Volume 19, Issue 4-2, December 2015
LAND COVER CHANGE DETECTION BY USING REMOTE SENSING – A CASE STUDY OF ZLATIBOR (SERBIA)
Authors: Dušan Jovanović, Miro Govedarica, Filip Sabo, Željko Bugarinović, Olivera Novović, Teo Beker, Miloš Lauter
Abstract: Change detection is a process of detecting differences with the objects or phenomena which are observed in the different time intervals. In this study different methods of analyzing satellite images are presented, with the aim to identify changes in land cover in a certain period of time (1985 – 2013). The area observed in this study is the region of mountain Zlatibor (Serbia) with its surroundings. The meth ods represented in this study are vegetation indices differencing, Supervised classifcation and Object based classifcation. These methods gave different results in term of land cover area, and it is generally concluded that supervised classifcation gave the most accurate results with the images of medium spatial resolution. The results of this study can be used for urban and environmental planning. All infor mation lead to conclusion that the surface under the forests is reduced for about 4% (or about 1000 ha) while the built up area has doubled (grown about 600 ha) during the examined period. The results also highlights the importance of change detection techniques in land cover for the areas that are developing rapidly, such as Zlatibor study area.
Keywords: remote sensing, change detection, Landsat, supervised classifcation, OBIA
Article info: 162-173
Received: June 1, 2015 | Revised: July 29, 2015 | Accepted: October 30, 2015