Detecting cover/land use change with object-oriented processing of satellite images in Idrisi Selvi software (Case study: Abdanan region)

The impacts of human activities and natural events have changed the face of the earth. So, for the optimal management of natural areas, awareness of change of land is necessary. This study was carried out to detect changes in cover/land use of Abdanan region over a period of 25 years. For doing research, images of the years of 1985, 2000 and 2010 from sensors of TM, ETM+ and TM were used and after the corrections needed in preprocessing stage, the object-oriented classification method of images in Idrisi Selvi software, change detection maps prepared and presented results. The results show that during the years 1985 to 2010 are the trend of reduction of fair and good rangeland that indicate the general trend of deterioration in the region through replacement fair and good range by other land use as poor rangeland and barren land. Assessing the accuracy of the extracted parameters (Overall accuracy and Kappa coefficient of %95 and 0.94, respectively), indicating the high accurcy of the method of classification. The results obtained from this study show that he object-oriented classification method is also used for preparing of cover/land use maps and change detection.