Retrieval of high spatial resolution mountainous land surface temperature considering topographic and adjacency effects
文献类型：期刊论文
| 作者 | He, Zhiwei4; Tang, Bohui3,4; Li, Zhaoliang2 |
| 刊名 | SCIENCE CHINA-EARTH SCIENCES
 |
| 出版日期 | 2024-09-02 |
| 卷号 | N/A |
| 关键词 | Mountainous land surface temperature Topographic and adjacency effects Nonlinear generalized split-window algorithm Landsat-9 data DART model |
| DOI | 10.1007/s11430-023-1398-2 |
| 产权排序 | 3 |
| 文献子类 | Article ; Early Access |
| 英文摘要 | Land surface temperature (LST) is a key parameter reflecting the interaction between land and atmosphere. Currently, thermal infrared (TIR) quantitative remote sensing technology is the only means to obtain large-scale, high spatial resolution LST. Accurately retrieving high spatial resolution mountainous LST (MLST) plays an important role in the study of mountain climate change. The complex terrain and strong spatial heterogeneity in mountainous areas change the geometric relationship between the surface and satellite sensors, affecting the radiation received by the sensors, and rendering the assumption of planar parallelism invalid. In this study, considering the influence of complex terrain in mountainous areas on atmospheric downward radiation and the thermal radiation contribution of adjacent pixels, a mountainous TIR radiative transfer model based on the sky view factor was developed. Combining with the atmospheric radiative transfer model MODTRAN 5.2, a nonlinear generalized split-window algorithm suitable for high spatial resolution MLST retrieval was constructed and applied to Landsat-9 TIRS-2 satellite TIR remote sensing data. The analysis results indicate that neglecting the topographic and adjacency effects would lead to significant discrepancies in LST retrieval, with simulated data showing LST differences of up to 2.5 K. Furthermore, due to the lack of measured MLST in the field, the MLST accuracy obtained by this retrieval method was indirectly validated using the currently recognized highest-accuracy forward 3D radiative transfer model DART. The MLST and emissivity were input into the DART model to simulate the brightness temperature at the top of the atmosphere (TOA) of Landsat-9 band 10, and compared with the brightness temperature at TOA of Landsat-9 band 10. The RMSE (Root Mean Square Error) for the two subregions was 0.50 and 0.61 K, respectively, indicating that the method proposed can retrieve high-precision MLST. |
| WOS关键词 | SPLIT-WINDOW ALGORITHM ; SKY-VIEW FACTOR ; DIRECTIONAL EMISSIVITY ; TIBETAN PLATEAU ; RADIATION ; MODEL ; SCATTERING |
| WOS研究方向 | Geology |
| WOS记录号 | WOS:001306203500001 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/207906]  |
| 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, Bohui |
| 作者单位 | 1.Chinese Acad Agr Sci, Inst Agr Resources & Reg Planning, Key Lab Agr Remote Sensing, Minist Agr & Rural Affairs, Beijing 100081, 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.Dept Educ Yunnan Prov, Key Lab Plateau Remote Sensing, Kunming 650093, Peoples R China 4.Kunming Univ Sci & Technol, Fac Land Resources Engn, Kunming 650093, Peoples R China |
| 推荐引用方式 GB/T 7714 | He, Zhiwei,Tang, Bohui,Li, Zhaoliang. Retrieval of high spatial resolution mountainous land surface temperature considering topographic and adjacency effects[J]. SCIENCE CHINA-EARTH SCIENCES,2024,N/A. |
| APA | He, Zhiwei,Tang, Bohui,&Li, Zhaoliang.(2024).Retrieval of high spatial resolution mountainous land surface temperature considering topographic and adjacency effects.SCIENCE CHINA-EARTH SCIENCES,N/A. |
| MLA | He, Zhiwei,et al."Retrieval of high spatial resolution mountainous land surface temperature considering topographic and adjacency effects".SCIENCE CHINA-EARTH SCIENCES N/A(2024). |
入库方式： OAI收割
来源：地理科学与资源研究所
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