An Analysis of Land Surface Temperature Trends in the Central Himalayan Region Based on MODIS Products | |
Zhao, Wei1,2![]() ![]() ![]() ![]() | |
Corresponding Author | Li, Ainong(ainongli@imde.ac.cn) |
2019-04-02 | |
Source Publication | REMOTE SENSING
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ISSN | 2072-4292 |
Volume | 11Issue:8Pages:19 |
Subtype | Article |
Abstract | The 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. |
Keyword | Land surface temperature annual temperature cycle trend analysis Terra MODIS climate change |
DOI | 10.3390/rs11080900 |
Indexed By | SCI |
WOS Keyword | KOSHI RIVER-BASIN ; CLIMATE-CHANGE ; SNOW COVER ; SOIL-MOISTURE ; NEPAL ; WATER ; VARIABILITY ; VALIDATION ; IMPACTS ; LST |
Language | 英语 |
Quartile | 2区 |
Funding Project | National 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] |
TOP | 否 |
WOS Research Area | Remote Sensing |
WOS Subject | Remote Sensing |
WOS ID | WOS:000467646800010 |
Funding Organization | National 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 |
Publisher | MDPI |
Citation statistics | |
Document Type | 期刊论文 |
Identifier | http://ir.imde.ac.cn/handle/131551/26238 |
Collection | 数字山地与遥感应用中心 山地灾害与地表过程重点实验室 山地表生过程与生态调控重点实验室 |
Corresponding Author | Li, Ainong |
Affiliation | 1.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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