Ph.D. Tezi Görüntüleme

Student: Burak ARICAK
Supervisor: Prof. Dr. Hulusi ACAR
Department: Orman Mühendisliği
Institution: Graduate School of Natural and Applied Sciences
University: Karadeniz Technical University, Turkey
Title of the Thesis: Determining Filling Area and Construction Impact Zone in Building Forest Roads by Using Remotely Sensed Data
Level: Ph.D.
Acceptance Date: 9/7/2008
Number of Pages: 100
Registration Number: Di646
Summary:

      This direction aims to plan environmentally friendly forest roads in the planning stage of a forest road by predetermining the areas impacted by road construction by investigating previously obtained remotely sensed data of road alignment at GIS database.

A forest road section (code number = 126) with the length of 3+081 km and its surroundings area, located in Alacadağ Forest Enterprise Chief at Torul Forest Enterprises Directorate, was selected as the study area. Satellite images of the study area, taken in the year of 2005 and 2005, were obtained, other data of the study area were entered and investigated in GIS database, and then a model was generated to predetermine the areas that are potentially subject to damages due to road construction.

      The results indicated that the constructions area of the sample road with the width of 20 m under normal conditions was 60 894,5 square meter, the constructions area which was estimated based on the satellite image taken after the construction was 67 763,2 square meter, and the actual constructions area measured by field studies was 75 127,5 square meter. The construction area which was calculated by the model developed in this study was 73 084,5 square meter with the accuracy error in the rate of -2,72 %. In the scope of the thesis, the rolling distance of the filling material brought about in the constructions work was also computed. The rolling area of the filing material of the sample forest road was measured as 95 236,2 square meter based on the field data. The impact area of the rolling material calculated by the model was 100 423,2 square meter with the accuracy error in the rate of +5,45 %. Two alternative road alignments were developed their filling and constructions impact areas were discussed.

With the help of the model developed in this thesis, constructions impact area formed by the rolling of the filling material and filling area of the forest roads will be able to be predetermined in planning stage. In a case where impact area exceeds the acceptable limit alignment changes will be able to be applied in the planning stage at forest roads. Therefore, by using remotely sensed data in forest road planning, area lost of forest as a live ecosystem and environmental damage will be minimized.

      

Key Words: Planning of Forest Road, Impact Areas of Filling and Constructions, Geographical Information System, Remote Sensing, Environmental Impact.