Accuracy Assessment of Satellite-Derived Bathymetry From Band Ratio Algoritm Around an Earth Dam

Accuracy Assessment of Satellite-Derived Bathymetry From Band Ratio Algoritm Around an Earth Dam | 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 Accuracy Assessment of Satellite-Derived Bathymetry From Band Ratio Algoritm Around an Earth Dam Ahmadu Ali Abubakar, Youngu T. T. This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4822754/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 Long-term changes in the bathymetry of a reservoir using satellite-derived bathymetry (SDB) from Landsat 8 Operational Land Imager (OLI) imagery was investigated. The reservoir's initial design in 1973 included a specified spatial extent of 570,000 square meters, a maximum depth of 8.5 meters, and a water storage capacity of 2,600,000 cubic meters. However, sedimentation over time gradually reduced the storage capacity and depth, leading to a dredging operation in 2014 to restore some of its original features. Focusing on the post-dredging period, the study compares the results to the reservoir's initial design plan. Results indicate a consistent marginal decline in the spatial extent, with an overall decrease of 26.10% from impoundment to the present. Satellite-derived depths showed a clear downward trend, representing a significant reduction of 68.11% over half a century. The volume capacity exhibited a consistent decline, with an overall loss of 71.98% from impoundment to the present. The findings highlight the continuous challenges posed by sedimentation, underscoring the need for ongoing monitoring and effective management strategies to maintain the reservoir's functionality and capacity as a crucial water resource. Furthermore, the study establishes a strong positive correlation (R 2 = 0.99) between storage volume capacity and derived depth values. This correlation validates the reliability and accuracy of the depth estimation method used, offering potential utility for reservoir management and water resource planning. Overall, the research emphasizes the importance of SDB for monitoring long-term changes in bathymetry and highlights the significance of effective sedimentation management to ensure sustainable reservoir utilization. Hydrology Landsat 8 (OLI) Satellite-Derived Bathymetry (SDB) Remote sensing and GIS NDWI Sediment LBR Atmospheric and Topographic Correction (ATCOR) Dark object subtraction (DOS) Digital Number (DN) Full Text Additional Declarations The authors declare potential competing interests as follows: Satellite Derived Bathymetry (SDB) 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. 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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-4822754","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":333263776,"identity":"5a5a49f2-0846-4913-b2fc-34166495101e","order_by":0,"name":"Ahmadu Ali Abubakar","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAABOklEQVRIie2PP0vDQBiH73ghXRJdLUftVzAEKlJrv0pDIC4XqVtBwUggXWpGSUDwK2S62RJoFqVr4aZScBJJKUjRIl6rk0lAN5F7uH/cvQ+/9xCSSP4iFeyC2LCLVCQOnc/bTEylUqJAkYLDtQJlymZ8U0D9eipi24PLxSk9qsXpw4h0z+36/nU6XRy+svoWIJzNaU7ZSbBHImYZ8f2JTcIR1W84NYgTcN0HBNWI5WMS7BKNgRnf0QZRlR4OCVXAGXAsFAW0vFIXKW8auzDj8ZNQ3nvtkBw/wsGAt8uUvQT7IiUx44lI0XxqhqTTALTkZpmiC6WpsdSIJs9WMwpsSzRmVK9cbvmAvaK/7Kb9GdfYWS0YO0PefbFaorFptlzx1m3fG2bzgu8Xg/3N6v60fs3qN8USiUTyz/kAKbhr6q3fbIsAAAAASUVORK5CYII=","orcid":"https://orcid.org/0000-0002-9646-3098","institution":"Ahmadu Bello University (ABU), Zaria","correspondingAuthor":true,"prefix":"","firstName":"Ahmadu","middleName":"Ali","lastName":"Abubakar","suffix":""},{"id":333263777,"identity":"ee03f616-23e6-4fed-816c-092fba0abce7","order_by":1,"name":"Youngu T. 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The reservoir's initial design in 1973 included a specified spatial extent of 570,000 square meters, a maximum depth of 8.5 meters, and a water storage capacity of 2,600,000 cubic meters. However, sedimentation over time gradually reduced the storage capacity and depth, leading to a dredging operation in 2014 to restore some of its original features. Focusing on the post-dredging period, the study compares the results to the reservoir's initial design plan. Results indicate a consistent marginal decline in the spatial extent, with an overall decrease of 26.10% from impoundment to the present. Satellite-derived depths showed a clear downward trend, representing a significant reduction of 68.11% over half a century. The volume capacity exhibited a consistent decline, with an overall loss of 71.98% from impoundment to the present. The findings highlight the continuous challenges posed by sedimentation, underscoring the need for ongoing monitoring and effective management strategies to maintain the reservoir's functionality and capacity as a crucial water resource. Furthermore, the study establishes a strong positive correlation (R\u003csup\u003e2\u003c/sup\u003e\u0026thinsp;=\u0026thinsp;0.99) between storage volume capacity and derived depth values. This correlation validates the reliability and accuracy of the depth estimation method used, offering potential utility for reservoir management and water resource planning. Overall, the research emphasizes the importance of SDB for monitoring long-term changes in bathymetry and highlights the significance of effective sedimentation management to ensure sustainable reservoir utilization.\u003c/p\u003e","manuscriptTitle":"Accuracy Assessment of Satellite-Derived Bathymetry From Band Ratio Algoritm Around an Earth Dam","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2024-07-30 03:34:07","doi":"10.21203/rs.3.rs-4822754/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":"1d65d2cf-f41c-4f0c-962b-7e861c520cbf","owner":[],"postedDate":"July 30th, 2024","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[{"id":35314254,"name":"Hydrology"}],"tags":[],"updatedAt":"2024-07-30T03:34:07+00:00","versionOfRecord":[],"versionCreatedAt":"2024-07-30 03:34:07","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-4822754","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-4822754","identity":"rs-4822754","version":["v1"]},"buildId":"qtupq5eGEP_6zYnWcrvyt","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}