{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,4]],"date-time":"2026-03-04T06:20:23Z","timestamp":1772605223836,"version":"3.50.1"},"reference-count":33,"publisher":"MDPI AG","issue":"6","license":[{"start":{"date-parts":[[2024,3,10]],"date-time":"2024-03-10T00:00:00Z","timestamp":1710028800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"the Second Tibetan Plateau Scientific Expedition and Research Program (STEP)","award":["2019QZKK0206"],"award-info":[{"award-number":["2019QZKK0206"]}]},{"name":"the Second Tibetan Plateau Scientific Expedition and Research Program (STEP)","award":["42090015"],"award-info":[{"award-number":["42090015"]}]},{"name":"Major Program of the National Natural Science Foundation of China","award":["2019QZKK0206"],"award-info":[{"award-number":["2019QZKK0206"]}]},{"name":"Major Program of the National Natural Science Foundation of China","award":["42090015"],"award-info":[{"award-number":["42090015"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Lake volume variation is closely related to climate change and human activities, which can be monitored by multi-source remote-sensing data from space. Although there are usually two routine ways to construct the lake volume by the digital elevation model (DEM) or satellite altimetric data combined with the lake area, rarely has a comparison been made between the two methods. Therefore, we conducted a comparison between the two methods in Texas for 14 lakes with abundant validation data. First, we constructed the lake hypsometric curve by five commonly applied DEMs (SRTM, ASTER, ALOS, GMTED2010, and NED) or satellite altimetric products combined with the gauge lake area. Second, the lake volume was estimated by combining the hypsometric curve with the gauge lake area time series. Finally, the estimation error has been quantitatively calculated. The results show that the relative lake volume estimation error (rVSD) of the altimetric data (4%) is only 10\u201318% of that of the DEMs (22\u201341%), and the DEM with the highest resolution (NED) has the least rVSD with an average of 22%. Therefore, for large-scale lake monitoring, we suggest the application of satellite altimetric data with the lake area to estimate the lake volume of large lakes, and the application of high-resolution DEM with the lake area to calculate the lake volume of small lakes that are gapped by satellite altimetric data.<\/jats:p>","DOI":"10.3390\/rs16060974","type":"journal-article","created":{"date-parts":[[2024,3,11]],"date-time":"2024-03-11T08:56:41Z","timestamp":1710147401000},"page":"974","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["A Comparison of Multiple DEMs and Satellite Altimetric Data in Lake Volume Monitoring"],"prefix":"10.3390","volume":"16","author":[{"given":"Cui","family":"Yuan","sequence":"first","affiliation":[{"name":"Information Science Academy, China Electronics Technology Group Corporation, Beijing 100041, China"}]},{"given":"Fangpei","family":"Zhang","sequence":"additional","affiliation":[{"name":"Information Science Academy, China Electronics Technology Group Corporation, Beijing 100041, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5851-6374","authenticated-orcid":false,"given":"Caixia","family":"Liu","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China"}]}],"member":"1968","published-online":{"date-parts":[[2024,3,10]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"RG2002","DOI":"10.1029\/2006RG000197","article-title":"Measuring surface water from space","volume":"45","author":"Alsdorf","year":"2007","journal-title":"Rev. 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