The HANTS-fitted data in the vegetation growing season can improve RSEI accuracy in revealing the spatiotemporal patterns of ecological quality in Yuxi of China

The HANTS-fitted data in the vegetation growing season can improve RSEI accuracy in revealing the spatiotemporal patterns of ecological quality in Yuxi of China | 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 Article The HANTS-fitted data in the vegetation growing season can improve RSEI accuracy in revealing the spatiotemporal patterns of ecological quality in Yuxi of China Wenna Miao, Yue Chen, Weili Kou, Hongyan Lai, Ahmed Sazal, Jie Wang, and 2 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-3995706/v1 This work is licensed under a CC BY 4.0 License Status: Under Review Version 1 posted 10 You are reading this latest preprint version Abstract Yuxi, a region of active economic development in China's central Yunnan Plateau, is subject to the ecological pressures brought about by rapid urbanization. In order to provide a scientific rationale for making decisions about environmental management, a long-term and accurate methodology for appraising and evaluating the ecological condition is required. Firstly, this study used 30 m-resolution Landsat data to reconstruct four indices, including greenness, wetness, dryness, and heat, during the vegetation growth period in Yuxi from 2000 to 2020 by using the HANTS filtering method. Secondly, we computed the annual RSEI using reconstructed indices to assess ecological quality in Yuxi. Thirdly, through Sen + MK trend analysis, spatial auto-correlation analysis, and geographical detectors on year-by-year RSEI, the spatiotemporal pattern and determinants of Yuxi's ecological quality were revealed. The results showed that: ( 1 ) vegetation seasons obviously affect the accuracy of the RSEI, and the data of the vegetation growing season is suggested to construct the RSEI model; ( 2 ) HANTS can effectively optimize the ecological indices of constructing the RSEI model, making the missing data filling smoother and more continuous. The reconstructed RSEI and the original RSEI have an absolute difference ranging between − 0.15 and 0.15; ( 3 ) the comprehensive ecological quality of Yuxi is moderate according to the RSEI mean value (0.5413), and the ecological quality of mountainous areas is better than that of valleys and plains. Yuxi's ecological quality manifests a clear center-edge pattern. ( 4 ) Between 2000 and 2020, the ecological quality of Yuxi exhibited a fluctuation and slightly rising trend as a whole, and the alteration in land utilization patterns was the primary determinant of Yuxi’s ecological quality shift, especially forestry land and impervious surface. Based on Yuxi, a city on the Central Yunnan Plateau, this study can serve as a reference for scientific decision-making regarding sustainable development and ecological protection. Earth and environmental sciences/Environmental sciences/Environmental impact Earth and environmental sciences/Ecology/Ecological modelling Ecological quality RSEI Spatiotemporal analysis Vegetation seasons HANTS Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Under Review Version 1 posted Editorial decision: Revision requested 25 Apr, 2024 Reviews received at journal 17 Apr, 2024 Reviews received at journal 09 Apr, 2024 Reviewers agreed at journal 08 Apr, 2024 Reviewers agreed at journal 06 Apr, 2024 Reviewers invited by journal 06 Apr, 2024 Editor assigned by journal 02 Apr, 2024 Editor invited by journal 07 Mar, 2024 Submission checks completed at journal 07 Mar, 2024 First submitted to journal 28 Feb, 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. 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-3995706","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Article","associatedPublications":[],"authors":[{"id":277904538,"identity":"62707cc7-b87a-4c5d-af4d-edf9e1172bec","order_by":0,"name":"Wenna Miao","email":"","orcid":"","institution":"Southwest Forestry University","correspondingAuthor":false,"prefix":"","firstName":"Wenna","middleName":"","lastName":"Miao","suffix":""},{"id":277904539,"identity":"eb9bf5c7-addc-4861-9c84-9f40eb9da500","order_by":1,"name":"Yue Chen","email":"","orcid":"","institution":"Southwest Forestry 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Spatiotemporal analysis, Vegetation seasons, HANTS","lastPublishedDoi":"10.21203/rs.3.rs-3995706/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-3995706/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eYuxi, a region of active economic development in China's central Yunnan Plateau, is subject to the ecological pressures brought about by rapid urbanization. In order to provide a scientific rationale for making decisions about environmental management, a long-term and accurate methodology for appraising and evaluating the ecological condition is required. Firstly, this study used 30 m-resolution Landsat data to reconstruct four indices, including greenness, wetness, dryness, and heat, during the vegetation growth period in Yuxi from 2000 to 2020 by using the HANTS filtering method. Secondly, we computed the annual RSEI using reconstructed indices to assess ecological quality in Yuxi. Thirdly, through Sen\u0026thinsp;+\u0026thinsp;MK trend analysis, spatial auto-correlation analysis, and geographical detectors on year-by-year RSEI, the spatiotemporal pattern and determinants of Yuxi's ecological quality were revealed. The results showed that: (\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e) vegetation seasons obviously affect the accuracy of the RSEI, and the data of the vegetation growing season is suggested to construct the RSEI model; (\u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2\u003c/span\u003e) HANTS can effectively optimize the ecological indices of constructing the RSEI model, making the missing data filling smoother and more continuous. The reconstructed RSEI and the original RSEI have an absolute difference ranging between \u0026minus;\u0026thinsp;0.15 and 0.15; (\u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e3\u003c/span\u003e) the comprehensive ecological quality of Yuxi is moderate according to the RSEI mean value (0.5413), and the ecological quality of mountainous areas is better than that of valleys and plains. Yuxi's ecological quality manifests a clear center-edge pattern. (\u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e4\u003c/span\u003e) Between 2000 and 2020, the ecological quality of Yuxi exhibited a fluctuation and slightly rising trend as a whole, and the alteration in land utilization patterns was the primary determinant of Yuxi\u0026rsquo;s ecological quality shift, especially forestry land and impervious surface. Based on Yuxi, a city on the Central Yunnan Plateau, this study can serve as a reference for scientific decision-making regarding sustainable development and ecological protection.\u003c/p\u003e","manuscriptTitle":"The HANTS-fitted data in the vegetation growing season can improve RSEI accuracy in revealing the spatiotemporal patterns of ecological quality in Yuxi of China","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2024-03-11 05:48:10","doi":"10.21203/rs.3.rs-3995706/v1","editorialEvents":[{"type":"communityComments","content":0},{"type":"decision","content":"Revision requested","date":"2024-04-26T03:51:09+00:00","index":"","fulltext":""},{"type":"editorInvitedReview","content":"","date":"2024-04-17T09:25:55+00:00","index":"hide","fulltext":""},{"type":"editorInvitedReview","content":"","date":"2024-04-09T09:25:13+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"c305a90d-65ed-4515-bfc6-fed3703c37bd","date":"2024-04-08T10:18:48+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"22992f88-13b5-4673-a297-54d18031ad32_SNPRID","date":"2024-04-07T03:08:43+00:00","index":"hide","fulltext":""},{"type":"reviewersInvited","content":"","date":"2024-04-06T09:13:05+00:00","index":"","fulltext":""},{"type":"editorAssigned","content":"","date":"2024-04-02T08:02:32+00:00","index":"","fulltext":""},{"type":"editorInvited","content":"","date":"2024-03-07T13:25:00+00:00","index":"","fulltext":""},{"type":"checksComplete","content":"","date":"2024-03-07T13:20:27+00:00","index":"","fulltext":""},{"type":"submitted","content":"Scientific Reports","date":"2024-02-28T05:03:45+00:00","index":"","fulltext":""}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"scientific-reports","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"scirep","sideBox":"Learn more about [Scientific Reports](http://www.nature.com/srep/)","snPcode":"","submissionUrl":"","title":"Scientific Reports","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"stoa","reportingPortfolio":"Scientific Reports","inReviewEnabled":true,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"98c9fd36-fe13-4e55-a71c-ff72ea4fd8e9","owner":[],"postedDate":"March 11th, 2024","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"under-review","subjectAreas":[{"id":29276056,"name":"Earth and environmental sciences/Environmental sciences/Environmental impact"},{"id":29276057,"name":"Earth and environmental sciences/Ecology/Ecological modelling"}],"tags":[],"updatedAt":"2024-06-21T19:23:30+00:00","versionOfRecord":[],"versionCreatedAt":"2024-03-11 05:48:10","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-3995706","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-3995706","identity":"rs-3995706","version":["v1"]},"buildId":"qtupq5eGEP_6zYnWcrvyt","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}