@Article{Li2019,
author="Li, Mingsong
and Zhou, Ji
and Peng, Zhixing
and Liu, Shaomin
and G{\"o}ttsche, Frank-Michael
and Zhang, Xiaodong
and Song, Lisheng",
title="Component radiative temperatures over sparsely vegetated surfaces and their potential for upscaling land surface temperature",
journal="Agricultural and Forest Meteorology",
year="2019",
volume="276-277",
keywords="Component temperature;Land surface temperature upscaling;Scene model;Multi-scale observation;Heihe River basin",
abstract="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...",
issn="0168-1923"
}