Journal of Engineering Research and Reports

With more than 50 years of proximity to Tehran metropolis, the Kehrizak waste center has had destructive effects on the environment with the development of Tehran and the significant increase in waste production, including the change of land use units that are always affected by natural events, human actions, social issues and Economic. In this research, using Landsat 8 satellite images and remote sensing technique, the land use changes of Kahrizek waste center in thematic maps that are more accessible to users. Five vegetation indices NDVI, EVI, SAVI, LAI and VCI and six supervised classifications are investigated. Several methods were evaluated, parameters of overall accuracy and kappa coefficient. For this research, 4 classes of soil, water, building (urban area) and agricultural land were selected, and the results showed that the maximum likelihood classification method was the best method with an overall accuracy of 90.99% and a kappa coefficient of 0.85 and high similarity. Then, using the maximum likelihood classification method as the most accurate method, a user map was prepared from all images from 2011 to 2022. After calculating the area of ​​the floors, the results showed that the area of ​​the building floor increased by 71% and the area of ​​the agricultural land floor decreased by 80%.