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Determining potential planting areas in urban regions

dc.contributor.authorVarol, Tuğrul
dc.contributor.authorGormus, Sevgi
dc.contributor.authorCengiz, Serhat
dc.contributor.authorÖzel, Halil Barış
dc.contributor.authorCetin, Mehmet
dc.date.accessioned2026-01-04T12:42:10Z
dc.date.issued2019-02-13
dc.description.abstractImpermeable surfaces are getting larger in Turkey, as they are in most parts of the world as urban sprawl increases. The increase in impermeable surfaces leads to air pollution, floods, and overflows due to changes in urban landscapes and ecosystems. In order to prevent such damages, impermeable surfaces must be reduced by the means of urban afforestation. The main purpose of this study is to determine which areas are suitable for urban afforestation, and thus to improve the ecological conditions of the city. Accordingly, the study adopts a method that takes urban density into account. Satellite image classification, canopy measurement and determination of potential afforestation areas have been performed within the boundaries of Bartın Municipality. The IKONOS satellite images have been taken as a base for the study, which has been carried out via ENVI, GIS, and SPSS techniques and Tree Canopy Cover. By excluding the too-small spaces within the study area, as well as the ones too close to infrastructural facilities, I have been able to identify potential planting areas using GIS-based decision-making mechanisms. The existing trees and other plant covers have been noted in order to plan the potential plant cover.Considering the locational suitability of the planting areas and the canopy of the trees, the planting areas have been set out using three grid types: 15 × 15 m (large tree), 10 × 10 m (medium tree), and 5 × 5 m (small tree). A total of 29,773 potential trees have been planned for. After corrections, the potential canopy cover has been calculated to be 0.71 km2. Of the potential trees, 93.34% are small, 5.23% are medium, and 1.43% are large trees. If the potential planting areas determined in this study are forested as calculated, the canopy in Bartın city will increase by approximately 2%. In the city, where impermeable surface areas have expanded because of rapid urban sprawl, this new increase will make an important contribution to the improvement of the city's ecosystem.
dc.description.urihttps://doi.org/10.1007/s10661-019-7299-1
dc.description.urihttps://pubmed.ncbi.nlm.nih.gov/30758684
dc.description.urihttps://dx.doi.org/10.1007/s10661-019-7299-1
dc.description.urihttp://hdl.handle.net/11772/10175
dc.description.urihttp://hdl.handle.net/11772/12640
dc.description.urihttps://hdl.handle.net/11772/22312
dc.identifier.doi10.1007/s10661-019-7299-1
dc.identifier.eissn1573-2959
dc.identifier.issn0167-6369
dc.identifier.openairedoi_dedup___::fb6d01ff23be7f8f1b793a878d0d06c9
dc.identifier.orcid0000-0002-4892-622x
dc.identifier.orcid0000-0002-9449-8940
dc.identifier.orcid0000-0001-9518-3281
dc.identifier.orcid0000-0002-8992-0289
dc.identifier.pubmed30758684
dc.identifier.scopus2-s2.0-85061492920
dc.identifier.urihttps://hdl.handle.net/20.500.12597/37229
dc.identifier.volume191
dc.identifier.wos000458635200001
dc.language.isoeng
dc.publisherSpringer Science and Business Media LLC
dc.relation.ispartofEnvironmental Monitoring and Assessment
dc.rightsOPEN
dc.subjectConservation of Natural Resources
dc.subjectEcology
dc.subjectTurkey
dc.subjectUrbanization
dc.subjectUrban Forest
dc.subjectPotential Planting Area
dc.subjectManagement, Monitoring, Policy and Law
dc.subjectForests
dc.subjectGis
dc.subjectTrees
dc.subjectRemote Sensing
dc.subjectTree Canopy Cover
dc.subjectUrban Planting
dc.subjectAir Pollution
dc.subjectCities
dc.subjectEcosystem
dc.subjectEnvironmental Monitoring
dc.subject.sdg15. Life on land
dc.subject.sdg13. Climate action
dc.subject.sdg11. Sustainability
dc.titleDetermining potential planting areas in urban regions
dc.typeArticle
dspace.entity.typePublication
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Accordingly, the study adopts a method that takes urban density into account. Satellite image classification, canopy measurement and determination of potential afforestation areas have been performed within the boundaries of Bartın Municipality. The IKONOS satellite images have been taken as a base for the study, which has been carried out via ENVI, GIS, and SPSS techniques and Tree Canopy Cover. By excluding the too-small spaces within the study area, as well as the ones too close to infrastructural facilities, I have been able to identify potential planting areas using GIS-based decision-making mechanisms. The existing trees and other plant covers have been noted in order to plan the potential plant cover.Considering the locational suitability of the planting areas and the canopy of the trees, the planting areas have been set out using three grid types: 15 × 15 m (large tree), 10 × 10 m (medium tree), and 5 × 5 m (small tree). A total of 29,773 potential trees have been planned for. After corrections, the potential canopy cover has been calculated to be 0.71 km2. Of the potential trees, 93.34% are small, 5.23% are medium, and 1.43% are large trees. If the potential planting areas determined in this study are forested as calculated, the canopy in Bartın city will increase by approximately 2%. 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