%0 Journal Article
%A Mingsong Li
%A Ji Zhou
%A Zhixing Peng
%A Shaomin Liu
%A Frank-Michael Göttsche
%A Xiaodong Zhang
%A Lisheng Song
%+ School of Resources and Environment, Center for Information Geoscience, University of Electronic Science and Technology of China, Chengdu, 611731, China;;Faculty of Geographical Science and State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing, 100875, China;;Institute of Meteorology and Climate Research, Karlsruhe Institute of Technology, Karlsruhe, 76344, Germany;;School of Geographical Sciences, Southwest University, Chongqing, 400715, China
%T Component radiative temperatures over sparsely vegetated surfaces and their potential for upscaling land surface temperature
%J Agricultural and Forest Meteorology
%D 2019
%V 276-277
%K Component temperature;Land surface temperature upscaling;Scene model;Multi-scale observation;Heihe River basin
%X Abstract(#br)Ground measured component radiative temperatures are basic inputs for modelling energy and hydrological processes and for simulating land surface temperature (LST) as “viewed” by remote sensors. However, knowledge of factors affecting the component temperatures and about their potential for upscaling LST over sparsely vegetated surfaces with high heterogeneity is still lacking. Here, a MU lti- S cale O bservation E xperiment on land S urface temperature (MUSOES) was performed under HiWATER over an arid sparsely vegetated surface. Component temperatures were obtained with different instruments on multiple spatial scales; for LST upscaling, a three-dimensional scene model was employed for two forest stations (MFS and PFS) and a two-dimensional model for a shrub station (SUP). Results show that intrinsic characteristics contribute to the temperature variability between different components and even within a single component. Using a thermal infrared (TIR) imager at MFS, average temperature differenc...
%@ 0168-1923
%W CNKI