Land use changes in the suburbs of Urmia in northwestern Iran using Landsat image processing

Abstract

                                                  ABSTRACT

Investigating land use/land cover changes in the suburbs is one of the interesting topics Attention is especially for city managers. Satellite image processing it is the most important source of information in this regard. In this study, Landsat 7 and 8 satellite images were used. Initially, preliminary projections including geometric and radiometric corrections were performed. After selecting the ground control points then using the max method Similar image classification was performed for 2000 and 2020 and 4 vegetation classes, landscaped, Rocky and barren lands were identified. Comparing the two land use maps, the changes show that the city during this period it has expanded a lot, so that user conversion bare soil and vegetation to the constructed lands were 1642 and 1603 hectares, respectively. The results show that if the changes continue in the same way the study area will be further transformed in the future.

Keywords: Remote sensing, land use, change recognition, Urmia, Landsat