Classification and Detection of Land Use Changes in Orumieh City Using Object Oriented Method in the period 2009-2018

The study of changes in land cover and land use from the distant past on the surface of the earth, which usually occurs in two ways, the first type is changes caused by natural factors such as: erosion, tectonic forces or floods and the type The second is the changes that are imposed by humans on the earth due to the non-standard use of available resources. Land use is a description of the type of human exploitation for one or more purposes on a piece of land. Satellite data is one of the fastest and least costly methods for researchers to map land use. The analysis of these data can provide insight into human interaction with the natural environment. Investigations of land cover changes and land use have long been discussed at the ground level. Land use change is a process that enables the observation and detection of time series differences and phenomena, events and patterns of land surface. The present study is an example of applications of remote sensing technology in urban resource management in which land use changes in Urmia city were evaluated over a 9 year period (2018-2019). This research is a descriptive-analytical study and data collection was done by documentary method. To do this research, Landslide MTL satellite images of SPOT8 and SPOT 5 were used and image classification was performed by using object-oriented classification method. Then, in the Area ARC GIS environment, the user classification area was evaluated. Change detection method was used for land use change process. Evaluation of land use results shows that during the study period the area of Urmia changed from 1597.551296 km square in 2009 to 1678.3902 km square in 2018. The highest level of changes in percentage of land use in the period 2009 to 2018 was related to rangelands and the least changes were to saltwater.