AUTOMATED PREDICTION SYSTEM for VEGETATION COVER BASED on MODIS-NDVI SATELLITE DATA and NEURAL NETWORKS

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dc.contributor.authorAbujayyab, S.K.M.
dc.contributor.authorKaras, I.R.
dc.date.accessioned2024-09-29T16:16:05Z
dc.date.available2024-09-29T16:16:05Z
dc.date.issued2019
dc.departmentKarabük Üniversitesien_US
dc.description2019 Geomatics and Data Science: Towards Adaptive Management in a Changing World, PhilGEOS x GeoAdvances 2019 -- 14 November 2019 through 15 November 2019 -- Manila -- 158141en_US
dc.description.abstractAround the world, vegetation cover functioning as shelter to wildlife, clean water, food security as well as treat large part of air pollution problem. Accurate predictive data early warn and provide knowledge for decision makers to reduce the effects of changes in vegetation cover. In this paper, an automated prediction system was developed to forecast vegetation cover. Prediction system based on moderate satellite data spatial resolution and global coverage data. The tools of system automate processing Moderate Resolution Imaging Spectroradiometer (MODIS) images and training neural networks (NN) model based on 60,000 observations to forecast future density of Normalized Difference Vegetation Index (NDVI). Zonguldak data, located in north of Turkey as dense vegetation cover area utilized as case study for system application. This system significantly facilitates predictive process for users than previous long and complex models. © 2020 Authors.en_US
dc.description.sponsorshipTUBITAK; Türkiye Bilimsel ve Teknolojik Araştirma Kurumu, TÜBITAKen_US
dc.identifier.doi10.5194/isprs-archives-XLII-4-W19-9-2019
dc.identifier.endpage156en_US
dc.identifier.issn1682-1750
dc.identifier.issue4/W19en_US
dc.identifier.scopus2-s2.0-85081620228en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage149en_US
dc.identifier.urihttps://doi.org/10.5194/isprs-archives-XLII-4-W19-9-2019
dc.identifier.urihttps://hdl.handle.net/20.500.14619/8851
dc.identifier.volume42en_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherInternational Society for Photogrammetry and Remote Sensingen_US
dc.relation.ispartofInternational Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archivesen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectAutomated Systemsen_US
dc.subjectEarly Warning.en_US
dc.subjectMODISen_US
dc.subjectNDVIen_US
dc.subjectNeural Networksen_US
dc.subjectPredictionen_US
dc.titleAUTOMATED PREDICTION SYSTEM for VEGETATION COVER BASED on MODIS-NDVI SATELLITE DATA and NEURAL NETWORKSen_US
dc.typeConference Objecten_US

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