{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,30]],"date-time":"2026-04-30T15:49:55Z","timestamp":1777564195032,"version":"3.51.4"},"reference-count":50,"publisher":"MDPI AG","issue":"19","license":[{"start":{"date-parts":[[2024,9,27]],"date-time":"2024-09-27T00:00:00Z","timestamp":1727395200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Science &amp; Technology Fundamental Resources Investigation Program","award":["2022FY100300"],"award-info":[{"award-number":["2022FY100300"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Tidal flats, a critical part of coastal wetlands, offer unique ecosystem services and functions. However, in China, these areas are under significant threat from industrialization, urbanization, aquaculture expansion, and coastline reconstruction. There is an urgent need for macroscopic, accurate and periodic tidal flat resource data to support the scientific management and development of coastal resources. At present, the lack of macroscopic, accurate and periodic high-resolution tidal flat maps in China greatly limits the spatio-temporal analysis of the dynamic changes of tidal flats in China, and is insufficient to support practical management efforts. In this study, we used the Google Earth Engine (GEE) platform to construct multi-source intensive time series remote sensing image collection from Sentinel-2 (MSI), Landsat 8 (OLI) and Landsat 9 (OLI-2) images, and then automated the execution of improved MSIC-OA (Maximum Spectral Index Composite and Otsu Algorithm) to process the collection, and then extracted and analyzed the tidal flat data of China in 2018 and 2023. The results are as follows: (1) the overall classification accuracy of the tidal flat in 2023 is 95.19%, with an F1 score of 0.92. In 2018, these values are 92.77% and 0.88, respectively. (2) The total tidal flat area in 2018 and 2023 is 8300.34 km2 and 8151.54 km2, respectively, showing a decrease of 148.80 km2. (3) In 2023, estuarine and bay tidal flats account for 54.88% of the total area, with most tidal flats distribute near river inlets and bays. (4) In 2023, the total length of the coastline adjacent to the tidal flat is 10,196.17 km, of which the artificial shoreline accounts for 67.06%. The development degree of the tidal flat is 2.04, indicating that the majority of tidal flats have been developed and utilized. The results can provide a valuable data reference for the protection and scientific planning of tidal flat resources in China.<\/jats:p>","DOI":"10.3390\/rs16193607","type":"journal-article","created":{"date-parts":[[2024,9,27]],"date-time":"2024-09-27T07:49:24Z","timestamp":1727423364000},"page":"3607","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Tidal Flat Extraction and Analysis in China Based on Multi-Source Remote Sensing Image Collection and MSIC-OA Algorithm"],"prefix":"10.3390","volume":"16","author":[{"given":"Jixiang","family":"Sun","sequence":"first","affiliation":[{"name":"CAS Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai 264003, China"},{"name":"Shandong Provincial Key Laboratory of Coastal Zone Environmental Processes, Yantai 264003, China"},{"name":"University of Chinese Academy of Sciences, Beijing 100049, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9173-8726","authenticated-orcid":false,"given":"Cheng","family":"Tang","sequence":"additional","affiliation":[{"name":"CAS Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai 264003, China"},{"name":"Shandong Provincial Key Laboratory of Coastal Zone Environmental Processes, Yantai 264003, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ke","family":"Mu","sequence":"additional","affiliation":[{"name":"CAS Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai 264003, China"},{"name":"Shandong Provincial Key Laboratory of Coastal Zone Environmental Processes, Yantai 264003, China"},{"name":"University of Chinese Academy of Sciences, Beijing 100049, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4663-7547","authenticated-orcid":false,"given":"Yanfang","family":"Li","sequence":"additional","affiliation":[{"name":"CAS Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai 264003, China"},{"name":"Shandong Provincial Key Laboratory of Coastal Zone Environmental Processes, Yantai 264003, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiangyang","family":"Zheng","sequence":"additional","affiliation":[{"name":"CAS Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai 264003, China"},{"name":"Shandong Provincial Key Laboratory of Coastal Zone Environmental Processes, Yantai 264003, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0716-1638","authenticated-orcid":false,"given":"Tao","family":"Zou","sequence":"additional","affiliation":[{"name":"CAS Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai 264003, China"},{"name":"Shandong Provincial Key Laboratory of Coastal Zone Environmental Processes, Yantai 264003, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2024,9,27]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"3417","DOI":"10.3390\/rs4113417","article-title":"Continental scale mapping of tidal flats across East Asia using the Landsat archive","volume":"4","author":"Murray","year":"2012","journal-title":"Remote Sens."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"110987","DOI":"10.1016\/j.rse.2018.11.030","article-title":"Tracking annual changes of coastal tidal flats in China during 1986\u20132016 through analyses of Landsat images with Google Earth Engine","volume":"238","author":"Wang","year":"2020","journal-title":"Remote Sens. 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