Downscaling land surface temperature by using a multivariable random forest model: A case study for various land cover in China
Wan Li1, Li Ni2, Zhao-Liang Li3 and Hua Wu1, (1)State Key Laboratory of Resources and Environment Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences;University of Chinese Academy of Sciences, Beijing, Beijing, China, (2)Key Laboratory of Digital Earth Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China, (3)Chinese Academy of Agricultural Sciences, State Key Laboratory of Efficient Utilization of Arid and Semi-arid Arable Land in Northern China, Institute of Agricultural Resources and Regional Planning, Beijing, China
