{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,8]],"date-time":"2026-01-08T00:24:53Z","timestamp":1767831893968,"version":"3.49.0"},"reference-count":26,"publisher":"MDPI AG","issue":"18","license":[{"start":{"date-parts":[[2022,9,8]],"date-time":"2022-09-08T00:00:00Z","timestamp":1662595200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/100008383","name":"Federal Ministry of Transport and Digital Infrastructure","doi-asserted-by":"publisher","award":["50EW2101C"],"award-info":[{"award-number":["50EW2101C"]}],"id":[{"id":"10.13039\/100008383","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Freely available satellite imagery from the EU Copernicus program can record water surfaces precisely and at high temporal resolution. This paper provides the development status of the open-source demo software \u201cWaterMaskAnalyzer\u201d (WMA) for the determination of water body extents. The application allows simple to use on-demand monitoring of inland water dynamics by the Otsu-thresholding algorithm that automatically classifies water bodies. The tool can answer various hydrological issues related to disaster and water management, nature conservation, or water body monitoring. The first results from investigations of the Sentinel-1 time series in VH polarization show high accuracies with R2 = 0.824 compared to in situ measurements for the Quitzdorf reservoir in Saxony, Germany. Small or indented-shaped water bodies, as well as those with forested riparian zones, such as the Cranzahl (VH: R2 = 0.102 and VV: R2 = 0.251) and Klingenberg reservoirs (VH: R2 = 0.091 and VV: R2 = 0.146), only achieve a low R2 for VV and VH polarization but receive equally low RMSEs of 0.045 km2 (Cranzahl) and 0.077 km2 (Klingenberg). By separating out outliers and using correction factors, fast improvements in the accuracies can be expected. For future improvements, alternate classification methods and diverse new ground-truth data lead us to expect the next big step in development.<\/jats:p>","DOI":"10.3390\/rs14184485","type":"journal-article","created":{"date-parts":[[2022,9,8]],"date-time":"2022-09-08T09:51:09Z","timestamp":1662630669000},"page":"4485","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["WaterMaskAnalyzer (WMA)\u2014A User-Friendly Tool to Analyze and Visualize Temporal Dynamics of Inland Water Body Extents"],"prefix":"10.3390","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3844-0848","authenticated-orcid":false,"given":"Stephan","family":"Buettig","sequence":"first","affiliation":[{"name":"Saxon State Ministry for Economic Affairs, Labour and Transport, 01097 Dresden, Germany"}]},{"given":"Marie","family":"Lins","sequence":"additional","affiliation":[{"name":"Saxon State Company for Environment and Agriculture, 01445 Radebeul, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1519-1626","authenticated-orcid":false,"given":"Sebastian","family":"Goihl","sequence":"additional","affiliation":[{"name":"Saxon State Office for Environment, Agriculture and Geology, 01326 Dresden, Germany"}]}],"member":"1968","published-online":{"date-parts":[[2022,9,8]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"e4992","DOI":"10.7717\/peerj.4992","article-title":"Monitoring monthly surface water dynamics of Dongting Lake using Sentinel-1 data at 10 m","volume":"6","author":"Xing","year":"2018","journal-title":"PeerJ"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"669","DOI":"10.5194\/hess-23-669-2019","article-title":"A global lake and reservoir volume analysis using a surface water dataset and satellite altimetry","volume":"23","author":"Busker","year":"2019","journal-title":"Hydrol. 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