Analysis of the association between image resolution and landscape metrics using multi-sensor LULC maps.
Yazarlar (5)
Beril Varol
İstanbul Teknik Üniversitesi, Türkiye
Szilard Szabo Debreceni Egyetem Természettudományi és Technológiai Kar, Macaristan
Dr. Öğr. Üyesi Raziye Hale Topaloğlu Yıldız Teknik Üniversitesi, Türkiye
Doç. Dr. Gül Aslı BOZBAY Kastamonu Üniversitesi, Türkiye
Elif Sertel
İstanbul Teknik Üniversitesi, Türkiye
Makale Türü Özgün Makale (SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale)
Dergi Adı Journal of Environmental Planning and Management (Q1)
Dergi ISSN 0964-0568 Wos Dergi Scopus Dergi
Dergi Tarandığı Indeksler SSCI
Makale Dili İngilizce Basım Tarihi 02-2024
Cilt / Sayı / Sayfa 67 / 10 / 2281–2302 DOI 10.1080/09640568.2023.2185507
Makale Linki https://www.tandfonline.com/doi/full/10.1080/09640568.2023.2185507?src=
UAK Araştırma Alanları
Coğrafi Bilgi Sistemleri Peyzaj Planlama Peyzaj Yönetimi
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 …
Anahtar Kelimeler
GEOBIA | land use/land cover (LULC) mapping | landscape pattern | spatial resolution | urban habitats
BM Sürdürülebilir Kalkınma Amaçları
Atıf Sayıları
Web of Science 7
Scopus 8
Google Scholar 12
Analysis of the association between image resolution and landscape metrics using multi-sensor LULC maps.

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