MULTITEMPORAL FOREST CHANGE ANALYSIS A CASE STUDY: SARIYER REGION

摘要

In this study, differentiability of vegetation at Sariyer, an area with rich forest due to its geographical situation and general characteristics, has been analysed through the satellite images used jointly with ground data, and temporal changes which occurred in forest lands have been determined. In order to evaluate multitemporal data sets (June 1984 and June 1997 Landsat TM) Sariyer region, located in the north of Istanbul was selected. In differentiating types of trees through satellite images, classification algorithms have been used by taking as basis the ground measurements carried out at Istanbul University, The Forest of Education and Research of the Faculty of Forestry which was selected as the test area. Firstly uncontrolled classification and then controlled classification algorithms have been applied to the test areas with different dates and to the entire area of study. Accuracy assessment were made to the classification results and the zonal values obtained were temporally compared.