Change Detection in Urban Area Using Landsat Data; Gaziantep Case Study in Turkey
Arid and semi-arid regions have different spectral characteristics relative to other temperate part of the world. Therefore, indices have been developed in order to eliminate spectral mixing between built-up and bare land classes in land use/land cover classification of these regions. In this study, various indices have been compared in order to increase the accuracy of change detection in a semi-arid region of Turkey. The aim of this study is to determine the variation of built-up/bare land boundaries using urban indices in Gaziantep city located at the Southeastern part of Turkey. For this purpose, Landsat 5 TM and Landsat 8 OLI images of two different dates (1985 and 2018) were used. The normalized difference built-up index (NDBI), Enhanced built-up and bareness index (EBBI), together with spectral bands were compared and evaluated using binary change detection method. Based on the performance evaluation, 2 σ (81.37%) and 1 σ (80%) thresholds were found appropriate for blue band and NDBI images.