Building Density Change Analysis with NDVI, NDBI and UI Analyzes (1999-2022): Yıldırım District (Bursa) Example

Abstract

Currently, various methods are used to detect changes in residential areas. In this study, changes in building density in Bursa's Y & imath;ld & imath;r & imath;m District between 1999 and 2022 were examined in detail using Geographic Information Systems (GIS) techniques and various index analyses. The analysis methods used were the Normalized Difference Vegetation Index (NDVI), the Normalized Difference Built-up Index (NDBI), and the Urbanization Index (UI). Thanks to these analyzes, changes in building density and green area distribution in Y & imath;ld & imath;r & imath;m District were analyzed in detail. NDVI analysis was found to be more effective in distinguishing residential areas and green areas compared to NDBI and UI analysis methods. It was determined that the changes in the density of construction were greater in neighborhoods such as 75.Y & imath;l, & Ccedil;& imath;nar & ouml;n & uuml;, Demetevler, Fidyek & imath;z & imath;k, Hacivat, & Idot;sabey, Karap & imath;nar, Mevlana, Millet, Siteler, & Scedil;irinevler, The results of the study show that index analyses, such as NDVI, NDBI, and UI, can be extremely effective tools in the fields of urban planning and environmental management on issues such as the expansion of urban areas, construction trends, and green area protection efforts. These techniques analyze the changes in construction density in Y & imath;ld & imath;r & imath;m district in detail and reveal the changes in settlement density and green area distribution. This study also allows us to understand the dynamics underlying these changes and, draws attention to the importance of sustainable urban development strategies.