Havalimanı Ağaç Mânialarının Tespiti ve İncelenmesi: Tokat Örneği
Özet
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.
