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The impact of the terrain effect on land surface temperature variation based on Landsat-8 observations in mountainous areas
He, Juelin1,2; Zhao, Wei1; Li, Ainong1; Wen, Fengping1,3; Yu, Daijun2
Corresponding AuthorZhao, Wei(zhaow@imde.ac.cn)
2019
Source PublicationINTERNATIONAL JOURNAL OF REMOTE SENSING
ISSN0143-1161
Volume40Issue:5-6Pages:1808-1827
SubtypeArticle
Contribution Rank1
AbstractIn mountainous areas, land surface temperature (LST) exhibits a high spatial heterogeneity due to the influences from the changes in surface topographic factors (elevation, aspect, and slope), vegetation coverage, surface solar radiation, and other factors. Two small river basins located in the northeast and southwest of China were selected as the study areas to perform quantitative analysis and specify the terrain effect on the LST. Both summer and winter images were acquired from Landsat-8 for each study area. The LST variability was assessed by applying a linear regression against the key factors to discriminate the significance of them. The results illustrated the strong inverse relationship between the LST and the elevation for both study areas, with the LST lapse rate ranging from 7.6 to 13.8 degrees C km(-1), and the summer images had a higher value than the winter images. Furthermore, regarding the effects from the changes in surface aspect and slope, the analysis at different aspects indicated a similar directional pattern for the lapse rate and showed that the southern aspect usually had the highest rate in both study areas. In addition, the lapse rate had an obviously negative relationship with the increase in the local solar zenith angle. Moreover, the condition of the vegetation cover was also a key factor that influenced the lapse rate by changing the thermal property of the land surface. Finally, the solar radiation effect on LST was investigated by analysing the relationship between the LST and the cumulative incoming solar radiation (CSR) at different elevation ranges. The average statistics from the linear regression between the LST and the CSR clearly indicated a different function of solar radiation in different seasons. The CSR effect on the LST was stronger in winter than in summer, and its impact decreased with the rise in the elevation according to the changing rate derived by the linear regression. Hence, this study provides valuable insights into the complexity of the spatio-temporal variability in LST and its driving factors, which can be used in future studies to analyse the response of the ecosystem to the changing climate.
DOI10.1080/01431161.2018.1466082
Indexed BySCI
WOS KeywordSPLIT-WINDOW ALGORITHM ; SOIL-MOISTURE ; VEGETATION INDEX ; AIR-TEMPERATURE ; SINGLE-CHANNEL ; LAPSE RATES ; EVAPOTRANSPIRATION ; RETRIEVAL ; TIRS ; PRECIPITATION
Language英语
Funding ProjectNational Natural Science Foundation of China[41771409] ; National Natural Science Foundation of China[41631180] ; Hundred Young Talents Program of the Institute of Mountain Hazards and Environment[SDSQB-2015-02] ; National Key Research and Development Program of China[2016YFA0600103] ; 135 Strategic Program of the Institute of Mountain Hazards and Environment, CAS[SDS-135-1708] ; Youth Innovation Promotion Association of the Chinese Academy of Sciences[2016333]
WOS Research AreaRemote Sensing ; Imaging Science & Photographic Technology
WOS SubjectRemote Sensing ; Imaging Science & Photographic Technology
WOS IDWOS:000464043900014
Funding OrganizationNational Natural Science Foundation of China ; Hundred Young Talents Program of the Institute of Mountain Hazards and Environment ; National Key Research and Development Program of China ; 135 Strategic Program of the Institute of Mountain Hazards and Environment, CAS ; Youth Innovation Promotion Association of the Chinese Academy of Sciences
PublisherTAYLOR & FRANCIS LTD
EI Accession NumberTAYLOR & FRANCIS LTD
Citation statistics
Cited Times:8[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.imde.ac.cn/handle/131551/25881
Collection中国科学院水利部成都山地灾害与环境研究所
Corresponding AuthorZhao, Wei
Affiliation1.Chinese Acad Sci, Inst Mt Hazards & Environm, Chengdu 610041, Sichuan, Peoples R China;
2.Chengdu Univ Technol, Coll Earth Sci, Chengdu, Sichuan, Peoples R China;
3.Univ Chinese Acad Sci, Beijing, Peoples R China
First Author Affilication中国科学院水利部成都山地灾害与环境研究所
Corresponding Author Affilication中国科学院水利部成都山地灾害与环境研究所
Recommended Citation
GB/T 7714
He, Juelin,Zhao, Wei,Li, Ainong,et al. The impact of the terrain effect on land surface temperature variation based on Landsat-8 observations in mountainous areas[J]. INTERNATIONAL JOURNAL OF REMOTE SENSING,2019,40(5-6):1808-1827.
APA He, Juelin,Zhao, Wei,Li, Ainong,Wen, Fengping,&Yu, Daijun.(2019).The impact of the terrain effect on land surface temperature variation based on Landsat-8 observations in mountainous areas.INTERNATIONAL JOURNAL OF REMOTE SENSING,40(5-6),1808-1827.
MLA He, Juelin,et al."The impact of the terrain effect on land surface temperature variation based on Landsat-8 observations in mountainous areas".INTERNATIONAL JOURNAL OF REMOTE SENSING 40.5-6(2019):1808-1827.
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