Empirical Estimation of Near-Surface Air Temperature in China from MODIS LST Data by Considering Physiographic Features

doi:10.3390/rs8080629

	Empirical Estimation of Near-Surface Air Temperature in China from MODIS LST Data by Considering Physiographic Features
	Lin, Xiaohui 1; Zhang, Wen 2; Huang, Yao; Sun, Wenjuan ; Han, Pengfei 1,2; Yu, Lingfei ; Sun, Feifei
	2016
发表期刊	REMOTE SENSING
卷号	8 期号:8
摘要	Spatially and temporally resolved observations of near-surface air temperatures (Ta, 1.5-2 m above ground) are essential for understanding hydrothermal circulation at the land-atmosphere interface. However, the uneven spatial distribution of meteorological stations may not effectively capture the true nature of the overall climate pattern. Several studies have attempted to retrieve spatially continuous Ta from remotely sensed and continuously monitored Land Surface Temperature (LST). However, the topographical control of the relationship between LST and Ta in regions with complex topographies and highly variable weather station densities is poorly understood. The aim of this study is to improve the accuracy of Ta estimations from the Moderate Resolution Imaging Spectroradiometer (MODIS) LST via parameterization of the physiographic variables according to the terrain relief. The performances of both Terra and Aqua MODIS LST in estimating Ta have been explored in China. The results indicated that the best agreement was found between Terra nighttime LST (LSTmodn) and the observed Ta in China. In flat terrain areas, the LSTmodn product is significantly linearly correlated with Ta (R-2 > 0.80), while, in mountainous areas, the LSTmodn-Ta relationship differed significantly from simple linear correlation. By taking the physiographic features into account, including the seasonal vegetation cover (NDVI), the altitudinal gradient (RDLS), and the ambient absolute humidity (AH), the accuracy of the estimation was substantially improved. The study results indicated that the relevant environmental factors must be considered when interpreting the spatiotemporal variation of the surface energy flux over complex topography.
关键词	land surface temperature air temperature complex topography MODIS
学科领域	Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
DOI	10.3390/rs8080629
收录类别	SCI
语种	英语
WOS关键词	ESTIMATING DAILY MAXIMUM ; TIBETAN PLATEAU ; ECOHYDROLOGICAL CONTROLS ; VAPOR-PRESSURE ; ENERGY BUDGET ; LAPSE RATES ; WATER-VAPOR ; LAND-COVER ; MINIMUM ; VARIABILITY
WOS研究方向	Science Citation Index Expanded (SCI-EXPANDED)
WOS记录号	WOS:000382458700016
出版者	MDPI
文献子类	Article
出版地	BASEL
EISSN	2072-4292
资助机构	National Basic Research Program of China (973 Program)National Basic Research Program of China [2014CB954303] ; National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [41321064, 41573069]
作者邮箱	linxiaohui@ibcas.ac.cn ; zhw@mail.iap.ac.cn ; huangyao@ibcas.ac.cn ; sunwj@ibcas.ac.cn ; pfhan@mail.iap.ac.cn ; yulf@ibcas.ac.cn ; sunff@lreis.ac.cn
作品OA属性	Green Submitted, gold
引用统计	被引频次：38[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ibcas.ac.cn/handle/2S10CLM1/25094
专题	植被与环境变化国家重点实验室
作者单位	1.Chinese Acad Sci, Inst Bot, State Key Lab Vegetat & Environm Change, Beijing 100093, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 3.Chinese Acad Sci, Inst Atmospher Phys, LAPC, Beijing 100029, Peoples R China
推荐引用方式 GB/T 7714	Lin, Xiaohui,Zhang, Wen,Huang, Yao,et al. Empirical Estimation of Near-Surface Air Temperature in China from MODIS LST Data by Considering Physiographic Features[J]. REMOTE SENSING,2016,8(8).
APA	Lin, Xiaohui.,Zhang, Wen.,Huang, Yao.,Sun, Wenjuan.,Han, Pengfei.,...&Sun, Feifei.(2016).Empirical Estimation of Near-Surface Air Temperature in China from MODIS LST Data by Considering Physiographic Features.REMOTE SENSING,8(8).
MLA	Lin, Xiaohui,et al."Empirical Estimation of Near-Surface Air Temperature in China from MODIS LST Data by Considering Physiographic Features".REMOTE SENSING 8.8(2016).

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