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

Yao, Yunjun; Liang, Shunlin; Li, Xianglan; Zhang, Yuhu; Chen, Jiquan; Jia, Kun; Zhang, Xiaotong; Fisher, Joshua B.; Wang, Xuanyu; Zhang, Lilin; Xu, Jia; Shao, Changliang; Posse, Gabriela; Li, Yingnian; 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

doi:10.1016/j.jhydrol.2017.08.013

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

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; Liang, Shunlin; Li, Xianglan; Zhang, Yuhu; Chen, Jiquan; Jia, Kun; Zhang, Xiaotong; Fisher, Joshua B.; Wang, Xuanyu; Zhang, Lilin; Xu, Jia; Shao, Changliang; Posse, Gabriela; Li, Yingnian; Magliulo, Vincenzo; Varlagin, Andrej; Moors, Eddy J.; Boike, Julia; Macfarlane, Craig; Kato, Tomomichi more »

Publication Date:: 2017-10-01

Sponsoring Org.:: USDOE Office of Science (SC), Biological and Environmental Research (BER)

OSTI Identifier:: 1549875

Grant/Contract Number:: FG02-04ER63917; FG02-04ER63911; 41671331

Resource Type:: Publisher's Accepted Manuscript

Journal Name:: Journal of Hydrology

Additional Journal Information:: Journal Name: Journal of Hydrology Journal Volume: 553 Journal Issue: C; Journal ID: ISSN 0022-1694

Publisher:: Elsevier

Country of Publication:: Netherlands

Language:: English

Citation Formats


                    Yao, Yunjun, Liang, Shunlin, Li, Xianglan, Zhang, Yuhu, Chen, Jiquan, Jia, Kun, Zhang, Xiaotong, Fisher, Joshua B., Wang, Xuanyu, Zhang, Lilin, Xu, Jia, Shao, Changliang, Posse, Gabriela, Li, Yingnian, 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, and Gielen, Bert. Estimation of high-resolution terrestrial evapotranspiration from Landsat data using a simple Taylor skill fusion method.  Netherlands: N. p., 2017. 
Web.  doi:10.1016/j.jhydrol.2017.08.013.

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                    Yao, Yunjun, Liang, Shunlin, Li, Xianglan, Zhang, Yuhu, Chen, Jiquan, Jia, Kun, Zhang, Xiaotong, Fisher, Joshua B., Wang, Xuanyu, Zhang, Lilin, Xu, Jia, Shao, Changliang, Posse, Gabriela, Li, Yingnian, 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. Estimation of high-resolution terrestrial evapotranspiration from Landsat data using a simple Taylor skill fusion method.  Netherlands.  https://doi.org/10.1016/j.jhydrol.2017.08.013

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                    Yao, Yunjun, Liang, Shunlin, Li, Xianglan, Zhang, Yuhu, Chen, Jiquan, Jia, Kun, Zhang, Xiaotong, Fisher, Joshua B., Wang, Xuanyu, Zhang, Lilin, Xu, Jia, Shao, Changliang, Posse, Gabriela, Li, Yingnian, 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, and Gielen, Bert. Sun .  
"Estimation of high-resolution terrestrial evapotranspiration from Landsat data using a simple Taylor skill fusion method".  Netherlands.  https://doi.org/10.1016/j.jhydrol.2017.08.013.

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@article{osti_1549875,

  title        = {Estimation of high-resolution terrestrial evapotranspiration from Landsat data using a simple Taylor skill fusion method},

  author       = {Yao, Yunjun and Liang, Shunlin and Li, Xianglan and Zhang, Yuhu and Chen, Jiquan and Jia, Kun and Zhang, Xiaotong and Fisher, Joshua B. and Wang, Xuanyu and Zhang, Lilin and Xu, Jia and Shao, Changliang and Posse, Gabriela and Li, Yingnian and Magliulo, Vincenzo and Varlagin, Andrej and Moors, Eddy J. and Boike, Julia and Macfarlane, Craig and Kato, Tomomichi and Buchmann, Nina and Billesbach, D. P. and Beringer, Jason and Wolf, Sebastian and Papuga, Shirley A. and Wohlfahrt, Georg and Montagnani, Leonardo and Ardö, Jonas and Paul-Limoges, Eugénie and Emmel, Carmen and Hörtnagl, Lukas and Sachs, Torsten and Gruening, Carsten and Gioli, Beniamino and López-Ballesteros, Ana and Steinbrecher, Rainer and Gielen, Bert},

  abstractNote = {},

  doi          = {10.1016/j.jhydrol.2017.08.013},

  journal      = {Journal of Hydrology},

  number       = C,

  volume       = 553,

  place        = {Netherlands},

  year         = {2017},

  month        = {10}

}

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