Evapotranspiration estimation using Landsat-8 data with a two-layer framework
文献类型：期刊论文
| 作者 | Yin, Jian1,2,3; Wang, Hailong4; Zhan, Chesheng2 ; Lu, Yang3,5
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| 刊名 | JOURNAL OF APPLIED REMOTE SENSING
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| 出版日期 | 2017-03-01 |
| 卷号 | 11页码:17 |
| 关键词 | evapotranspiration remote sensing river basin two-layer model Landsat-8 |
| ISSN号 | 1931-3195 |
| DOI | 10.1117/1.JRS.11.016034 |
| 通讯作者 | Yin, Jian(yinjinbnu@163.com) |
| 英文摘要 | Evapotranspiration (ET) plays an important role in hydrological cycle by linking land surface and atmosphere through water and energy transfers. Based on the data from the Landsat-8 satellite for typical days with clear sky condition from 2013 to 2016, a two-layer daily ET remote sensing framework was built, which includes four compartments: surface feature parameter estimation, evaporative fraction estimation, daily net radiation estimation, and daily ET extension. Based on the model, evaporation, transpiration, and daily ET in Shahe River Basin were estimated. The estimated daily ET showed a mean absolute percentage error of 8.7% in the plain areas, and 12.1% in the mountainous areas, compared to observations using large aperture scintillometer and eddy covariance system. The method gave higher accuracy than other remote sensing models applied in the same area previously, including the surface energy balance system and the ETWatch. By analyzing the relationship between land use types and surface water/heat fluxes, it was found that the surface energy balance components in the basin have prominent spatial-temporal features, and the soil component's features are more obvious. It indicated that the proposed two-layer approach is superior to others in terms of simulation accuracy, and applicable to daily scale ET estimations on complex terrains. (C) 2017 Society of Photo-Optical Instrumentation Engineers (SPIE) |
| WOS关键词 | ENERGY-BALANCE ; AIR-TEMPERATURE ; HAI BASIN ; MODEL ; CHINA ; VALIDATION ; FLUX ; RETRIEVAL ; ALGORITHM |
| 资助项目 | National Natural Science Foundation of China[41401042] ; National Natural Science Foundation of China[41571019] ; National Natural Science Foundation of China[41371043] ; National Key Basic Research Program of China (973 Program)[2015CB452701] |
| WOS研究方向 | Environmental Sciences & Ecology ; Remote Sensing ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| WOS记录号 | WOS:000397757800001 |
| 出版者 | SPIE-SOC PHOTO-OPTICAL INSTRUMENTATION ENGINEERS |
| 资助机构 | National Natural Science Foundation of China ; National Key Basic Research Program of China (973 Program) |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/64757]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Yin, Jian |
| 作者单位 | 1.Northeast Agr Univ, Sch Water Conservancy & Civil Engn, Harbin, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resource Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing, Peoples R China 3.Anqing Normal Univ, Sch Resources & Environm, Anqing, Peoples R China 4.Univ Aberdeen, Sch Geosci, Northern Rivers Inst, Aberdeen, Scotland 5.Ningbo Univ, Anqing Normal Univ, Dept Geog & Spatial Informat Tech, Ningbo, Peoples R China |
| 推荐引用方式 GB/T 7714 | Yin, Jian,Wang, Hailong,Zhan, Chesheng,et al. Evapotranspiration estimation using Landsat-8 data with a two-layer framework[J]. JOURNAL OF APPLIED REMOTE SENSING,2017,11:17. |
| APA | Yin, Jian,Wang, Hailong,Zhan, Chesheng,&Lu, Yang.(2017).Evapotranspiration estimation using Landsat-8 data with a two-layer framework.JOURNAL OF APPLIED REMOTE SENSING,11,17. |
| MLA | Yin, Jian,et al."Evapotranspiration estimation using Landsat-8 data with a two-layer framework".JOURNAL OF APPLIED REMOTE SENSING 11(2017):17. |
入库方式： OAI收割
来源：地理科学与资源研究所
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