Land cover change detection by using remote sensing: A case study of Zlatibor (Serbia)
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 - 201...
Main Authors: | , , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
University of Novi Sad, Department of Geography, Tourism and Hotel Management
2015-01-01
|
Series: | Geographica Pannonica |
Subjects: | |
Online Access: | http://scindeks-clanci.ceon.rs/data/pdf/0354-8724/2015/0354-87241504162J.pdf |
_version_ | 1811286400641794048 |
---|---|
author | Jovanović Dušan Govedarica Miro Sabo Filip Bugarinović Željko Novović Olivera Beker Teo Lauter Miloš |
author_facet | Jovanović Dušan Govedarica Miro Sabo Filip Bugarinović Željko Novović Olivera Beker Teo Lauter Miloš |
author_sort | Jovanović Dušan |
collection | DOAJ |
description | 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 methods represented in this study are vegetation indices differencing, Supervised classification and Object based classification. These methods gave different results in term of land cover area, and it is generally concluded that supervised classification 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 information 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. |
first_indexed | 2024-04-13T02:59:11Z |
format | Article |
id | doaj.art-e53a2162b1314648bbbb0acbe367e108 |
institution | Directory Open Access Journal |
issn | 0354-8724 1820-7138 |
language | English |
last_indexed | 2024-04-13T02:59:11Z |
publishDate | 2015-01-01 |
publisher | University of Novi Sad, Department of Geography, Tourism and Hotel Management |
record_format | Article |
series | Geographica Pannonica |
spelling | doaj.art-e53a2162b1314648bbbb0acbe367e1082022-12-22T03:05:31ZengUniversity of Novi Sad, Department of Geography, Tourism and Hotel ManagementGeographica Pannonica0354-87241820-71382015-01-011941621730354-87241504162JLand cover change detection by using remote sensing: A case study of Zlatibor (Serbia)Jovanović Dušan0Govedarica Miro1Sabo Filip2Bugarinović Željko3Novović Olivera4Beker Teo5Lauter Miloš6University of Novi Sad, Faculty of Technical Sciences, Novi SadUniversity of Novi Sad, Faculty of Technical Sciences, Novi SadUniversity of Novi Sad, Faculty of Technical Sciences, Novi SadUniversity of Novi Sad, Faculty of Technical Sciences, Novi SadUniversity of Novi Sad, Faculty of Technical Sciences, Novi SadUniversity of Novi Sad, Faculty of Technical Sciences, Novi SadUniversity of Novi Sad, Faculty of Technical Sciences, Novi SadChange 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 methods represented in this study are vegetation indices differencing, Supervised classification and Object based classification. These methods gave different results in term of land cover area, and it is generally concluded that supervised classification 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 information 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.http://scindeks-clanci.ceon.rs/data/pdf/0354-8724/2015/0354-87241504162J.pdfremote sensingchange detectionLandsatsupervised classificationOBIA |
spellingShingle | Jovanović Dušan Govedarica Miro Sabo Filip Bugarinović Željko Novović Olivera Beker Teo Lauter Miloš Land cover change detection by using remote sensing: A case study of Zlatibor (Serbia) Geographica Pannonica remote sensing change detection Landsat supervised classification OBIA |
title | Land cover change detection by using remote sensing: A case study of Zlatibor (Serbia) |
title_full | Land cover change detection by using remote sensing: A case study of Zlatibor (Serbia) |
title_fullStr | Land cover change detection by using remote sensing: A case study of Zlatibor (Serbia) |
title_full_unstemmed | Land cover change detection by using remote sensing: A case study of Zlatibor (Serbia) |
title_short | Land cover change detection by using remote sensing: A case study of Zlatibor (Serbia) |
title_sort | land cover change detection by using remote sensing a case study of zlatibor serbia |
topic | remote sensing change detection Landsat supervised classification OBIA |
url | http://scindeks-clanci.ceon.rs/data/pdf/0354-8724/2015/0354-87241504162J.pdf |
work_keys_str_mv | AT jovanovicdusan landcoverchangedetectionbyusingremotesensingacasestudyofzlatiborserbia AT govedaricamiro landcoverchangedetectionbyusingremotesensingacasestudyofzlatiborserbia AT sabofilip landcoverchangedetectionbyusingremotesensingacasestudyofzlatiborserbia AT bugarinoviczeljko landcoverchangedetectionbyusingremotesensingacasestudyofzlatiborserbia AT novovicolivera landcoverchangedetectionbyusingremotesensingacasestudyofzlatiborserbia AT bekerteo landcoverchangedetectionbyusingremotesensingacasestudyofzlatiborserbia AT lautermilos landcoverchangedetectionbyusingremotesensingacasestudyofzlatiborserbia |