SPATIOTEMPORAL CHANGE DETECTION USING LANDSAT IMAGERY: THE CASE STUDY OF KARACABEY FLOODED FOREST, BURSA, TURKEY

Basit Öğe Kaydı
dc.authorid0000-0001-6558-9029en_US
dc.contributor.authorAkay, Abdullah Emin
dc.contributor.authorGencal, B.
dc.contributor.authorTas, I
dc.date.accessioned2021-03-20T20:14:18Z
dc.date.available2021-03-20T20:14:18Z
dc.date.issued2017
dc.departmentBTÜ, Orman Fakültesi, Orman Mühendisliği Bölümüen_US
dc.description4th International Workshop on Geoinformation Science / 4th ISPRS International Workshop on Multi-Dimensional and Multi-Scale Spatial Data Modeling (GeoAdvances) -- OCT 14-15, 2017 -- Karabuk Univ, Safranbolu Campus, Safranbolu, TURKEYen_US
dc.descriptionAkay, Abdullah Emin/0000-0001-6558-9029en_US
dc.description.abstractThis short paper aims to detect spatiotemporal detection of land use/land cover change within Karacabey Flooded Forest region. Change detection analysis applied to Landsat 5 TM images representing July 2000 and a Landsat 8 OLI representing June 2017. Various image processing tools were implemented using ERDAS 9.2, ArcGIS 10.4.1, and ENVI programs to conduct spatiotemporal change detection over these two images such as band selection, corrections, subset, classification, recoding, accuracy assessment, and change detection analysis. Image classification revealed that there are five significant land use/land cover types, including forest, flooded forest, swamp, water, and other lands (i.e. agriculture, sand, roads, settlement, and open areas). The results indicated that there was increase in flooded forest, water, and other lands, while the cover of forest and swamp decreased.en_US
dc.description.sponsorshipInt Soc Photogrammetry & Remote Sensingen_US
dc.identifier.doi10.5194/isprs-annals-IV-4-W4-31-2017en_US
dc.identifier.endpage35en_US
dc.identifier.issn2194-9042
dc.identifier.issn2194-9050
dc.identifier.issueW4en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage31en_US
dc.identifier.urihttp://doi.org/10.5194/isprs-annals-IV-4-W4-31-2017
dc.identifier.urihttps://hdl.handle.net/20.500.12885/1030
dc.identifier.volume4-4en_US
dc.identifier.wosWOS:000568997100006en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.institutionauthorAkay, Abdullah Emin
dc.language.isoenen_US
dc.publisherCopernicus Gesellschaft Mbhen_US
dc.relation.ispartof4Th International Geoadvances Workshop - Geoadvances 2017: Isprs Workshop On Multi-Dimensional & Multi-Scale Spatial Data Modelingen_US
dc.relation.ispartofseriesISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectSpatiotemporal changeen_US
dc.subjectLand use/Land coveren_US
dc.subjectProtected areasen_US
dc.subjectKaracabey flooded foresten_US
dc.titleSPATIOTEMPORAL CHANGE DETECTION USING LANDSAT IMAGERY: THE CASE STUDY OF KARACABEY FLOODED FOREST, BURSA, TURKEYen_US
dc.typeConference Objecten_US

Dosyalar

Orijinal paket
Listeleniyor 1 - 1 / 1
Küçük Resim
İsim:
1d6aea477363560faf7058e38f9c453a2f6e.pdf
Boyut:
1.25 MB
Biçim:
Adobe Portable Document Format
Açıklama:
Tam Metin / Full Text
İndir

Koleksiyon

WoS İndeksli Yayınlar Koleksiyonu
Orman Mühendisliği Bölümü Yayın Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu