KMS Institute of soil and water conservation Chinese Academy of Sciences
| Evaluation of remote sensing-based evapotranspiration estimates using a water transfer numerical simulation under different vegetation conditions in an arid area | |
| Jinjiao Lian2,3; Danfeng Li4; Mingbin Huang1; Hongsong Chen2,3; Huang, MB (reprint author), Northwest Agr & Forest Univ, Inst Soil & Water Conservat, State Key Lab Soil Eros & Dryland Farming Loess P, Yangling 712100, Shaanxi, Peoples R China. | |
| 文章类型 | Article |
| 2018 | |
| 发表期刊 | HYDROLOGICAL PROCESSES
 |
| ISSN | 0885-6087 |
| 通讯作者邮箱 | hmingbin@yahoo.com |
| 卷号 | 32期号:12页码:1801-1813 |
| 摘要 | Daily actual evapotranspiration (AET) and seasonal AET values are of great practical importance in the management of regional water resources and hydrological modelling. Remotely sensed AET models and Landsat satellite images have been used widely in producing AET estimates at the field scale. However, the lack of validation at a high spatial frequency under different soil water conditions and vegetation coverages limits their operational applications. To assess the accuracies of remote sensing-based AET in an oasis-desert region, a total of 59 local-scale daily AET time series, simulated using HYDRUS-1D calibrated with soil moisture profiles, were used as ground truth values. Of 59 sampling sites, 31 sites were located in the oasis subarea and 28 sites were located in the desert subarea. Additionally, the locally validated mapping evapotranspiration at high resolution with internalized calibration surface energy balance model was employed to estimate instantaneous AET values in the area containing all 59 of the sampling sites using seven Landsat subimages acquired from June 5 to August 24 in 2011. Daily AET was obtained using extrapolation and interpolation methods with the instantaneous AET maps. Compared against HYDRUS-1D, the remote sensing-based method produced reasonably similar daily AET values for the oasis sites, while no correlation was observed for daily AET estimated using these two methods for the desert sites. Nevertheless, a reasonable monthly AET could be estimated. The correlation analysis between HYDRUS-1D-simulated and remote sensing-estimated monthly AET values showed relative root-mean-square error values of 15.1%, 12.1%, and 12.3% for June, July, and August, respectively. The root mean square error of the summer AET was 10.0%. Overall, remotely sensed models can provide reasonable monthly and seasonal AET estimates based on periodic snapshots from Landsat images in this arid oasis-desert region. |
| 关键词 | Daily Actual Evapotranspiration Desert Area Hydrus-1d Model Evaluation Thermal Remote Sensing |
| 学科领域 | Water Resources |
| DOI | 10.1002/hyp.11621 |
| 收录类别 | SCI |
| 出版地 | 111 RIVER ST, HOBOKEN 07030-5774, NJ USA |
| 语种 | 英语 |
| WOS记录号 | WOS:000435783100006 |
| 出版者 | WILEY |
| 项目资助者 | National Natural Science Foundation of China [41571213, 41501234] ; National Natural Science Foundation of China [41571213, 41501234] |
| 引用统计 | |
| 文献类型 | 期刊论文 |
| 条目标识符 | sbir.nwafu.edu.cn/handle/361005/8229 |
| 专题 | 水保所科研产出--SCI_2018--SCI |
| 通讯作者 | Huang, MB (reprint author), Northwest Agr & Forest Univ, Inst Soil & Water Conservat, State Key Lab Soil Eros & Dryland Farming Loess P, Yangling 712100, Shaanxi, Peoples R China. |
| 作者单位 | 1.Northwest Agr & Forest Univ, Inst Soil & Water Conservat, State Key Lab Soil Eros & Dryland Farming Loess P, Yangling 712100, Shaanxi, Peoples R China 2.Chinese Acad Sci, Inst Subtrop Agr, Key Lab Agroecol Proc Subtrop Reg, Changsha 410125, Hunan, Peoples R China 3.Chinese Acad Sci, Huanjiang Observat & Res Stn Karst Ecosyst, Inst Subtrop Agr, Huanjiang 547100, Peoples R China 4.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing 100101, Peoples R China |
| 推荐引用方式 GB/T 7714 | Jinjiao Lian,Danfeng Li,Mingbin Huang,et al. Evaluation of remote sensing-based evapotranspiration estimates using a water transfer numerical simulation under different vegetation conditions in an arid area[J]. HYDROLOGICAL PROCESSES,2018,32(12):1801-1813. |
| APA | Jinjiao Lian,Danfeng Li,Mingbin Huang,Hongsong Chen,&Huang, MB .(2018).Evaluation of remote sensing-based evapotranspiration estimates using a water transfer numerical simulation under different vegetation conditions in an arid area.HYDROLOGICAL PROCESSES,32(12),1801-1813. |
| MLA | Jinjiao Lian,et al."Evaluation of remote sensing-based evapotranspiration estimates using a water transfer numerical simulation under different vegetation conditions in an arid area".HYDROLOGICAL PROCESSES 32.12(2018):1801-1813. |
| 条目包含的文件 | 下载所有文件 | |||||
| 文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
| 2-61.pdf（1325KB） | 期刊论文 | 作者接受稿 | 开放获取 | CC BY-NC-SA | 浏览 下载 | |
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。
修改评论