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An Analysis of Land Surface Temperature Trends in the Central Himalayan Region Based on MODIS Products
Zhao, Wei1,2; He, Juelin1,3; Wu, Yanhong1,2; Xiong, Donghong1,2; Wen, Fengping1,4; Li, Ainong1,2
Corresponding AuthorLi, Ainong(ainongli@imde.ac.cn)
2019-04-02
Source PublicationREMOTE SENSING
ISSN2072-4292
Volume11Issue:8Pages:19
AbstractThe scientific community has widely reported the impacts of climate change on the Central Himalaya. To qualify and quantify these effects, long-term land surface temperature observations in both the daytime and nighttime, acquired by the Moderate Resolution Imaging Spectroradiometer from 2000 to 2017, were used in this study to investigate the spatiotemporal variations and their changing mechanism. Two periodic parameters, the mean annual surface temperature (MAST) and the annual maximum temperature (MAXT), were derived based on an annual temperature cycle model to reduce the influences from the cloud cover and were used to analyze their trend during the period. The general thermal environment represented by the average MAST indicated a significant spatial distribution pattern along with the elevation gradient. Behind the clear differences in the daytime and nighttime temperatures at different physiographical regions, the trend test conducted with the Mann-Kendall (MK) method showed that most of the areas with significant changes showed an increasing trend, and the nighttime temperatures exhibited a more significant increasing trend than the daytime temperatures, for both the MAST and MAXT, according to the changing areas. The nighttime changing areas were more widely distributed (more than 28%) than the daytime changing areas (around 10%). The average change rates of the MAST and MAXT in the daytime are 0.102 degrees C/yr and 0.190 degrees C/yr, and they are generally faster than those in the nighttime (0.048 degrees C/yr and 0.091 degrees C/yr, respectively). The driving force analysis suggested that urban expansion, shifts in the courses of lowland rivers, and the retreat of both the snow and glacier cover presented strong effects on the local thermal environment, in addition to the climatic warming effect. Moreover, the strong topographic gradient greatly influenced the change rate and evidenced a significant elevation-dependent warming effect, especially for the nighttime LST. Generally, this study suggested that the nighttime temperature was more sensitive to climate change than the daytime temperature, and this general warming trend clearly observed in the central Himalayan region could have important influences on local geophysical, hydrological, and ecological processes.
KeywordLand surface temperature annual temperature cycle trend analysis Terra MODIS climate change
DOI10.3390/rs11080900
Indexed BySCI
WOS KeywordKOSHI RIVER-BASIN ; CLIMATE-CHANGE ; SNOW COVER ; SOIL-MOISTURE ; NEPAL ; WATER ; VARIABILITY ; VALIDATION ; IMPACTS ; LST
Language英语
Funding ProjectNational Natural Science Foundation of China[41771409] ; 135 Strategic Program of the Institute of Mountain Hazards and Environment, CAS[SDS-135-1708] ; Strategic Priority Research Program of the Chinese Academy of Sciences[XDA20020401] ; Hundred Young Talents Program of the Institute of Mountain Hazards and Environment[SDSQB-2015-02] ; CAS Light of West China Program ; Youth Innovation Promotion Association CAS[2016333]
WOS Research AreaRemote Sensing
WOS SubjectRemote Sensing
WOS IDWOS:000467646800010
Funding OrganizationNational Natural Science Foundation of China ; 135 Strategic Program of the Institute of Mountain Hazards and Environment, CAS ; Strategic Priority Research Program of the Chinese Academy of Sciences ; Hundred Young Talents Program of the Institute of Mountain Hazards and Environment ; CAS Light of West China Program ; Youth Innovation Promotion Association CAS
PublisherMDPI
Citation statistics
Document Type期刊论文
Identifierhttp://ir.imde.ac.cn/handle/131551/26238
Collection中国科学院水利部成都山地灾害与环境研究所
Corresponding AuthorLi, Ainong
Affiliation1.Chinese Acad Sci, Inst Mt Hazards & Environm, Chengdu 610041, Sichuan, Peoples R China
2.Tribhuvan Univ, Chinese Acad Sci, Kathmandu Ctr Res & Educ, Beijing 100101, Peoples R China
3.Chengdu Univ Technol, Coll Earth Sci, Chengdu 610059, Sichuan, Peoples R China
4.Univ Chinese Acad Sci, Beijing 100049, 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
Zhao, Wei,He, Juelin,Wu, Yanhong,et al. An Analysis of Land Surface Temperature Trends in the Central Himalayan Region Based on MODIS Products[J]. REMOTE SENSING,2019,11(8):19.
APA Zhao, Wei,He, Juelin,Wu, Yanhong,Xiong, Donghong,Wen, Fengping,&Li, Ainong.(2019).An Analysis of Land Surface Temperature Trends in the Central Himalayan Region Based on MODIS Products.REMOTE SENSING,11(8),19.
MLA Zhao, Wei,et al."An Analysis of Land Surface Temperature Trends in the Central Himalayan Region Based on MODIS Products".REMOTE SENSING 11.8(2019):19.
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