中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Investigating Seasonal Effects of Dominant Driving Factors on Urban Land Surface Temperature in a Snow-Climate City in China

文献类型:期刊论文

作者Yang, Chaobin2; Yan, Fengqin1; Lei, Xuelei2; Ding, Xiuli2; Zheng, Yue2; Liu, Lifeng2; Zhang, Shuwen3
刊名REMOTE SENSING
出版日期2020-09-01
卷号12期号:18页码:19
关键词land surface temperature driving factors seasonal comparison snow climate Changchun city
DOI10.3390/rs12183006
通讯作者Yang, Chaobin(yangchaobin@sdut.edu.cn)
英文摘要Land surface temperature (LST) is a crucial parameter in surface urban heat island (SUHI) studies. A better understanding of the driving mechanisms, influencing variations in LST dynamics, is required for the sustainable development of a city. This study used Changchun, a city in northeast China, as an example, to investigate the seasonal effects of different dominant driving factors on the spatial patterns of LST. Twelve Landsat 8 images were used to retrieve monthly LST, to characterize the urban thermal environment, and spectral mixture analysis was employed to estimate the effect of the driving factors, and correlation and linear regression analyses were used to explore their relationships. Results indicate that, (1) the spatial pattern of LST has dramatic monthly and seasonal changes. August has the highest mean LST of 38.11 degrees C, whereas December has the lowest (-19.12 degrees C). The ranking of SUHI intensity is as follows: summer (4.89 degrees C) > winter with snow cover (1.94 degrees C) > spring (1.16 degrees C) > autumn (0.89 degrees C) > winter without snow cover (-1.24 degrees C). (2) The effects of driving factors also have seasonal variations. The proportion of impervious surface area (ISA) in summer (49.01%) is slightly lower than those in spring (56.64%) and autumn (50.85%). Almost half of the area is covered with snow (43.48%) in winter. (3) The dominant factors are quite different for different seasons. LST possesses a positive relationship with ISA for all seasons and has the highest Pearson coefficient for summer (r = 0.89). For winter, the effect of vegetation on LST is not obvious, and snow becomes the dominant driving factor. Despite its small area proportion, water has the strongest cooling effect from spring to autumn, and has a warming effect in winter. (4) Human activities, such as agricultural burning, harvest, and different choices of crop species, could also affect the spatial patterns of LST.
WOS关键词HEAT-ISLAND ; TEMPORAL CHARACTERISTICS ; VEGETATION INDEX ; SPATIAL-PATTERN ; THERMAL COMFORT ; AIR-TEMPERATURE ; RESOLUTION ; IMPACTS ; URBANIZATION ; INDICATORS
资助项目Shandong Provincial Natural Science Foundation, China[ZR2019BD036]
WOS研究方向Remote Sensing
语种英语
WOS记录号WOS:000581341800001
出版者MDPI
资助机构Shandong Provincial Natural Science Foundation, China
源URL[http://ir.igsnrr.ac.cn/handle/311030/157155]  
专题中国科学院地理科学与资源研究所
通讯作者Yang, Chaobin
作者单位1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China
2.Shandong Univ Technol, Sch Civil & Architectural Engn, Zibo 255000, Peoples R China
3.Chinese Acad Sci, Northeast Inst Geog & Agroecol, Changchun 130102, Peoples R China
推荐引用方式
GB/T 7714
Yang, Chaobin,Yan, Fengqin,Lei, Xuelei,et al. Investigating Seasonal Effects of Dominant Driving Factors on Urban Land Surface Temperature in a Snow-Climate City in China[J]. REMOTE SENSING,2020,12(18):19.
APA Yang, Chaobin.,Yan, Fengqin.,Lei, Xuelei.,Ding, Xiuli.,Zheng, Yue.,...&Zhang, Shuwen.(2020).Investigating Seasonal Effects of Dominant Driving Factors on Urban Land Surface Temperature in a Snow-Climate City in China.REMOTE SENSING,12(18),19.
MLA Yang, Chaobin,et al."Investigating Seasonal Effects of Dominant Driving Factors on Urban Land Surface Temperature in a Snow-Climate City in China".REMOTE SENSING 12.18(2020):19.

入库方式: OAI收割

来源:地理科学与资源研究所

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