One of the areas most at risk of forest fires in Turkey is the Mediterranean region. Although the reasons for fire outbreaks change over the years, they result in the loss of forest assets in the area due to fire. Fires also cause major ecological damage. Forest fires reduce or eliminate many forms of vegetation from the land surface. The Kavaklıdere-Muğla-Yatağan-Yılanlı fire, which occurred between 2 and 8 August 2021, damaged a large area. Therefore, the study aims to investigate the land use and land cover (LULC) changes in 2020, 2021 and 2024 in Kavaklıdere district, Muğla. In this study, six LULC classes, agriculture (A), bare + other (BO), forest (F), urban (U), water (W) and burned areas (BA), were obtained using Sentinel-2 satellite imagery with the random forest classification technique on the Google Earth Engine (GEE) platform. In addition, land surface temperature (LST) data were obtained using the splitwindow algorithm on Landsat-8 data. The results show that LULC changes are clearly in fireaffected areas and that LST values are particularly high in burned areas compared to other classes. The results demonstrate the effectiveness of remote sensing techniques in monitoring changes in land cover and surface temperature following fire.
저자
Eda Aşci [ Bursa Technical University, Department of Forest Engineering, Faculty of Forestry, Bursa, Turkey ]
Burak Arıcak [ Bursa Technical University, Department of Forest Engineering, Faculty of Forestry, Bursa, Turkey ]
Corresponding Author
Hakan Şevik [ Kastamonu University, Department of Environmental Engineering, Faculty of Engineering and Architecture, Bursa, Turkey ]
