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Analysis of the association between image resolution and landscape metrics using multi-sensor LULC maps.       
Yazarlar
BERİL VAROL
SZABO SZILARD
TOPALOĞLU RAZİYE HALE
Türkiye
Doç. Dr. Gül Aslı BOZBAY
Kastamonu Üniversitesi, Türkiye
SERTEL ELİF
İstanbul Teknik Üniversitesi, Türkiye
Özet
This study aims to investigate the changes in landscape metrics with varying spatial resolution from Sentinel-2 (10 m), SPOT 7 (1.5 m), Pleaides (0.5 m), and Worldview-4 (0.3 m) images. We implemented Geographic Object-Based Image Analysis (GEOBIA) techniques to all images to identify 21 land use and land cover (LULC) classes, which were then used to calculate several landscape metrics. We performed the Welch hypothesis testing on the class-level landscape metrics and applied Standardized Principal Component Analysis (PCA) with the correlation matrix to reveal the multivariate pattern of landscape metrics. Our results showed that 10 m and even the 1.5 m spatial resolutions cannot guarantee the identification of all LULC classes, and class areas change with varying spatial resolution (sometimes with 200% differences). Sentinel-2 images have some limitations, specifically from the landscape ecological planning perspective; on the other hand, Pleaides and Worldview-4 seem good alternatives to understand habitats’ viability and landscape isolation/connectivity.
Anahtar Kelimeler
GEOBIA | land use/land cover (LULC) mapping | landscape pattern | spatial resolution | urban habitats
Makale Türü Özgün Makale
Makale Alt Türü SSCI, AHCI, SCI, SCI-Exp dergilerinde yayımlanan tam makale
Dergi Adı Journal of Environmental Planning and Management
Dergi ISSN 1360-0559
Dergi Tarandığı Indeksler SSCI
Dergi Grubu Q1
Makale Dili İngilizce
Basım Tarihi 02-2024
Cilt No 67
Sayı 10
Sayfalar 2281 / 2302
Doi Numarası 10.1080/09640568.2023.2185507
Makale Linki https://www.tandfonline.com/doi/full/10.1080/09640568.2023.2185507?src=