Evaluation of Sentinel-1 Satelite-based Soil Moisture Products for Runoff Modelling with Karst Formation Characteristics

Evaluation of Sentinel-1 Satelite-based Soil Moisture Products for Runoff Modelling with Karst Formation Characteristics | 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 Evaluation of Sentinel-1 Satelite-based Soil Moisture Products for Runoff Modelling with Karst Formation Characteristics Hanggar Ganara Mawandha, Afinafghani Duta Pratama, M. Ramadhan Al Ghifari, and 4 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4010303/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 09 Oct, 2024 Read the published version in Water Resources Management → Version 1 posted 5 You are reading this latest preprint version Abstract Soil moisture content is a crucial factor in hydrological studies as it helps to determine the rainfall and runoff response in the catchment. Land use, particularly cropping, can have a significant effect on soil moisture content. Hilly topography with karst features is more prone to flooding and soil erosion due to its low water holding capacity. Remote sensing technology has recently been applied to agriculture and disaster management. The aim of this research is to identify soil moisture characteristics in karst formations for runoff estimation using remotely sensed imagery from Sentinel-1. Soil moisture is calculated using the Topp model equation based on the soil dielectric value obtained from the Dubois model. By using different types of land use and soil moisture data from Sentinel-1, CN values can be generated and then used to estimate runoff. The results of the study show that extracting soil moisture information from Sentinel-1A with VV polarisation for karst areas is still challenging due to the high bias. The Sentinel-1 satellite soil moisture products could provide a real-time CN value that can be integrated with the rainfall runoff model. This research highlights the importance of monitoring soil moisture to determine CN values for flood mitigation. soil moisture karst runoff Sentinel-1 SCS CN Topp model Dubois model Full Text Cite Share Download PDF Status: Published Journal Publication published 09 Oct, 2024 Read the published version in Water Resources Management → Version 1 posted Editorial decision: Major revisions 17 Apr, 2024 Reviewers agreed at journal 04 Mar, 2024 Reviewers invited by journal 04 Mar, 2024 Editor assigned by journal 03 Mar, 2024 First submitted to journal 03 Mar, 2024 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. 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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-4010303","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":276258823,"identity":"7619e771-fd7d-47cb-b6b1-7217beb05302","order_by":0,"name":"Hanggar Ganara Mawandha","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA8ElEQVRIiWNgGAWjYBACAyQ24wMY6wAPkVqY4RyitbBJwJn4tJiznz388kvNPQZ5B+60ap5f2xj42w8wHniDR4tlT16atcyxYgbDA7zbbvP23WaQOJPAcHAOPocdyDEzlmBLYDBsAGnpuc3AcIOB4TBev5x/A9TyD6KlGKRFnqCWGznGDz+2JTDIM/BuY+b5cRsoQlDLGzNmxr4EHgNm3s2Scxtu8xieSWzA75fzOcYff3xLkJNv79344c2f23Jyxw8f/oAvxICATRroDB6Dw0AmYxsoRhgb8GsARvrHH0BSHqzuDyHFo2AUjIJRMBIBAATyUAgy6lPtAAAAAElFTkSuQmCC","orcid":"https://orcid.org/0009-0001-9093-0775","institution":"Gadjah Mada University Faculty of Agricultural Technology: Universitas Gadjah Mada Fakultas Teknologi Pertanian","correspondingAuthor":true,"prefix":"","firstName":"Hanggar","middleName":"Ganara","lastName":"Mawandha","suffix":""},{"id":276258824,"identity":"06096a79-fff8-4586-a78a-0c9bee883d96","order_by":1,"name":"Afinafghani Duta Pratama","email":"","orcid":"","institution":"Gadjah Mada University Faculty of Agricultural Technology: Universitas Gadjah Mada Fakultas Teknologi Pertanian","correspondingAuthor":false,"prefix":"","firstName":"Afinafghani","middleName":"Duta","lastName":"Pratama","suffix":""},{"id":276258825,"identity":"3bd8fda3-e761-4a21-807c-d4641f197f95","order_by":2,"name":"M. 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Land use, particularly cropping, can have a significant effect on soil moisture content. Hilly topography with karst features is more prone to flooding and soil erosion due to its low water holding capacity. Remote sensing technology has recently been applied to agriculture and disaster management. The aim of this research is to identify soil moisture characteristics in karst formations for runoff estimation using remotely sensed imagery from Sentinel-1. Soil moisture is calculated using the Topp model equation based on the soil dielectric value obtained from the Dubois model. By using different types of land use and soil moisture data from Sentinel-1, CN values can be generated and then used to estimate runoff. The results of the study show that extracting soil moisture information from Sentinel-1A with VV polarisation for karst areas is still challenging due to the high bias. The Sentinel-1 satellite soil moisture products could provide a real-time CN value that can be integrated with the rainfall runoff model. This research highlights the importance of monitoring soil moisture to determine CN values for flood mitigation.\u003c/p\u003e","manuscriptTitle":"Evaluation of Sentinel-1 Satelite-based Soil Moisture Products for Runoff Modelling with Karst Formation Characteristics","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2024-03-06 19:23:22","doi":"10.21203/rs.3.rs-4010303/v1","editorialEvents":[{"type":"communityComments","content":0},{"type":"decision","content":"Major revisions","date":"2024-04-18T02:07:10+00:00","index":"","fulltext":""},{"type":"reviewerAgreed","content":"","date":"2024-03-04T11:08:20+00:00","index":0,"fulltext":""},{"type":"reviewersInvited","content":"","date":"2024-03-04T11:07:05+00:00","index":"","fulltext":""},{"type":"editorAssigned","content":"","date":"2024-03-04T04:38:39+00:00","index":"","fulltext":""},{"type":"submitted","content":"Water Resources Management","date":"2024-03-03T21:48:27+00:00","index":"","fulltext":""}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"water-resources-management","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"warm","sideBox":"Learn more about [Water Resources Management](https://www.springer.com/journal/11269)","snPcode":"11269","submissionUrl":"https://submission.nature.com/new-submission/11269/3","title":"Water Resources Management","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"em","reportingPortfolio":"Springer Hybrid","inReviewEnabled":true,"inReviewRevisionsEnabled":false}}],"origin":"","ownerIdentity":"104482a6-9891-4da0-8d8c-42844bf3ceb0","owner":[],"postedDate":"March 6th, 2024","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"published-in-journal","subjectAreas":[],"tags":[],"updatedAt":"2024-10-14T16:05:08+00:00","versionOfRecord":{"articleIdentity":"rs-4010303","link":"https://doi.org/10.1007/s11269-024-03992-9","journal":{"identity":"water-resources-management","isVorOnly":false,"title":"Water Resources Management"},"publishedOn":"2024-10-09 15:57:32","publishedOnDateReadable":"October 9th, 2024"},"versionCreatedAt":"2024-03-06 19:23:22","video":"","vorDoi":"10.1007/s11269-024-03992-9","vorDoiUrl":"https://doi.org/10.1007/s11269-024-03992-9","workflowStages":[]},"version":"v1","identity":"rs-4010303","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-4010303","identity":"rs-4010303","version":["v1"]},"buildId":"qtupq5eGEP_6zYnWcrvyt","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}