{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,29]],"date-time":"2026-01-29T12:25:30Z","timestamp":1769689530301,"version":"3.49.0"},"reference-count":43,"publisher":"MDPI AG","issue":"6","license":[{"start":{"date-parts":[[2021,3,12]],"date-time":"2021-03-12T00:00:00Z","timestamp":1615507200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100008871","name":"Yunnan Provincial Science and Technology Department","doi-asserted-by":"publisher","award":["YN2020018"],"award-info":[{"award-number":["YN2020018"]}],"id":[{"id":"10.13039\/501100008871","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>This paper estimates lake level variations over two small and adjacent lakes in the Tibetan plateau (TP), namely Gemang Co and Zhangnai Co, as well as the inland Dianchi Lake in China using CryoSat-2 SARIn-mode and LRM 20-Hz waveforms over the period of 2011\u20132018. Different retrackers and a dedicated data editing procedure have been used to process CryoSat-2 data for determining the lake level time series. The lake level estimations are indirectly validated against those from Jason-2 in TP and from in situ data in Dianchi Lake, both showing good agreement with strong correlation coefficients &gt;0.74. The results of this paper suggest that the official ICE retracker for LRM data and APD-PPT retracker for SARIn-mode waveforms are the most appropriate retrackers over Dianchi Lake and TP lakes, respectively. The trend estimates of the time series derived by both retrackers are 61.0 \u00b1 10.8 mm\/yr for Gemang Co and Zhangnai Co in TP, and 30.9 \u00b1 64.9 mm\/yr for Dianchi Lake, indicating that the lake levels over three lakes were continuously rising over the study period. The results of this study show that CryoSat-2 SARIn-mode data can be used for monitoring many small lakes that have not been measured by other altimetry missions in TP.<\/jats:p>","DOI":"10.3390\/rs13061078","type":"journal-article","created":{"date-parts":[[2021,3,14]],"date-time":"2021-03-14T23:52:06Z","timestamp":1615765926000},"page":"1078","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Retracking Cryosat-2 Data in SARIn and LRM Modes for Plateau Lakes: A Case Study for Tibetan and Dianchi Lakes"],"prefix":"10.3390","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9595-8032","authenticated-orcid":false,"given":"Xiaoli","family":"Deng","sequence":"first","affiliation":[{"name":"School of Engineering, The University of Newcastle, New South Wales, NSW 2308, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ren-Bin","family":"Wang","sequence":"additional","affiliation":[{"name":"College of Architecture and Civil Engineering, Kunming University, Kunming 650093, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fukai","family":"Peng","sequence":"additional","affiliation":[{"name":"School of Geospatial Engineering and Science, Sun Yat-sen University, Zhuhai 519082, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yong","family":"Yang","sequence":"additional","affiliation":[{"name":"College of Architecture and Civil Engineering, Kunming University, Kunming 650093, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nan-Ming","family":"Mo","sequence":"additional","affiliation":[{"name":"College of Architecture and Civil Engineering, Kunming University, Kunming 650093, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2021,3,12]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"111554","DOI":"10.1016\/j.rse.2019.111554","article-title":"Lake water and glacier mass gains in the northwestern Tibetan Plateau observed from multi-sensor remote sensing data: Implication of an enhanced hydrological cycle","volume":"237","author":"Zhang","year":"2020","journal-title":"Remote Sens. 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