Hubei Key Laboratory of Quantitative Remote Sensing of Land and Atmosphere, School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, 430079, China
Jockey Club STEM Lab of Quantitative Remote Sensing, Department of Geography, University of Hong Kong, Hong Kong, 999077, China
Bo Jiang
State Key Laboratory of Remote Sensing Science, Faculty of Geographical Science, Beijing Normal University, Beijing, 100875, China
Beijing Engineering Research Center for Global Land Remote Sensing Products, Faculty of Geographical Science, Beijing Normal University, Beijing, 100875, China
Hubei Key Laboratory of Quantitative Remote Sensing of Land and Atmosphere, School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, 430079, China
Feng Tian
Hubei Key Laboratory of Quantitative Remote Sensing of Land and Atmosphere, School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, 430079, China
Jockey Club STEM Lab of Quantitative Remote Sensing, Department of Geography, University of Hong Kong, Hong Kong, 999077, China
Yichuan Ma
Jockey Club STEM Lab of Quantitative Remote Sensing, Department of Geography, University of Hong Kong, Hong Kong, 999077, China
Fengjiao Zhang
Hubei Key Laboratory of Quantitative Remote Sensing of Land and Atmosphere, School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, 430079, China
Husheng Fang
Hubei Key Laboratory of Quantitative Remote Sensing of Land and Atmosphere, School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, 430079, China
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This paper describes 1 km daily mean land surface sensible heat flux (H) and land surface–air temperature difference (Ts-a) datasets on the global scale during 2000–2020. The datasets were developed using a data-driven approach and rigorously validated against in-situ observations and existing H and Ts-a datasets, demonstrating both high accuracy and exceptional spatial resolution.
This paper describes 1 km daily mean land surface sensible heat flux (H) and land surface–air...