Integrating GIS and remote sensing for evaluation and monitoring of Omerli Region, Istanbul

The purpose of this study is to determine land use changes in an area using remotely sensing and GIS data. The analysis of the remotely sensed imagery and its integration with digital spatial data consisted of four major steps: 1) Landsat TM and SPOT P data were referenced to UTM projection System; 2) SPOT P and Landsat TM images were merged to provide high resolution land use/land cover information; 3) Unsupervised and supervised classification techniques were applied to the images to establish a land use and land cover GIS database, which was subsequently used for change detection analysis, and 4) An accuracy assessment was applied to the classification results to determine the overall accuracy of the study. For classified images of 1992, overall classification was 83.3 percent and for the classified images of 1997 was 80.3 percent. Finally the raster data were converted to vector data and were used in a GIS.