assessment of the trend of salt and water variation in urmia lake using object-oriented processing of landsat satellite images

over the past years, lake water levels have decreased considerably by various factors and the subsequent emergence of salt plain has brought disastrous consequences that need an essential action. therefore, this study aimed to investigate the effects of drying up and increasing lake water salt and landsat satellite images were used during different time periods in 9 years. to identify the new and old salt, and also the rate of water regression, object-oriented processing method was used. in this type of classification in addition to spectral data, texture and content information is also used. after the segment, the different types of indicators, salinity, light and vegetation were applied on images. the results show that annual changes in lake water levels, as well as new and old salt changes in annual terms were significant. finally, classification accuracy assessment parameters were calculated 96.0 and kappa coefficient 92.0. which implies the ability of object oriented classification process phenomena in the earth's surface.