Land cover analysis using object based image analysis based on Landsat 8 OLI images in the city of Jember

Abstract

Jember area has a status as a PKW area (Regional Activity Center). This has resulted in diversifying activities of the population and increasing demand for land, so that land use change is inevitable. Real time land cover data updates in the City of Jember with Landsat 8 OLI imagery using OBIA can be used as an alternative to find out information on land cover classes. This study aims to determine the accuracy of land cover data extraction using OBIA. Using the OBIA method which involves the segmentation process with a multiresolution segmentation algorithm and a classification process with the nearest neighbor algorithm. The results showed the level of accuracy of land cover extraction using OBIA was 90%. These results indicate that the OBIA method for data extraction of land cover in urban areas has high accuracy.