چكيده لاتين :
This research presents a semi-automated object-based image analysis (OBIA) methodology for landslide delineation. The main objective of this research is to examine the integrated approach of Fuzzy rule based classification and OBIA for landslides bodies’ delineation in the Urmia lake basin, Northern Iran. We use IRS and SPOT satellite images in combination a DEM, slope, flow direction and curvature maps. A sequence of image segmentation, feature selection, object classification and error balancing was developed and tested on a variety of sample datasets (current landslide inventory) of the study area. In order to compute the accuracy an error matrix and overall accuracy were calculated. An overall accuracy was about 93.07 % which reveals the high reliability of obtained landslide inventory map. The results confirm the potential of OBIA to derive detailed and accurate information for landslide delineating from high resolution satellite images at multiple scales and the results highlight important landslide monitoring and management implications. We conclude that there is a potentiality to improve the accuracy either by considering further parameters during rule-based classification or using satellite images with a higher spatial resolution.
