High-resolution land use and land cover change analysis using GEOBIA and landscape metrics: A case of Istanbul, Turkey
Yazarlar (4)
Dr. Öğr. Üyesi Raziye Hale Topaloğlu İstanbul Teknik Üniversitesi, Türkiye
Doç. Dr. Gül Aslı BOZBAY Kastamonu Üniversitesi, Türkiye
Yusuf Alizade Govarchin Ghale
İstanbul Teknik Üniversitesi, Türkiye
İstanbul Teknik Üniversitesi, Türkiye
Elif Sertel
İstanbul Teknik Üniversitesi, Türkiye
İstanbul Teknik Üniversitesi, Türkiye
| Makale Türü | Özgün Makale (SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale) | ||
| Dergi Adı | Geocarto International (Q1) | ||
| Dergi ISSN | 1010-6049 Wos Dergi Scopus Dergi | ||
| Dergi Tarandığı Indeksler | SCI-Expanded | ||
| Makale Dili | İngilizce | Basım Tarihi | 12-2022 |
| Cilt / Sayı / Sayfa | 37 / 25 / 9071–9097 | DOI | 10.1080/10106049.2021.2012273 |
| Makale Linki | https://www.tandfonline.com/doi/full/10.1080/10106049.2021.2012273 | ||
| UAK Araştırma Alanları |
Coğrafi Bilgi Sistemleri
Peyzaj Planlama
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| Özet |
| Determination of the spatio-temporal distribution of Land use and Land cover (LU/LC) is important to understand the dynamics of urbanization, agricultural abandonment, and industrialization. This study aims to create multi-temporal high-resolution LU/LC maps and analyze thematically extensive LU/LC changes using Geographic Object-Based Image Analysis (GEOBIA) and Landscape Metrics for the selected study region in the Istanbul metropolitan city of Turkey. HR SPOT 6/7 images acquired in 2009, 2013, and 2019 were used as main Earth Observation data to create LU/LC maps. Open-source geospatial data were also integrated into classification to better identify some LU/LC classes to increase total classification accuracy. Overall classification accuracy of 2009, 2013, and 2019 dated LU/LC maps are 87.45%, 88.16%, 90.74% respectively. Principal Component Analysis (PCA) and Pearson correlation were … |
| Anahtar Kelimeler |
| CORINE | Geographic Object-Based Image Analysis (GEOBIA) | Landscape Metrics | SPOT | URBAN ATLAS |
BM Sürdürülebilir Kalkınma Amaçları
| Atıf Sayıları | |
| Web of Science | 18 |
| Scopus | 20 |
| Google Scholar | 38 |