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REMOTE SENSING FOR LAND & RESOURCES    2017, Vol. 29 Issue (2) : 207-214     DOI: 10.6046/gtzyyg.2017.02.30
Contents |
An analysis of land surface temperature (LST) and its influencing factors in summer in western Sichuan Plateau: A case study of Xichang City
WEN Lujun1, 2, PENG Wenfu1, 2, YANG Huarong1, 2, WANG Huaiying1, 2, DONG Lijun1, 2, SHANG Xue1, 2
1. Key Lab of Land Resources Evaluation and Monitoring in Southwest, Ministry of Education, Chengdu 610068, China;
2. Institute Geography and Resources Science, Sichuan Normal University, Chengdu 610068, China
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Abstract  

Revealing the spatial characteristics of land surface temperature (LST) and its influencing factors is of great significance for environmental changes research. Many studies have examined the relationship between the single factor and LST, but the understanding of the influence of many factors on LST under the background of sunny slope and at the back of the light remains elusive. In this study, the authors divided the area into sunny slope and the back of the light, and retrieved LST based on atmospheric correction method, together with land use changes determined by using remote sensing data. The authors constructed the regression equation between the LST and many factors, such as normalized moisture index (NDMI), normalized difference vegetation index (NDVI), slope, aspect and DEM, for evaluating the influence on LST under the background of sunny slope and at the back of the light. The results show that LST in sunny slope was higher than that at the back of the light within the same elevation and land use, LST decreases with increasing altitude, and the LST in different land uses are not the same. The influencing factors of LST in sunny slope and at the back of the light were NDMI and DEM, the influence degree on NDMI under sunny condition is larger than that at the back of the light. The rest of the impact factors are low, the influence degrees under the sunny condition on NDVI and the slope at the back of the light were the largest. Therefore, the sunny slope and at the back of the light resulted in spatial pattern change of LST in western Sichuan plateau, and the influence degree of its impact factors has obvious primary and secondary order difference.

Keywords remote sensing data      MODIS      NDVI      phenological parameters      vegetation classification     
Issue Date: 03 May 2017
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ZHANG Yanbin
AN Nan
LIU Peiyan
JIA Kun
YAO Yunjun
Cite this article:   
ZHANG Yanbin,AN Nan,LIU Peiyan, et al. An analysis of land surface temperature (LST) and its influencing factors in summer in western Sichuan Plateau: A case study of Xichang City[J]. REMOTE SENSING FOR LAND & RESOURCES, 2017, 29(2): 207-214.
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https://www.gtzyyg.com/EN/10.6046/gtzyyg.2017.02.30     OR     https://www.gtzyyg.com/EN/Y2017/V29/I2/207

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