A Method for Extracting Tidal Flat Elevation by Integrating Land Submersion Probability Extremes and Geo-Informatic Tupu Analysis with Application to the Yancheng Coastal Zone

A Method for Extracting Tidal Flat Elevation by Integrating Land Submersion Probability Extremes and Geo-Informatic Tupu Analysis with Application to the Yancheng Coastal Zone | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article A Method for Extracting Tidal Flat Elevation by Integrating Land Submersion Probability Extremes and Geo-Informatic Tupu Analysis with Application to the Yancheng Coastal Zone Lijun Yang, Songlai Xu, Junjie Wang, Tongxin Wu, Jing Li, Pengyuan Chen This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-7233962/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Elevation data constitutes a critical parameter for coastal dynamic monitoring. This study innovatively develops a method for extracting tidal flat elevation from 2D remote sensing imagery, integrating spectral-spatial pattern analysis (Geo-Informatic Tupu Analysis) to establish a transferable technical framework for spatiotemporal change monitoring. Using Landsat series imagery (1984–2024) as primary data with Sentinel-2 supplementation, we conducted 40-year continuous monitoring of Jiangsu Yancheng's coastal zone. Key findings reveal: (1) The land submersion probability extremes method effectively extracts mean high/low water lines (MHWL/MLWL), achieving ± 0.45m accuracy when combined with vegetation front boundary (VFB) as elevation benchmarks; (2) Dynamic analysis shows MHWL prograded seaward at 88.7 ± 1.18 m/yr while MLWL retreated landward at 41.83 ± 1.18 m/yr, forming convergent evolution patterns; (3) Spatial differentiation demonstrates accretion in southern sectors versus erosion in northern sectors, with net tidal flat loss at 9.2 km²/yr, exhibiting distinct "southern accretion-northern erosion" trends. The proposed "elevation extraction-terrain inversion-pattern analysis" framework enables precise historical reconstruction of coastal evolution, providing quantitative foundations for integrated coastal management. Mean water lines Dynamic changes Tidal flat coast Remote sensing Geo-informatic Tupu Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-7233962","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":495626227,"identity":"f70ac5f1-05e5-4793-be87-8c8b3436ec9d","order_by":0,"name":"Lijun Yang","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA4ElEQVRIiWNgGAWjYBACPoYDIMqGgbEBzGcmrIUNoiUNpAWkiygtYHAYRBCrhfGM4eeCX+fzmGfkHn/AUGGd2MB+9gABW84YS8/su13MOCMvsYHhTHpiA09eAiEtBtK8PbcTG2fkGDYwth1ObJDgMSBoy2/ennNQLf+I02ImzfPjAFRLA1FajpVZ8zYkJzb2vEuckXAs3biNJwe/Fn6Jw5tv8/yxS9zYnnvgw4caa9l+9jP4tTBInDBgYGxjYDBs4GFgSGCAxxQ+a9ofMDD8YWCQZ+AhqHYUjIJRMApGKAAAZ2BJUfJFoKwAAAAASUVORK5CYII=","orcid":"","institution":"Nanjing University of Posts and Telecommunications","correspondingAuthor":true,"prefix":"","firstName":"Lijun","middleName":"","lastName":"Yang","suffix":""},{"id":495626228,"identity":"51bb4b2a-992d-45b4-b1ba-4483e9dd676d","order_by":1,"name":"Songlai Xu","email":"","orcid":"","institution":"Nanjing University of Posts and Telecommunications","correspondingAuthor":false,"prefix":"","firstName":"Songlai","middleName":"","lastName":"Xu","suffix":""},{"id":495626229,"identity":"4d4be756-1198-4303-8250-c38561206083","order_by":2,"name":"Junjie Wang","email":"","orcid":"","institution":"Nanjing University of Posts and Telecommunications","correspondingAuthor":false,"prefix":"","firstName":"Junjie","middleName":"","lastName":"Wang","suffix":""},{"id":495626230,"identity":"adcb002d-958e-4960-ba33-16a578bd548a","order_by":3,"name":"Tongxin Wu","email":"","orcid":"","institution":"Central South University","correspondingAuthor":false,"prefix":"","firstName":"Tongxin","middleName":"","lastName":"Wu","suffix":""},{"id":495626231,"identity":"89d098a7-bfed-4244-bcbe-a0b7794411cf","order_by":4,"name":"Jing Li","email":"","orcid":"","institution":"Nanjing University of Posts and Telecommunications","correspondingAuthor":false,"prefix":"","firstName":"Jing","middleName":"","lastName":"Li","suffix":""},{"id":495626232,"identity":"e7d99e36-a01d-4655-b514-a97f85d9e3a0","order_by":5,"name":"Pengyuan Chen","email":"","orcid":"","institution":"Nanjing University of Posts and Telecommunications","correspondingAuthor":false,"prefix":"","firstName":"Pengyuan","middleName":"","lastName":"Chen","suffix":""}],"badges":[],"createdAt":"2025-07-28 12:38:27","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-7233962/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-7233962/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":88537533,"identity":"e082897c-32ef-4564-a559-b284f1c662a6","added_by":"auto","created_at":"2025-08-07 12:54:32","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":1655918,"visible":true,"origin":"","legend":"","description":"","filename":"AMETHO1.pdf","url":"https://assets-eu.researchsquare.com/files/rs-7233962/v1_covered_0fa5a9f1-a754-4fe4-b71a-6df47135ca87.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"A Method for Extracting Tidal Flat Elevation by Integrating Land Submersion Probability Extremes and Geo-Informatic Tupu Analysis with Application to the Yancheng Coastal Zone","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":true,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":true,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":true,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"Mean water lines, Dynamic changes, Tidal flat coast, Remote sensing, Geo-informatic Tupu","lastPublishedDoi":"10.21203/rs.3.rs-7233962/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-7233962/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eElevation data constitutes a critical parameter for coastal dynamic monitoring. This study innovatively develops a method for extracting tidal flat elevation from 2D remote sensing imagery, integrating spectral-spatial pattern analysis (Geo-Informatic Tupu Analysis) to establish a transferable technical framework for spatiotemporal change monitoring. Using Landsat series imagery (1984\u0026ndash;2024) as primary data with Sentinel-2 supplementation, we conducted 40-year continuous monitoring of Jiangsu Yancheng's coastal zone. Key findings reveal: (1) The land submersion probability extremes method effectively extracts mean high/low water lines (MHWL/MLWL), achieving\u0026thinsp;\u0026plusmn;\u0026thinsp;0.45m accuracy when combined with vegetation front boundary (VFB) as elevation benchmarks; (2) Dynamic analysis shows MHWL prograded seaward at 88.7\u0026thinsp;\u0026plusmn;\u0026thinsp;1.18 m/yr while MLWL retreated landward at 41.83\u0026thinsp;\u0026plusmn;\u0026thinsp;1.18 m/yr, forming convergent evolution patterns; (3) Spatial differentiation demonstrates accretion in southern sectors versus erosion in northern sectors, with net tidal flat loss at 9.2 km\u0026sup2;/yr, exhibiting distinct \"southern accretion-northern erosion\" trends. The proposed \"elevation extraction-terrain inversion-pattern analysis\" framework enables precise historical reconstruction of coastal evolution, providing quantitative foundations for integrated coastal management.\u003c/p\u003e","manuscriptTitle":"A Method for Extracting Tidal Flat Elevation by Integrating Land Submersion Probability Extremes and Geo-Informatic Tupu Analysis with Application to the Yancheng Coastal Zone","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2025-08-07 12:22:26","doi":"10.21203/rs.3.rs-7233962/v1","editorialEvents":[{"type":"communityComments","content":0}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"1829fa84-8ec6-410e-97fb-1e9b4719f456","owner":[],"postedDate":"August 7th, 2025","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[],"tags":[],"updatedAt":"2025-08-07T12:22:26+00:00","versionOfRecord":[],"versionCreatedAt":"2025-08-07 12:22:26","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-7233962","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-7233962","identity":"rs-7233962","version":["v1"]},"buildId":"8U1c8b4HqxoKbykW_rLl7","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}