Retrieval of Plateau Lake Water Surface Temperature from UAV Thermal Infrared Data
文献类型:期刊论文
作者 | Sima, Ouyang1,2; Tang, Bo-Hui1,2,3; He, Zhi-Wei1,2; Wang, Dong1,2; Zhao, Jun-Li1,2 |
刊名 | ATMOSPHERE |
出版日期 | 2024 |
卷号 | 15期号:1页码:15 |
关键词 | unmanned aerial vehicle (UAV) plateau lakes lake water surface temperature (LWST) lake water surface emissivity (LWSE) radiative transfer model |
DOI | 10.3390/atmos15010099 |
通讯作者 | Tang, Bo-Hui(tangbh@kust.edu.cn) |
英文摘要 | The lake water surface temperature (LWST) is a critical parameter influencing lake ecosystem dynamics and addressing challenges posed by climate change. Traditional point measurement techniques exhibit limitations in providing comprehensive LWST data. However, the emergence of satellite remote sensing and unmanned aerial vehicle (UAV) Thermal Infrared (TIR) technology has opened new possibilities. This study presents an approach for retrieving plateau lake LWST (p-LWST) from UAV TIR data. The UAV TIR dataset, obtained from the DJI Zenmuse H20T sensor, was stitched together to form an image of brightness temperature (BT). Atmospheric parameters for atmospheric correction were acquired by combining the UAV dataset with the ERA5 reanalysis data and MODTRAN5.2. Lake Water Surface Emissivity (LWSE) spectral curves were derived using 102 hand-portable FT-IR spectrometer (102F) measurements, along with the sensor's spectral response function, to obtain the corresponding LWSE. Using estimated atmospheric parameters, LWSE, and UAV BT, the un-calibrated LWST was calculated through the TIR radiative transfer model. To validate the LWST retrieval accuracy, the FLIR Infrared Thermal Imager T610 and the Fluke 51-II contact thermometer were utilized to estimate on-point LWST. This on-point data was employed for cross-calibration and verification. In the study area, the p-LWST method retrieved LWST ranging from 288 K to 295 K over Erhai Lake in the plateau region, with a final retrieval accuracy of 0.89 K. Results demonstrate that the proposed p-LWST method is effective for LWST retrieval, offering technical and theoretical support for monitoring climate change in plateau lakes. |
WOS关键词 | EMISSIVITY ; ALGORITHM |
资助项目 | National Natural Science Foundation of China ; Forest Fire Brigade of Dali Bai Autonomous Prefecture ; Erhai Lake Management Bureau of Dali Bai Autonomous Prefecture in Yunnan Province, China |
WOS研究方向 | Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences |
语种 | 英语 |
出版者 | MDPI |
WOS记录号 | WOS:001149383400001 |
资助机构 | National Natural Science Foundation of China ; Forest Fire Brigade of Dali Bai Autonomous Prefecture ; Erhai Lake Management Bureau of Dali Bai Autonomous Prefecture in Yunnan Province, China |
源URL | [http://ir.igsnrr.ac.cn/handle/311030/202393] |
专题 | 中国科学院地理科学与资源研究所 |
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.Dept Educ Yunnan Prov, Key Lab Plateau Remote Sensing, Kunming 650093, Peoples R China 3.Chinese Acad Sci, State Key Lab Resources & Environm Informat Syst, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China |
推荐引用方式 GB/T 7714 | Sima, Ouyang,Tang, Bo-Hui,He, Zhi-Wei,et al. Retrieval of Plateau Lake Water Surface Temperature from UAV Thermal Infrared Data[J]. ATMOSPHERE,2024,15(1):15. |
APA | Sima, Ouyang,Tang, Bo-Hui,He, Zhi-Wei,Wang, Dong,&Zhao, Jun-Li.(2024).Retrieval of Plateau Lake Water Surface Temperature from UAV Thermal Infrared Data.ATMOSPHERE,15(1),15. |
MLA | Sima, Ouyang,et al."Retrieval of Plateau Lake Water Surface Temperature from UAV Thermal Infrared Data".ATMOSPHERE 15.1(2024):15. |
入库方式: OAI收割
来源:地理科学与资源研究所
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