Akademik Veri Yönetim Sistemi
29th EARSeL Symposium, Chania, Yunanistan, 15 - 18 Haziran 2009, ss.404-411
Hazard monitoring and evaluation have been a significant issue of remote sensing applications. Forest fires as being the most frequent hazard, are effectively evaluated in terms of damage assessment and regeneration monitoring, by means of remote sensing technology involving mid / high resolution satellites with visible and NIR sensors. The major objective of this paper is to analyze and authenticate the burned area due to the forest fire on dates between July 31 & August 5, 2008 at Manavgat and Serik districts of Antalya, Turkey; using SPOT 4 satellite images and feature extraction techniques of remote sensing. Geometric correction and normalized difference vegetation index transformation were applied to the image data sets and supervised / unsupervised classification techniques were used in order to extract the burned and partially damaged forest areas. Post-classification accuracies were evaluated using a confusion matrix including errors of omission and commission, user's and producer's accuracy percentages. The results are compared with local forest management data and analyzed within a geographical information system.