中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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
DOI10.3390/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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