Assessing Terrain Effect on Evapotranspiration Using the SEBAL Model in Mountainous Regions
文献类型：期刊论文
| 作者 | Fu, Wei3,4,5; Tang, Bo-Hui2,3,5; Ma, Xianguang1,3,4,5; Zhu, Xinming3,4,5; Li, Yingyun3,4,5; Cheng, Lijia3,4,5 |
| 刊名 | IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
 |
| 出版日期 | 2025 |
| 卷号 | 18页码:6017-6040 |
| 关键词 | Surface topography Land surface Terrain factors Estimation Accuracy Spatial resolution Remote sensing Land surface temperature Analytical models Temperature distribution Estimating of evapotranspiration (ET) impact of terrain mountainous areas surface energy balance algorithm for land (SEBAL) spatial distribution |
| ISSN号 | 1939-1404 |
| DOI | 10.1109/JSTARS.2025.3539822 |
| 产权排序 | 5 |
| 文献子类 | Article |
| 英文摘要 | Evapotranspiration (ET) is a critical hydrothermal parameter for effective water resource management, particularly in land use. However, accurately estimating ET in mountainous regions is challenging due to terrain effects. In this study, we coupled a surface net radiation model accounting for topographic effect, with the Surface Energy Balance Algorithm for Land (SEBAL) to estimate daily ET and analyze the impact of terrain on ET. We compared ET estimated from SEBAL, using Landsat 8/9 datasets, with those from MOD16A2, PML-V2, and ETMonitor at Potatso National Park, China, from 2017 to 2022. The result showed that ET estimated by SEBAL exhibited more detailed spatial distributions influenced by terrain. ET estimated by SEBAL agreed well with the PML-V2, with an R-2, RMSE, and bias of 0.81, 1.02 mm/day, and 0.94 mm/day, respectively. Terrain effects on ET can be generalized as follows: spatial distributions of daily ET exhibit a bimodal pattern with increasing altitude, with ET peaks occurring at 2900-3200 and 3500-3800 m, respectively. Daily ET notably increases from north-to-northeast-to-east aspects, remains stable from east-to-south-to-southwest, and gradually decreases from southwest-to-west-to-northwest aspects. ET peaks were observed on slopes of 15 degrees-25 degrees, with significant increases followed by decreases as the slope increased, and the maximum difference was 0.69 mm/day on west slopes. In addition, ET peaks shifted to higher slopes on east-to-south slope compared to west-to-north slope, with a difference of less than 0.51 mm/day. This study presents a robust approach for accurately estimating ET and analyzing the effects of terrain on ET in mountainous areas. |
| URL标识 | 查看原文 |
| WOS关键词 | SURFACE-ENERGY BALANCE ; REMOTELY-SENSED DATA ; COMPLEX TERRAIN ; SOLAR-RADIATION ; SOIL-MOISTURE ; HEAT FLUXES ; SYSTEM SEBS ; RIVER-BASIN ; ALGORITHM ; CHINA |
| WOS研究方向 | Engineering ; Physical Geography ; Remote Sensing ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| WOS记录号 | WOS:001432763400009 |
| 出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/213354]  |
| 专题 | 资源与环境信息系统国家重点实验室_外文论文 |
| 通讯作者 | Tang, Bo-Hui |
| 作者单位 | 1.Planning & Design Inst Land & Resources Yunnan Pro, Kunming 650224, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China; 3.Yunnan Int Joint Lab Integrated Sky Ground Intelli, Kunming 650093, Peoples R China; 4.Yunnan Key Lab Quantitat Remote Sensing, Kunming 650093, Peoples R China; 5.Kunming Univ Sci & Technol, Fac Land Resource Engn, Kunming 650093, Peoples R China; |
| 推荐引用方式 GB/T 7714 | Fu, Wei,Tang, Bo-Hui,Ma, Xianguang,et al. Assessing Terrain Effect on Evapotranspiration Using the SEBAL Model in Mountainous Regions[J]. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING,2025,18:6017-6040. |
| APA | Fu, Wei,Tang, Bo-Hui,Ma, Xianguang,Zhu, Xinming,Li, Yingyun,&Cheng, Lijia.(2025).Assessing Terrain Effect on Evapotranspiration Using the SEBAL Model in Mountainous Regions.IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING,18,6017-6040. |
| MLA | Fu, Wei,et al."Assessing Terrain Effect on Evapotranspiration Using the SEBAL Model in Mountainous Regions".IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING 18(2025):6017-6040. |
入库方式： OAI收割
来源：地理科学与资源研究所
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