干旱区生态环境知识资源中心(Arid): Component radiative temperatures over sparsely vegetated surfaces and their potential for upscaling land surface temperature

Arid

DOI	10.1016/j.agrformet.2019.05.031
	Component radiative temperatures over sparsely vegetated surfaces and their potential for upscaling land surface temperature
	Li, Mingsong 1; Zhou, Ji 1; Peng, Zhixing 1; Liu, Shaomin 2,3; Goettsche, Frank-Michael 4; Zhang, Xiaodong 1; Song, Lisheng 5
通讯作者	Zhou, Ji
来源期刊	AGRICULTURAL AND FOREST METEOROLOGY
ISSN	0168-1923
EISSN	1873-2240
出版年	2019
卷号	276
英文摘要	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 MUlti-Scale Observation Experiment on land Surface 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 difference of 24.9 K between sunlit bare soil and tree canopy was found; different components exhibit different internal temperature differences at direction-level and pixel-level. Furthermore, illumination conditions, viewing directions, and instrument types significantly affected the measured component temperatures. The measurements of the TIR radiometer and the imager can deviate considerably (e.g. 14.9 K for sunlit bare soil at MFS). When the longwave radiometers were selected as target sensors, the component temperatures measured by the imager exhibit good potential for LST upscaling: the upscaled LST has MBD/RMSD values of 2.0 K/2.3 K at MFS and 2.0 K/2.5 K at PFS. The TIR radiometer's measurements introduce large uncertainties into LST upscaling at MFS and PFS, but result in good accuracy at SUP, mainly due to its simpler land cover and surface structure. Findings from this study can benefit our understanding of factors affecting observations of component temperatures and the LST upscaling process and are, therefore, relevant for further studying the evaluation of satellite LST products.
英文关键词	Component temperature Land surface temperature upscaling Scene model Multi-scale observation Heihe River basin
类型	Article
语种	英语
国家	Peoples R China ; Germany
收录类别	SCI-E
WOS记录号	WOS:000500195900003
WOS关键词	RADIOMETRIC TEMPERATURES ; VIEW ANGLES ; VALIDATION ; SOIL ; MODEL ; CANOPIES ; PRODUCTS ; EVAPOTRANSPIRATION ; ANISOTROPY ; EMISSIVITY
WOS类目	Agronomy ; Forestry ; Meteorology & Atmospheric Sciences
WOS研究方向	Agriculture ; Forestry ; Meteorology & Atmospheric Sciences
EI主题词	2019-10-15
来源机构	北京师范大学
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/310286
作者单位	1.Univ Elect Sci & Technol China, Ctr Informat Geosci, Sch Resources & Environm, Chengdu 611731, Sichuan, Peoples R China; 2.Beijing Normal Univ, Fac Geog Sci, Beijing 100875, Peoples R China; 3.Beijing Normal Univ, State Key Lab Earth Surface Proc & Resource Ecol, Beijing 100875, Peoples R China; 4.Karlsruhe Inst Technol, Inst Meteorol & Climate Res, D-76344 Karlsruhe, Germany; 5.Southwest Univ, Sch Geog Sci, Chongqing 400715, Peoples R China
推荐引用方式 GB/T 7714	Li, Mingsong,Zhou, Ji,Peng, Zhixing,et al. Component radiative temperatures over sparsely vegetated surfaces and their potential for upscaling land surface temperature[J]. 北京师范大学,2019,276.
APA	Li, Mingsong.,Zhou, Ji.,Peng, Zhixing.,Liu, Shaomin.,Goettsche, Frank-Michael.,...&Song, Lisheng.(2019).Component radiative temperatures over sparsely vegetated surfaces and their potential for upscaling land surface temperature.AGRICULTURAL AND FOREST METEOROLOGY,276.
MLA	Li, Mingsong,et al."Component radiative temperatures over sparsely vegetated surfaces and their potential for upscaling land surface temperature".AGRICULTURAL AND FOREST METEOROLOGY 276(2019).