Application of Light Remote Sensing Technology Based on Transfer Learning Algorithm in Sustainable Management of Ecological Economy

Application of Light Remote Sensing Technology Based on Transfer Learning Algorithm in Sustainable Management of Ecological Economy | 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 Application of Light Remote Sensing Technology Based on Transfer Learning Algorithm in Sustainable Management of Ecological Economy Jingzhi Cao, Haiquan Wu, Yuyou Zou This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-3849509/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 With the widespread application of optical remote sensing technology in resource and environmental management, researchers have begun to focus on applying it to sustainable ecological and economic management. Research focuses on using transfer learning algorithms to transfer optical remote sensing models to the field of ecological and economic management, in order to achieve efficient and accurate extraction of ecological information and resource management. We chose the optical remote sensing model as the initial model, used transfer learning methods, retained the underlying feature extractor of the initial model, and applied it to ecological and economic data to further optimize the model to adapt to the characteristics and needs of ecological and economic data. By conducting supervised training on the ecological economic dataset, adjusting the weights and parameters of the model to better adapt to the distribution and characteristics of ecological economic data. In the adjusted and optimized optical remote sensing model, utilize its powerful ecological information extraction and resource management capabilities to address key issues in sustainable ecological and economic management. The results indicate that after optimization by transfer learning algorithms, optical remote sensing technology can more accurately extract ecological information, effectively manage resources, and promote sustainable development of ecological economy. Transfer learning algorithms Light remote sensing technology Ecological economy sustainable management 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. 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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-3849509","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":266379267,"identity":"22b24392-4c55-41d2-8f3c-d2f1cf0fdf8e","order_by":0,"name":"Jingzhi Cao","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA7klEQVRIiWNgGAWjYJACgwQQwczY/PhHhYScPAlamNuMGc5YGBs2EG0VA3uDNGNbRSLDAQIq+dsPHyh4uKPW3pydscG4cJ5EAmMD88NHN/BokTiTlmCQeOY4s2UzY8Pjmdsk8tgZ2IyNc/C6J8fAILHtGJvBYcYGA95tEsWMDTxs0ni18L8Ba+EBaZHgnSOR2HCAkBYJsC01EiAt0rwNRGiRuPEM6Je2AwZALW2GM45JGBs2E/ALf3/yMcOfbXX2BuePP37woaZOTp69+eFjfFqAgM2AgeEwEp8Zv3KwkgcMDHWElY2CUTAKRsHIBQApHkr/cKqC5AAAAABJRU5ErkJggg==","orcid":"","institution":"Heilongjiang University Of Chinese Medicine","correspondingAuthor":true,"prefix":"","firstName":"Jingzhi","middleName":"","lastName":"Cao","suffix":""},{"id":266379268,"identity":"fbdc2280-96d1-4c1e-b6d0-dbd252d705de","order_by":1,"name":"Haiquan Wu","email":"","orcid":"","institution":"Central South University","correspondingAuthor":false,"prefix":"","firstName":"Haiquan","middleName":"","lastName":"Wu","suffix":""},{"id":266379269,"identity":"a77515e7-e315-4aa0-94d9-0d85a637b612","order_by":2,"name":"Yuyou Zou","email":"","orcid":"","institution":"Northeast Forestry University","correspondingAuthor":false,"prefix":"","firstName":"Yuyou","middleName":"","lastName":"Zou","suffix":""}],"badges":[],"createdAt":"2024-01-10 06:14:15","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-3849509/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-3849509/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":56669533,"identity":"85b1667b-b472-4b6c-b7a0-73e558080b90","added_by":"auto","created_at":"2024-05-17 14:13:46","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":282842,"visible":true,"origin":"","legend":"","description":"","filename":"JingzhiCao.pdf","url":"https://assets-eu.researchsquare.com/files/rs-3849509/v1_covered_23ca917c-e9cf-4e21-b4b0-4025ce3e9418.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Application of Light Remote Sensing Technology Based on Transfer Learning Algorithm in Sustainable Management of Ecological Economy","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":"Transfer learning algorithms, Light remote sensing technology, Ecological economy, sustainable management","lastPublishedDoi":"10.21203/rs.3.rs-3849509/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-3849509/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eWith the widespread application of optical remote sensing technology in resource and environmental management, researchers have begun to focus on applying it to sustainable ecological and economic management. 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