Estimation of stand type parameters and land cover using Landsat-7 ETM image: A case study from Turkey

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dc.contributor.authorGünlü, Alkan
dc.contributor.authorSivrikaya, Fatih
dc.contributor.authorBaşkent, Emin Zeki
dc.contributor.authorKeleş, Sedat
dc.contributor.authorÇakır, Günay
dc.contributor.authorKadıoğulları, Ali İhsan
dc.date.accessioned2020-05-01T12:11:55Z
dc.date.available2020-05-01T12:11:55Z
dc.date.issued2008
dc.departmentDÜ, Orman Fakültesi, Orman Mühendisliği Bölümüen_US
dc.descriptionSivrikaya, Fatih/0000-0003-0860-6747; Cakir, Gunay/0000-0003-4951-4283; Kadiogullari, Ali Ihsan/0000-0002-0948-1838; Kadiogullari, Ali ihsan/0000-0002-3102-6321en_US
dc.descriptionWOS: 000256642400023en_US
dc.descriptionPubMed: 27879832en_US
dc.description.abstractRemote sensing has been considered a low-cost, large-area coverage forest information resource ideally suited to broad-scale forest inventory objectives. The objective of this study is to determine stand type parameters such as crown closure, development stage and stand types, and land cover obtained from Landsat 7 ETM image and forest cover type map ( stand type map). The research also focuses on classifying and mapping the stand parameters with the spatial analysis functions of GIS. In the study, stand parameters determined by forest cover type map and remote sensing methods were compared and contrasted to evaluate the potential use of the remote sensing methods. The result showed that development stage were estimated with Landsat 7 ETM image using supervised classification with a 0.89 kappa statistic value and 92% overall accuracy assessments. Among the features, development stages were the most successfully classified stand parameters in classification process. According to the spatial accuracy assessment results, development stages also had the highest accuracy of 72.2%. As can be seen in the results, spatial accuracy is lower than classification accuracy. Stand type had the lowest accuracy of 32.8. In conclusion, it could be stated that development stages, crown closure and land cover could be determined at an acceptable level using Landsat 7 ETM image. However, Landsat 7 ETM image do not provide means to map and monitor minor vegetation communities and stand types at stand level due to low spatial resolution. High resolution satellite images could be used either alone or with field survey data.en_US
dc.identifier.doi10.3390/s8042509en_US
dc.identifier.endpage2525en_US
dc.identifier.issn1424-8220
dc.identifier.issue4en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage2509en_US
dc.identifier.urihttps://doi.org/10.3390/s8042509
dc.identifier.urihttps://hdl.handle.net/20.500.12684/6272
dc.identifier.volume8en_US
dc.identifier.wosWOS:000256642400023en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakPubMeden_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherMdpien_US
dc.relation.ispartofSensorsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectforest managementen_US
dc.subjectGISen_US
dc.subjectlandsat 7 ETM imageen_US
dc.subjectspatial analysisen_US
dc.subjectstand parametersen_US
dc.titleEstimation of stand type parameters and land cover using Landsat-7 ETM image: A case study from Turkeyen_US
dc.typeArticleen_US

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