The Use of Land Cover Indices for Rapid Surface Urban Heat Island Detection from Multi-Temporal Landsat Imageries

The aims of this study were to determine surface urban heat island (SUHI) effects and analyze the land use/land cover (LULC) temperature (LST) changes for 11 time periods from years 2002 2020 using Landsat series images. Bursa, which is fourth largest metropolitan city in Turkey, was selected as area, multi-temporal images summer season used. Firstly, normalized difference vegetation index (NDVI), soil-adjusted (SAVI), modified water (MNDWI) index-based built-up (IBI) created bands images, LULC classes determined by applying automatic thresholding. LST values calculated thermal SUHI determined. results show that NDVI, SAVI, MNDWI IBI indices can be used effectively determination urban, studies, with overall classification accuracies between 89.60% 95.90% According obtained results, generally increased almost all areas 2020. magnitudes computed two methods, it found there an important increase 18-year period.