SPATIOTEMPORAL CHANGE DETECTION USING LANDSAT IMAGERY: THE CASE STUDY OF KARACABEY FLOODED FOREST, BURSA, TURKEY
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Tarih
2017
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Copernicus Gesellschaft Mbh
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
This 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.
Açıklama
4th 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, TURKEY
Akay, Abdullah Emin/0000-0001-6558-9029
Akay, Abdullah Emin/0000-0001-6558-9029
Anahtar Kelimeler
Spatiotemporal change, Land use/Land cover, Protected areas, Karacabey flooded forest
Kaynak
4Th International Geoadvances Workshop - Geoadvances 2017: Isprs Workshop On Multi-Dimensional & Multi-Scale Spatial Data Modeling
WoS Q Değeri
N/A
Scopus Q Değeri
N/A
Cilt
4-4
Sayı
W4
