estados Unidos
Author affiliation: Posse Beaulieu, Gabriela. INTA. Instituto de Clima y Agua; Argentina
Author affiliation: Yingnian, Li. Chinese Academy of Sciences. Northwest Institute of Plateau Biology; China
Author affiliation: Magliulo, Vincenzo. Consiglio Nazionale delle Ricerche. Institute of Mediterranean Forest and Agricultural Systems; Italia
Author affiliation: Varlagin, Andrej. Russian Academy of Sciences. A.N. Severtsov Institute of Ecology and Evolution; Rusia
Author affiliation: Moors, Eddy J. Wageningen University and Research, Wageningen Environmental Research; Holanda
Author affiliation: Boike, Julia. Alfred Wegener Institute for Polar and Marine Research; Alemania
Author affiliation: Macfarlane, Craig. Commonwealth Scientific and Industrial Research Organisation (CSIRO) Land and Water; Australia
Author affiliation: Kato, Tomomichi. Hokkaido University. Research Faculty of Agriculture; Japón
Author affiliation: Buchmann, Nina. ETH Zurich. Department of Environmental Systems Science; Suiza
Author affiliation: Billesbach, D.P. University of Nebraska. Department of Biological Systems Engineering and School of Natural Resources; Estados Unidos
Author affiliation: Beringer, Jason. University of Western Australia. School of Agriculture and Environment; Australia
Author affiliation: Wolf, Sebastian. ETH Zurich. Department of Environmental Systems Science; Suiza
Author affiliation: Papuga, Shirley A. University of Arizona. School of Natural Resources and the Environment; Estados Unidos
Author affiliation: Wohlfahrt, Georg. University of Innsbruck. Institute of Ecology; Austria
Author affiliation: Montagnani, Leonardo. Free University of Bolzano. Faculty of Science and Technology; Italia
Author affiliation: Ardö, Jonas. Lund University. Physical Geography and Ecosystem Science; Suecia
Author affiliation: Paul-Limoges, Eugénie. ETH Zurich. Department of Environmental Systems Science; Suiza
Author affiliation: Emmel, Carmen. ETH Zurich. Department of Environmental Systems Science; Suiza
Author affiliation: Hörtnagl, Lukas. ETH Zurich. Department of Environmental Systems Science; Suiza
Author affiliation: Sachs, Torsten. GFZ German Research Centre for Geosciences, Section Remote Sensing; Alemania
Author affiliation: Gruening, Carsten. European Commission, Joint Research Centre; Italia
Author affiliation: Gioli, Beniamino. National Research Council. Institute of Biometeorology; Italia
Author affiliation: López-Ballesteros, Ana. University of Granada. Faculty of Sciences. Department of Ecology; España
Author affiliation: Steinbrecher, Rainer. Karlsruhe Institute of Technology (KIT), Institute of Meteorology and Climate Research (IMK-IFU); Alemania
Author affiliation: Gielen, Bert. University of Antwerp. Department of Biology. Centre of Excellence PLECO; Bélgica
Repository: INTA Digital (INTA). Instituto Nacional de Tecnología Agropecuaria