Detection of land use change and land cover using satellite imagery and geographic information system( case study area: Mazandaran province)

In Iran, due to the lack of a well-defined and stable development strategy, there has not been a continuous trend of sustainability in the type and scope of activities and applications. These conditions have brought about rapid and permanent changes to certain activities and uses following the economic, social and political transition of the country.In the meantime, the use of remote sensing technology is known as the best means of detecting and evaluating variations, as the advances made in this technology and the production spatial and satellite images, as well as various image processing techniques land use changes can be estimated and applied to their management. the purpose of this study was to detect land use change in northwestern plain of Mazandaran province.in this paper, the non-classified classification method has the maximum probability of classification of satellite images with a time series of 27 years in five agricultural, urban, forest, water and cloud areas, with urban and water areas being increased with coverage forest and agriculture and clouds. satellite images of 1366 and 1393 were classified with kappa coefficient of 0.95 and 0.98, respectively. According to the results of remote sensing, a suitable method is in the field of land use mapping and land use change.