High-resolution land use and land cover change analysis using GEOBIA and landscape metrics: A case of Istanbul, Turkey. Issue 25 (13th December 2022)

• Record Type: Journal Article
• Authors: Topaloğlu, Raziye Hale; Aksu, Gül Asli; Ghale, Yusuf Alizade Govarchin; Sertel, Elif
• Is Part Of: Geocarto international. Volume 37:Issue 25(2023)
• Page Start: 9071
• Page End: 9097
• Publication Date: 2022-12-13
• Subjects: Geographic Object-Based Image Analysis (GEOBIA) -- CORINE -- URBAN ATLAS -- SPOT -- Landscape Metrics; Remote sensing -- Periodicals; Geographic information systems -- Periodicals; Geology -- Periodicals; Cartography -- Periodicals; 621.3678
• DOI: 10.1080/10106049.2021.2012273
• Languages: English
• ISSNs: 1010-6049

Abstract

Abstract: 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 used to selecting the landscape metrics and evaluate the results. PCA resulted in three principal components and the total variance was found as 87.3%.