{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,27]],"date-time":"2026-07-27T18:23:06Z","timestamp":1785176586637,"version":"3.55.0"},"reference-count":48,"publisher":"MDPI AG","issue":"8","license":[{"start":{"date-parts":[[2019,4,13]],"date-time":"2019-04-13T00:00:00Z","timestamp":1555113600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["41771409"],"award-info":[{"award-number":["41771409"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Strategic Priority Research Program of the Chinese Academy of Sciences","award":["XDA20020401"],"award-info":[{"award-number":["XDA20020401"]}]},{"name":"135 Strategic Program of the Institute of Mountain Hazards and Environment, CAS","award":["SDS-135-1708"],"award-info":[{"award-number":["SDS-135-1708"]}]},{"name":"Hundred Young Talents Program of the Institute of Mountain Hazards and Environment","award":["SDSQB-2015-02"],"award-info":[{"award-number":["SDSQB-2015-02"]}]},{"name":"CAS &quot;Light of West China&quot; Program","award":["Y9R2140149"],"award-info":[{"award-number":["Y9R2140149"]}]},{"DOI":"10.13039\/501100004739","name":"Youth Innovation Promotion Association CAS","doi-asserted-by":"publisher","award":["2016333"],"award-info":[{"award-number":["2016333"]}],"id":[{"id":"10.13039\/501100004739","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>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 \u00b0C\/yr and 0.190 \u00b0C\/yr, and they are generally faster than those in the nighttime (0.048 \u00b0C\/yr and 0.091 \u00b0C\/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.<\/jats:p>","DOI":"10.3390\/rs11080900","type":"journal-article","created":{"date-parts":[[2019,4,15]],"date-time":"2019-04-15T11:15:58Z","timestamp":1555326958000},"page":"900","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":78,"title":["An Analysis of Land Surface Temperature Trends in the Central Himalayan Region Based on MODIS Products"],"prefix":"10.3390","volume":"11","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4839-6791","authenticated-orcid":false,"given":"Wei","family":"Zhao","sequence":"first","affiliation":[{"name":"Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu 610041, China"},{"name":"Kathmandu Center for Research and Education, Chinese Academy of Sciences-Tribhuvan University, Beijing 100101, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Juelin","family":"He","sequence":"additional","affiliation":[{"name":"Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu 610041, China"},{"name":"College of Earth Sciences, Chengdu University of Technology, Chengdu 610059, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yanhong","family":"Wu","sequence":"additional","affiliation":[{"name":"Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu 610041, China"},{"name":"Kathmandu Center for Research and Education, Chinese Academy of Sciences-Tribhuvan University, Beijing 100101, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Donghong","family":"Xiong","sequence":"additional","affiliation":[{"name":"Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu 610041, China"},{"name":"Kathmandu Center for Research and Education, Chinese Academy of Sciences-Tribhuvan University, Beijing 100101, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fengping","family":"Wen","sequence":"additional","affiliation":[{"name":"Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu 610041, China"},{"name":"University of Chinese Academy of Sciences, Beijing 100049, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ainong","family":"Li","sequence":"additional","affiliation":[{"name":"Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu 610041, China"},{"name":"Kathmandu Center for Research and Education, Chinese Academy of Sciences-Tribhuvan University, Beijing 100101, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2019,4,13]]},"reference":[{"key":"ref_1","unstructured":"Messerli, B. Global Change and the World\u2019s Mountains, International Mountain Society."},{"key":"ref_2","doi-asserted-by":"crossref","unstructured":"Khadka, N., Zhang, G., and Thakuri, S. (2018). Glacial Lakes in the Nepal Himalaya: Inventory and Decadal Dynamics (1977\u20132017). Remote Sens., 10.","DOI":"10.3390\/rs10121913"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"5549","DOI":"10.1111\/gcb.14428","article-title":"Moisture-mediated responsiveness of treeline shifts to global warming in the Himalayas","volume":"24","author":"Sigdel","year":"2018","journal-title":"Glob. Chang. Biol."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"595","DOI":"10.1007\/s11442-013-1031-9","article-title":"Climate change on the southern slope of Mt. Qomolangma (Everest) Region in Nepal since 1971","volume":"23","author":"Qi","year":"2013","journal-title":"J. Geogr. Sci."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"2775","DOI":"10.1175\/1520-0442(1999)012<2775:MTTITH>2.0.CO;2","article-title":"Maximum Temperature Trends in the Himalaya and Its Vicinity: An Analysis Based on Temperature Records from Nepal for the Period 1971\u20131994","volume":"12","author":"Shrestha","year":"1999","journal-title":"J. Clim."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"76","DOI":"10.1016\/j.jher.2015.12.001","article-title":"Impacts of climate change on the hydrological regime of the Koshi river basin in the Himalayan region","volume":"10","author":"Nepal","year":"2016","journal-title":"J. Hydro-Environ. Res."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"1066","DOI":"10.1002\/joc.4761","article-title":"Observed trends and changes in daily temperature and precipitation extremes over the Koshi river basin 1975\u20132010","volume":"37","author":"Shrestha","year":"2017","journal-title":"Int. J. Climatol."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"141","DOI":"10.1023\/A:1005696808953","article-title":"Anthropogenic, Climatic, and Hydrologic Trends in the Kosi Basin, Himalaya","volume":"47","author":"Sharma","year":"2000","journal-title":"Clim. Chang."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"266","DOI":"10.1002\/joc.4342","article-title":"Analysis of temperature projections in the Koshi River Basin, Nepal","volume":"36","author":"Agarwal","year":"2016","journal-title":"Int. J. Climatol."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"65","DOI":"10.1007\/s10113-010-0174-9","article-title":"Climate change in Nepal and its impact on Himalayan glaciers","volume":"11","author":"Shrestha","year":"2011","journal-title":"Reg. Environ. Chang."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"1382","DOI":"10.1126\/science.1183188","article-title":"Climate Change Will Affect the Asian Water Towers","volume":"328","author":"Immerzeel","year":"2010","journal-title":"Science"},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"2689","DOI":"10.1002\/2014JD022650","article-title":"Climatic uncertainty in Himalayan water towers","volume":"120","author":"Mishra","year":"2015","journal-title":"J. Geophys. Res. Atmos."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"14","DOI":"10.1016\/j.rse.2012.12.008","article-title":"Satellite-derived land surface temperature: Current status and perspectives","volume":"131","author":"Li","year":"2013","journal-title":"Remote Sens. Environ."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"7976","DOI":"10.1175\/JCLI-D-13-00591.1","article-title":"Impact of soil moisture\u2013atmosphere interactions on surface temperature distribution","volume":"27","author":"Berg","year":"2014","journal-title":"J. Clim."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"296","DOI":"10.1002\/met.287","article-title":"Remote sensing land surface temperature for meteorology and climatology: A review","volume":"18","author":"Tomlinson","year":"2011","journal-title":"Meteorol. Appl."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"189","DOI":"10.1002\/eco.129","article-title":"Topographical and ecohydrological controls on land surface temperature in an alpine catchment","volume":"3","author":"Bertoldi","year":"2010","journal-title":"Ecohydrology"},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"937","DOI":"10.1016\/j.scitotenv.2017.10.226","article-title":"Determination of annual and seasonal daytime and nighttime trends of MODIS LST over Greece\u2014Climate change implications","volume":"616\u2013617","author":"Eleftheriou","year":"2018","journal-title":"Sci. Total Environ."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"2915","DOI":"10.1073\/pnas.1315126111","article-title":"Afforestation in China cools local land surface temperature","volume":"111","author":"Peng","year":"2014","journal-title":"Proc. Natl. Acad. Sci. USA"},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"14372","DOI":"10.1002\/2016JD024969","article-title":"Potential and Actual impacts of deforestation and afforestation on land surface temperature","volume":"121","author":"Li","year":"2016","journal-title":"J. Geophys. Res. Atmos."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"024010","DOI":"10.1088\/1748-9326\/aa9e93","article-title":"Impacts of land cover transitions on surface temperature in China based on satellite observations","volume":"13","author":"Yuzhen","year":"2018","journal-title":"Environ. Res. Lett."},{"key":"ref_21","doi-asserted-by":"crossref","unstructured":"Bechtel, B. (2015). A New Global Climatology of Annual Land Surface Temperature. Remote Sens., 7.","DOI":"10.3390\/rs70302850"},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"876","DOI":"10.1109\/LGRS.2012.2185034","article-title":"Robustness of Annual Cycle Parameters to Characterize the Urban Thermal Landscapes","volume":"9","author":"Bechtel","year":"2012","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"65","DOI":"10.1016\/j.isprsjprs.2018.09.003","article-title":"Variability in annual temperature cycle in the urban areas of the United States as revealed by MODIS imagery","volume":"146","author":"Fu","year":"2018","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"600","DOI":"10.1126\/science.aac8083","article-title":"Biophysical climate impacts of recent changes in global forest cover","volume":"351","author":"Alkama","year":"2016","journal-title":"Science"},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"681","DOI":"10.1007\/s00704-013-0966-1","article-title":"Analysis of climatic variability and snow cover in the Kaligandaki River Basin, Himalaya, Nepal","volume":"116","author":"Mishra","year":"2014","journal-title":"Theor. Appl. Climatol."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"204","DOI":"10.1175\/JHM-D-10-05027.1","article-title":"Modeling the Spatial Distribution of Snow Cover in the Dudhkoshi Region of the Nepal Himalayas","volume":"13","author":"Shrestha","year":"2011","journal-title":"J. Hydrometeorol."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"903","DOI":"10.1080\/01431160902902617","article-title":"Vegetation, water and thermal stress index for study of drought in Nepal and central northeastern India","volume":"31","author":"Shakya","year":"2010","journal-title":"Int. J. Remote Sens."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"1380","DOI":"10.1109\/LGRS.2013.2293540","article-title":"Land Surface Air Temperature Retrieval From EOS-MODIS Images","volume":"11","author":"Niclos","year":"2014","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"133","DOI":"10.5721\/EuJRS20144709","article-title":"Seasonality of MODIS LST over Southern Italy and correlation with land cover, topography and solar radiation","volume":"47","author":"Stroppiana","year":"2014","journal-title":"Eur. J. Remote Sens"},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"69","DOI":"10.1016\/j.agrformet.2014.12.005","article-title":"Evaluation of two end-member-based models for regional land surface evapotranspiration estimation from MODIS data","volume":"202","author":"Tang","year":"2015","journal-title":"Agric. For. Meteorol."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"10","DOI":"10.1016\/j.rse.2015.12.018","article-title":"A time domain triangle method approach to estimate actual evapotranspiration: Application in a Mediterranean region using MODIS and MSG-SEVIRI products","volume":"174","author":"Minacapilli","year":"2016","journal-title":"Remote Sens. Environ."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"1105","DOI":"10.1029\/2018WR024162","article-title":"Estimation of Surface Soil Moisture with Downscaled Land Surface Temperatures Using a Data Fusion Approach for Heterogeneous Agricultural Land","volume":"55","author":"Bai","year":"2019","journal-title":"Water Resour. Res."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"36","DOI":"10.1016\/j.rse.2013.08.027","article-title":"New refinements and validation of the collection-6 MODIS land-surface temperature\/emissivity product","volume":"140","author":"Wan","year":"2014","journal-title":"Remote Sens. Environ."},{"key":"ref_34","first-page":"84","article-title":"Radiance-based validation of land surface temperature products derived from Collection 6 MODIS thermal infrared data","volume":"70","author":"Duan","year":"2018","journal-title":"Int. J. Appl. Earth Obs. Geoinf."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.rse.2016.08.009","article-title":"Temporal upscaling of surface urban heat island by incorporating an annual temperature cycle model: A tale of two cities","volume":"186","author":"Huang","year":"2016","journal-title":"Remote Sens. Environ."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"202","DOI":"10.1109\/LGRS.2017.2779829","article-title":"Mapping the Spatiotemporal Dynamics of Europe\u2019s Land Surface Temperatures","volume":"15","author":"Sismanidis","year":"2018","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"73","DOI":"10.1016\/j.atmosres.2013.10.024","article-title":"Spatial and temporal trends of mean and extreme rainfall and temperature for the 33 urban centers of the arid and semi-arid state of Rajasthan, India","volume":"138","author":"Pingale","year":"2014","journal-title":"Atmos. Res."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"52","DOI":"10.1016\/j.atmosres.2014.11.016","article-title":"Using wavelet transforms to estimate surface temperature trends and dominant periodicities in Iran based on gridded reanalysis data","volume":"155","author":"Araghi","year":"2015","journal-title":"Atmos. Res."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"143","DOI":"10.1007\/s00704-014-1283-z","article-title":"Spatial and temporal analysis of rainfall and temperature trend of India","volume":"122","author":"Mondal","year":"2015","journal-title":"Theor. Appl. Climatol."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"105","DOI":"10.1016\/j.scitotenv.2016.04.126","article-title":"Spatial\u2013temporal patterns of water use efficiency and climate controls in China\u2019s Loess Plateau during 2000\u20132010","volume":"565","author":"Zhang","year":"2016","journal-title":"Sci. Total Environ."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"211","DOI":"10.1007\/s11269-011-9913-z","article-title":"Trend Analysis in Reference Evapotranspiration Using Mann-Kendall and Spearman\u2019s Rho Tests in Arid Regions of Iran","volume":"26","author":"Shadmani","year":"2012","journal-title":"Water Resour. Manag."},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"1379","DOI":"10.1080\/01621459.1968.10480934","article-title":"Estimates of the Regression Coefficient Based on Kendall\u2019s Tau","volume":"63","author":"Sen","year":"1968","journal-title":"J. Am. Stat. Assoc."},{"key":"ref_43","doi-asserted-by":"crossref","unstructured":"Ishtiaque, A., Shrestha, M., and Chhetri, N. (2017). Rapid Urban Growth in the Kathmandu Valley, Nepal: Monitoring Land Use Land Cover Dynamics of a Himalayan City with Landsat Imageries. Environments, 4.","DOI":"10.3390\/environments4040072"},{"key":"ref_44","unstructured":"Aryal, R.S. (2011). Water Resources of Nepal in the Context of climate Change."},{"key":"ref_45","unstructured":"Thapa, B., Shrestha, R., Dhakal, P., and Thapa, B.S. (2003, January 12\u201315). Sediment in Nepalese hydropower projects. Proceedings of the International Conference on the Great Himalayas: Climate, Health, Ecology, Management and Conservation, Kathmandu, Nepal."},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"4237","DOI":"10.5194\/acp-14-4237-2014","article-title":"Snow cover sensitivity to black carbon deposition in the Himalayas: From atmospheric and ice core measurements to regional climate simulations","volume":"14","author":"Krinner","year":"2014","journal-title":"Atmos. Chem. Phys."},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"38","DOI":"10.3126\/aej.v8i0.725","article-title":"Climate change in Nepal\u2013shall we wait until bitter consequences?","volume":"8","author":"Lohani","year":"2007","journal-title":"J. Agric. Environ."},{"key":"ref_48","doi-asserted-by":"crossref","unstructured":"Mountain Research Initiative EDW Working Group, Pepin, N., Bradley, R.S., Diaz, H.F., Baraer, M., Caceres, E.B., Forsythe, N., Fowler, H., Greenwood, G., and Hashmi, M.Z. (2015). Elevation-dependent warming in mountain regions of the world. Nat. Clim. Chang., 5, 424\u2013430.","DOI":"10.1038\/nclimate2563"}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/11\/8\/900\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T12:45:10Z","timestamp":1760186710000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/11\/8\/900"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,4,13]]},"references-count":48,"journal-issue":{"issue":"8","published-online":{"date-parts":[[2019,4]]}},"alternative-id":["rs11080900"],"URL":"https:\/\/doi.org\/10.3390\/rs11080900","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,4,13]]}}}