DOI: 10.1029/2018JD028422
Scopus记录号: 2-s2.0-85050376570
论文题名: Intercomparison of Six Upscaling Evapotranspiration Methods: From Site to the Satellite Pixel
作者: Li X. ; Liu S. ; Li H. ; Ma Y. ; Wang J. ; Zhang Y. ; Xu Z. ; Xu T. ; Song L. ; Yang X. ; Lu Z. ; Wang Z. ; Guo Z.
刊名: Journal of Geophysical Research: Atmospheres
ISSN: 2169897X
出版年: 2018
卷: 123, 期: 13 起始页码: 6777
结束页码: 6803
语种: 英语
英文关键词: ground truth
; pixel scale
; remotely sensed evapotranspiration
; upscaling
; validation
Scopus关键词: comparative study
; evapotranspiration
; flux measurement
; ground-based measurement
; model validation
; pixel
; remote sensing
; satellite data
; temperature gradient
; upscaling
; China
; Gansu
; Heihe Basin
英文摘要: Land surface evapotranspiration (ET) is an important component of the surface energy budget and water cycle. To solve the problem of the spatial-scale mismatch between in situ observations and remotely sensed ET, it is necessary to find the most appropriate upscaling approach for acquiring ground truth ET data at the satellite pixel scale. Based on a data set from two flux observation matrices in the middle stream and downstream of the Heihe River Basin, six upscaling methods were intercompared via direct validation and cross validation. The results showed that the area-weighted method performed better than the other five upscaling methods introducing auxiliary variables (the integrated Priestley-Taylor equation, weighted area-to-area regression kriging [WATARK], artificial neural network, random forest [RF], and deep belief network methods) over homogeneous underlying surfaces. Over moderately heterogeneous underlying surfaces, the WATARK method performed better. However, the RF method performed better over highly heterogeneous underlying surfaces. A combined method (using the area-weighted and WATARK methods for homogeneous and moderately heterogeneous underlying surfaces, respectively, and using the RF method for highly heterogeneous underlying surfaces) was proposed to acquire the daily ground truth ET data at the satellite pixel scale, and the errors in the ground truth ET data were evaluated. The Dual Temperature Difference (DTD) and ETMonitor were validated using ground truth ET data, which solve the problem of the spatial-scale mismatch and quantify uncertainties in the validation process. ©2018. American Geophysical Union. All Rights Reserved. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/113524
Appears in Collections: 气候减缓与适应
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作者单位: State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing, China; Department of Geography, Handan College, Handan, China; State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China; Chongqing Engineering Research Center for Remote Sensing Big Data Application, School of Geographical Sciences, Southwest University, Chongqing, China
Recommended Citation:
Li X.,Liu S.,Li H.,et al. Intercomparison of Six Upscaling Evapotranspiration Methods: From Site to the Satellite Pixel[J]. Journal of Geophysical Research: Atmospheres,2018-01-01,123(13)