TY  - JOUR
AU  - Li, Mingsong
AU  - Zhou, Ji
AU  - Peng, Zhixing
AU  - Liu, Shaomin
AU  - Göttsche, Frank-Michael
AU  - Zhang, Xiaodong
AU  - Song, Lisheng
PY  - 2019
DA  - 2019//
TI  - Component radiative temperatures over sparsely vegetated surfaces and their potential for upscaling land surface temperature
JO  - Agricultural and Forest Meteorology
VL  - 276-277
KW  - Component temperature;Land surface temperature upscaling;Scene model;Multi-scale observation;Heihe River basin
AB  - 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...
SN  - 0168-1923
ID  - Li2019
ER  -