Estimation of Sensible and Latent Heat Flux Over Mountainous Areas Using the SEBAL Model
文献类型：期刊论文
| 作者 | Fu, Wei1,2,3; Tang, Bo-Hui1,2,3,4; Ma, Xianguang3,4,5; Fan, Dong1,2,3; Zhu, Xinming1,2,3 |
| 刊名 | IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
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| 出版日期 | 2025 |
| 卷号 | 63页码:4411919 |
| 关键词 | Surface topography Heating systems Land surface Estimation Surfaces Remote sensing Monitoring Land surface temperature Data models Mathematical models Latent heat mountainous areas MSEBAL remote sensing (RS) sensible heat |
| ISSN号 | 0196-2892 |
| DOI | 10.1109/TGRS.2025.3577180 |
| 产权排序 | 4 |
| 文献子类 | Article |
| 英文摘要 | Accurately estimating sensible heat (H) and latent heat (LE) in mountainous areas is a significant challenge due to the influence of complex topography factors. Currently, most models have been developed to estimate surface heat flux for flat surfaces without considering the effect of complex geometric terrain structures. In this study, the surface energy balance algorithm for land (SEBAL) coupled with a mountainous net surface radiation ( R-n ) calculation method (MSEBAL) was proposed to accurately estimate H and LE in the upstream catchment regions of the Heihe River Basin (HRB). R-n was estimated by correcting the solar incoming radiation components using topographic factors, including slope, aspect, sky view factor (SVF), and terrain configuration factor (TCF). The SEBAL and MSEBAL models were applied to satellite remote sensing (RS) data from Landsat 8 images and ground-observed datasets. In situ measurements from the eddy covariance (EC) system of the A'rou superstation were used to validate the estimation accuracy of R-n , LE, and H by MSEBAL. The results show that R-n , LE, and H estimated by the MSEBAL exhibit good consistency with the validation of in situ measurements. R-n estimated by MSEBAL showed a decrease in RMSE from 164.32 to 51.31 W/m(2) and a reduction in absolute bias from 154.50 to 10.50 W/m2 compared to SEBAL. The H and LE estimated by MSEBAL exhibit low RMSE and bias, with values of 31.96 and -17.93 W/m2 for H, and 35.67 and -6.18 W/m2 for LE, respectively, compared to SEBAL. The spatial pattern of surface heat fluxes exhibited variations with complex terrain changes. H and LE were found to be higher at mountain peaks, while lower values were observed in valleys. Additionally, H and LE were greater on east- and south-facing slopes that receive more solar radiation compared to west- and north-facing slopes. This study provides an effective tool for estimating surface heat fluxes over mountainous regions. |
| URL标识 | 查看原文 |
| WOS关键词 | ENERGY-BALANCE MODEL ; REMOTELY-SENSED DATA ; COMPLEX TERRAIN ; MAPPING EVAPOTRANSPIRATION ; SURFACE ; REGION ; TOPOGRAPHY ; VEGETATION ; CHINA ; BASIN |
| WOS研究方向 | Geochemistry & Geophysics ; Engineering ; Remote Sensing ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| WOS记录号 | WOS:001511064700005 |
| 出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/214659]  |
| 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.Kunming Univ Sci & Technol, Fac Land Resource Engn, Kunming 650093, Peoples R China; 2.Yunnan Key Lab Quantitat Remote Sensing, Kunming 650093, Peoples R China; 3.Yunnan Int Joint Lab Integrated Sky Ground Intelli, Kunming 650093, Peoples R China; 4.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China; 5.Planning & Design Inst Land & Resources Yunnan Pro, Kunming 650224, Peoples R China |
| 推荐引用方式 GB/T 7714 | Fu, Wei,Tang, Bo-Hui,Ma, Xianguang,et al. Estimation of Sensible and Latent Heat Flux Over Mountainous Areas Using the SEBAL Model[J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,2025,63:4411919. |
| APA | Fu, Wei,Tang, Bo-Hui,Ma, Xianguang,Fan, Dong,&Zhu, Xinming.(2025).Estimation of Sensible and Latent Heat Flux Over Mountainous Areas Using the SEBAL Model.IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,63,4411919. |
| MLA | Fu, Wei,et al."Estimation of Sensible and Latent Heat Flux Over Mountainous Areas Using the SEBAL Model".IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 63(2025):4411919. |
入库方式： OAI收割
来源：地理科学与资源研究所
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