Investigating Land Use Changes In Tajyar Dam Basin Using The Erdas Software

Revealing changes is one of the basic needs in managing and evaluating natural resources. Therefore, the map of user changes that is the result of the process of detecting changes can be made based on multivariate images of remote sensing. The purpose of this research is to classify the images of the Tajyar Dam in three years to find out the extent of change in land cover and land covered with vegetation. Remote sensing techniques are the best means for extracting land use maps. In this study land use changes in the Tajyar dam basin have been studied using the supervised classifications in Erdas software. The Tajyar Dam Basin with an area of 10898 ha is located in East Azarbaijan province and Sarab city. In the study area, two landslide satellite images from1996 and 2006 and 2015 were categorized. The results indicate that 2007 hectares of lands covered with vegetation have been reduced and added to dry lands. This change has been caused due to severe agricultural activities, plowing and unplanned grooves. The effect of cold air currents in the northwest of the country has caused the region to have a semi-arid climate of cold. Due to the aforementioned limitation and the state of consumption of agricultural products and the lack of attention to the ability of agricultural land, farming in areas that have no potential for doing this activity has reduced the quality of vegetation. The supervised classification in this method was carried out with an overall accuracy of 87%, which is acceptable at the level.