{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,27]],"date-time":"2026-03-27T05:23:55Z","timestamp":1774589035376,"version":"3.50.1"},"reference-count":34,"publisher":"MDPI AG","issue":"10","license":[{"start":{"date-parts":[[2016,10,17]],"date-time":"2016-10-17T00:00:00Z","timestamp":1476662400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Satellite remote sensing provides a powerful tool for assessing lake water surface temperature (LWST) variations, particularly for large water bodies that reside in remote areas. In this study, the MODIS land surface temperature (LST) product level 3 (MOD11A2) was used to investigate the spatiotemporal variation of LWST for 56 large lakes across the Tibetan Plateau and examine the factors affecting the LWST variations during 2000\u20132015. The results show that the annual cycles of LWST across the Tibetan Plateau ranged from \u221219.5 \u00b0C in early February to 25.1 \u00b0C in late July. Obvious diurnal temperature differences (DTDs) were observed for various lakes, ranging from 1.3 to 8.9 \u00b0C in summer, and large and deep lakes show less DTDs variations. Overall, a LWST trend cannot be detected for the 56 lakes in the plateau over the past 15 years. However, 38 (68%) lakes show a temperature decrease trend with a mean rate of \u22120.06 \u00b0C\/year, and 18 (32%) lakes show a warming rate of (0.04 \u00b0C\/year) based on daytime MODIS measurements. With respect to nighttime measurements, 27 (48%) lakes demonstrate a temperature increase with a mean rate of 0.051 \u00b0C\/year, and 29 (52%) lakes exhibit a temperature decrease trend with a mean rate of \u22120.062 \u00b0C\/year. The rate of LWST change was statistically significant for 19 (21) lakes, including three (eight) warming and 17 (13) cooling lakes for daytime (nighttime) measurements, respectively. This investigation indicates that lake depth and area (volume), attitude, geographical location and water supply sources affect the spatiotemporal variations of LWST across the Tibetan Plateau.<\/jats:p>","DOI":"10.3390\/rs8100854","type":"journal-article","created":{"date-parts":[[2016,10,17]],"date-time":"2016-10-17T10:33:16Z","timestamp":1476700396000},"page":"854","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":67,"title":["Spatiotemporal Variations of Lake Surface Temperature across the Tibetan Plateau Using MODIS LST Product"],"prefix":"10.3390","volume":"8","author":[{"given":"Kaishan","family":"Song","sequence":"first","affiliation":[{"name":"Northeast Institute of Geography and Agroecology, CAS, Changchun 130102, China"}]},{"given":"Min","family":"Wang","sequence":"additional","affiliation":[{"name":"Northeast Institute of Geography and Agroecology, CAS, Changchun 130102, China"}]},{"given":"Jia","family":"Du","sequence":"additional","affiliation":[{"name":"Northeast Institute of Geography and Agroecology, CAS, Changchun 130102, China"}]},{"given":"Yue","family":"Yuan","sequence":"additional","affiliation":[{"name":"Northeast Institute of Geography and Agroecology, CAS, Changchun 130102, China"}]},{"given":"Jianhang","family":"Ma","sequence":"additional","affiliation":[{"name":"Northeast Institute of Geography and Agroecology, CAS, Changchun 130102, China"}]},{"given":"Ming","family":"Wang","sequence":"additional","affiliation":[{"name":"Northeast Institute of Geography and Agroecology, CAS, Changchun 130102, China"}]},{"given":"Guangyi","family":"Mu","sequence":"additional","affiliation":[{"name":"Northeast Institute of Geography and Agroecology, CAS, Changchun 130102, China"}]}],"member":"1968","published-online":{"date-parts":[[2016,10,17]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"174","DOI":"10.1016\/j.ecoinf.2014.09.004","article-title":"Effects of temperature and macronutrients on phytoplankton communities across three largely different lakes identified by a time-space trade-off approach","volume":"29","author":"Li","year":"2015","journal-title":"Ecol. 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