Intercomparison of Six Upscaling Evapotranspiration Methods: From Site to the Satellite Pixel
文献类型：期刊论文
| 作者 | Li, Xiang1; Liu, Shaomin1; Li, Huaixiang1; Ma, Yanfei2; Wang, Jianghao3; Zhang, Yuan1; Xu, Ziwei1; Xu, Tongren1; Song, Lisheng4; Yang, Xiaofan1 |
| 刊名 | JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
 |
| 出版日期 | 2018-07-16 |
| 卷号 | 123期号:13页码:6777-6803 |
| 关键词 | remotely sensed evapotranspiration validation ground truth upscaling pixel scale |
| ISSN号 | 2169-897X |
| DOI | 10.1029/2018JD028422 |
| 通讯作者 | Liu, Shaomin(smliu@bnu.edu.cn) |
| 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. |
| WOS关键词 | LARGE-APERTURE SCINTILLOMETER ; REMOTE-SENSING DATA ; ENVIRONMENTAL RESPONSE FUNCTIONS ; LAND-SURFACE EVAPORATION ; ENERGY-BALANCE CLOSURE ; HEIHE RIVER-BASIN ; EDDY-COVARIANCE ; HEAT-FLUX ; SENSITIVITY-ANALYSIS ; NORTHWEST CHINA |
| 资助项目 | National Natural Science Foundation of China[41531174] ; National Basic Research Program of China[2015CB953702] |
| WOS研究方向 | Meteorology & Atmospheric Sciences |
| 语种 | 英语 |
| WOS记录号 | WOS:000439799300007 |
| 出版者 | AMER GEOPHYSICAL UNION |
| 资助机构 | National Natural Science Foundation of China ; National Basic Research Program of China |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/54457]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Liu, Shaomin |
| 作者单位 | 1.Beijing Normal Univ, Fac Geog Sci, State Key Lab Earth Surface Proc & Resource Ecol, Beijing, Peoples R China 2.Handan Coll, Dept Geog, Handan, Peoples R China 3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing, Peoples R China 4.Southwest Univ, Chongqing Engn Res Ctr Remote Sensing Big Data Ap, Sch Geog Sci, Chongqing, Peoples R China |
| 推荐引用方式 GB/T 7714 | Li, Xiang,Liu, Shaomin,Li, Huaixiang,et al. Intercomparison of Six Upscaling Evapotranspiration Methods: From Site to the Satellite Pixel[J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,2018,123(13):6777-6803. |
| APA | Li, Xiang.,Liu, Shaomin.,Li, Huaixiang.,Ma, Yanfei.,Wang, Jianghao.,...&Guo, Zhixia.(2018).Intercomparison of Six Upscaling Evapotranspiration Methods: From Site to the Satellite Pixel.JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,123(13),6777-6803. |
| MLA | Li, Xiang,et al."Intercomparison of Six Upscaling Evapotranspiration Methods: From Site to the Satellite Pixel".JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES 123.13(2018):6777-6803. |
入库方式： OAI收割
来源：地理科学与资源研究所
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