Study and survey of land use change using object-oriented classification technique (Case study: Ghuchan-Shirvan basin)

Accordingly, the study of land use change, given the significant effects that this phenomenon has on human life and the environment, seems necessary. At present, remote sensing as an ideal resource provides users with the necessary and sufficient facilities to be aware of land use changes and human land use, by extracting and updating land cover maps. Accordingly, the present study was conducted to investigate land use changes by object-oriented classification in the Quchan-Shirvan catchment, located between the provinces of North Khorasan and Khorasan Razavi during the years 1998 to 1397. For this purpose, first, TM and OLI images of Landsat 5 and 8 satellites have been prepared for the desired years, and through these images, land cover maps of the study area with object-oriented classification method in six classes of residential areas, irrigated lands. , Rainfed lands, fallow lands, water levels and pastures were obtained. Finally, through land use maps, land cover changes during the studied years in terms of area quantity, spatial distribution and trend of changes were examined using the LCM model. The results of this study showed that during the study period, fallow and rainfed land uses have a decreasing trend and residential uses, irrigated lands, rangelands and water levels have an increasing trend; As the most changes related to rainfed land use decreased by 23,729 hectares, and pasture land use increased by 35,935 hectares, are among the major changes in the study area.