Determining the change in burnt forest areas with UAV: The example of Osmanbey campus
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Abstract
Satellite data provides information about the fire and makes a significant contribution to damage assessment and improvement studies. Especially with multi-band satellite systems, it is possible to precisely identify and quickly map the fire damaged areas. However, satellite systems may be insufficient in terms of both temporal and spatial resolution. In addition, it is not always applicable in terms of cost according to the area of the working area. Unmanned Aerial Vehicles (UAVs), which have become widespread in many disciplines in recent years and in which imaging systems are integrated, provide new opportunities in this regard. UAVs are relatively more economical, user-friendly and provide high spatial resolution, providing convenience and speed in examining land changes in a short time. It is possible to make different analyzes according to the features of the integrated imaging system. In this study, Triangular Greenness Index (TGI) was produced by using a UAV system with a digital camera with visible bands. The study area is the forested area damaged in the fire that occurred in 2020 on the Osmanbey campus of Harran University. The data used for the study were obtained from two UAV flights one week after the fire and two years later. Both flight altitudes were 120m. While the rate of green space in the study area was 0.3% after the 2020 fire, it was observed that this rate increased to 0.54% in 2022. Thus, the areas that were not damaged immediately after the fire and the areas that grew green after two years were determined. expressions should not be included in essence.
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