Detection and investigation of aerodrome tree obstacles: Tokat case study

One of the most important factors to consider when establishing an airport is the natural and artificial structures inside and outside the airport. These natural and artificial factors may cause the limitation of take-off and landing distances, and there are airports in our country where the natural hills on the approach-departure line cause flight restrictions due to the location of the airport. In order to ensure flight safety, it is necessary to detect obstacles around the airport and to provide them to the navigation units to form a basis for procedural design. For an airport with a runway, it is a very difficult and costly method to measure and detect thousands of structures within the obstacle plan, which corresponds to an area of approximately 220 km², by terrestrial methods. Instead, it is possible to detect obstacles in a short time and with high accuracy with the support of geographic information system software using maps and surface models produced from satellite images and aerial photographs with high resolution. In this study, the orthoimage, DTM and DSM data generated from the aerial images and the obstacle plan converted to the surface model were extracted from pixel to pixel, the obstacles were detected, and the projection of tree obstacles was made for the Tokat Airport with the amount of tree sprout learned.