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Estimation of high-...
Estimation of high-resolution terrestrial evapotranspiration from Landsat data using a simple Taylor skill fusion method
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- Yao, Yunjun (author)
- Beijing Normal University
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- Liang, Shunlin (author)
- Beijing Normal University
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- Li, Xianglan (author)
- Beijing Normal University
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- Zhang, Yuhu (author)
- Capital Normal University
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- Chen, Jiquan (author)
- Michigan State University
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- Jia, Kun (author)
- Beijing Normal University
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- Zhang, Xiaotong (author)
- Beijing Normal University
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- Fisher, Joshua B. (author)
- California Institute of Technology
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- Wang, Xuanyu (author)
- Beijing Normal University
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- Zhang, Lilin (author)
- Beijing Normal University
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- Xu, Jia (author)
- Beijing Normal University
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- Shao, Changliang (author)
- Michigan State University
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- Posse, Gabriela (author)
- National Institute of Agricultural Technology (INTA)
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- Li, Yingnian (author)
- Northwest Institute of Plateau Biology, CAS
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- Magliulo, Vincenzo (author)
- CNR Institute for Agricultural and Forestry Systems in the Mediterranean (CNR-ISAFOM)
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- Varlagin, Andrej (author)
- Severtsov Institute of Ecology and Evolution, Russian Academy of Sciences
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- Moors, Eddy J. (author)
- Wageningen University
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- Boike, Julia (author)
- Alfred-Wegener Institute for Polar and Marine Research, Potsdam
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- Macfarlane, Craig (author)
- CSIRO Land & Water Flagship
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- Kato, Tomomichi (author)
- Hokkaido University
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- Buchmann, Nina (author)
- ETH Zürich
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- Billesbach, D. P. (author)
- University of Nebraska - Lincoln
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- Beringer, Jason (author)
- University of Western Australia, Crawley
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- Wolf, Sebastian (author)
- ETH Zürich
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- Papuga, Shirley A. (author)
- University of Arizona
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- Wohlfahrt, Georg (author)
- University of Innsbruck
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- Montagnani, Leonardo (author)
- Free University of Bozen-Bolzano
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- Ardö, Jonas (author)
- Lund University,Lunds universitet,Institutionen för naturgeografi och ekosystemvetenskap,Naturvetenskapliga fakulteten,Dept of Physical Geography and Ecosystem Science,Faculty of Science
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- Paul-Limoges, Eugénie (author)
- ETH Zürich
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- Emmel, Carmen (author)
- ETH Zürich
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- Hörtnagl, Lukas (author)
- ETH Zürich
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- Sachs, Torsten (author)
- GFZ German Research Centre for Geosciences
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- Gruening, Carsten (author)
- European Commission Joint Research Centre, Ispra
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- Gioli, Beniamino (author)
- CNR Institute of Biometeorology (CNR-IBIMET)
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- López-Ballesteros, Ana (author)
- University of Granada
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- Steinbrecher, Rainer (author)
- Karlsruhe Institute of Technology
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- Gielen, Bert (author)
- University of Antwerp
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(creator_code:org_t)
- Elsevier BV, 2017
- 2017
- English 19 s.
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In: Journal of Hydrology. - : Elsevier BV. - 0022-1694. ; 553, s. 508-526
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http://dx.doi.org/10...
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Abstract
Subject headings
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- 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.
Subject headings
- NATURVETENSKAP -- Geovetenskap och miljövetenskap -- Oceanografi, hydrologi och vattenresurser (hsv//swe)
- NATURAL SCIENCES -- Earth and Related Environmental Sciences -- Oceanography, Hydrology and Water Resources (hsv//eng)
Keyword
- Eddy covariance
- Fusion method
- High-resolution products
- Landsat data
- Terrestrial evapotranspiration
Publication and Content Type
- art (subject category)
- ref (subject category)
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To the university's database
- By the author/editor
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Yao, Yunjun
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Liang, Shunlin
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Li, Xianglan
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Zhang, Yuhu
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Chen, Jiquan
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Jia, Kun
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show more...
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Zhang, Xiaotong
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Fisher, Joshua B ...
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Wang, Xuanyu
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Zhang, Lilin
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Xu, Jia
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Shao, Changliang
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Posse, Gabriela
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Li, Yingnian
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Magliulo, Vincen ...
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Varlagin, Andrej
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Moors, Eddy J.
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Boike, Julia
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Macfarlane, Crai ...
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Kato, Tomomichi
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Buchmann, Nina
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Billesbach, D. P ...
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Beringer, Jason
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Wolf, Sebastian
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Papuga, Shirley ...
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Wohlfahrt, Georg
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Montagnani, Leon ...
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Ardö, Jonas
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Paul-Limoges, Eu ...
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Emmel, Carmen
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Hörtnagl, Lukas
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Sachs, Torsten
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Gruening, Carste ...
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Gioli, Beniamino
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López-Ballestero ...
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Steinbrecher, Ra ...
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Gielen, Bert
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- About the subject
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- NATURAL SCIENCES
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NATURAL SCIENCES
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and Earth and Relate ...
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and Oceanography Hyd ...
- Articles in the publication
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Journal of Hydro ...
- By the university
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Lund University