Monitoring spatial and temporal land use/cover changes; a case study in Western Black Sea region of Turkey.

Rapid land use/land cover changes have taken place in many cities of Turkey. Land use and land cover changes are essential for wide range of applications. In this study, Landsat TM satellite imageries date from 1987, 1993, 2000 and 2010 were used to analyse temporal and spatial changes in the Western Black Sea Region of Turkey. Zonguldak and Eregli two largest and economic important cities which have been active coal mining and iron fabric areas. Maximum Likelihood Classification technique was implemented and the results were represented in classes of open area, forest, agricultural, water, mining, urban and pollution in the sea. Urban areas on both cities increased from 1987 to 2010. The agricultural and open areas from 1987 to 2010 decreased in parallel to land use and land cover change in both cities. Meanwhile, forest areas increased continuously with about 20 % from 1987 to 2010 in both cities. As industrial activity, the coal fields doubled from 1987 to 2010. © 2013 Indian Society of Remote Sensing.

Eser Adı
[dc.title]
Monitoring spatial and temporal land use/cover changes; a case study in Western Black Sea region of Turkey.
Yazar
[dc.contributor.author]
Alkan, Mehmet
Yazar
[dc.contributor.author]
Oruç, Murat
Yazar
[dc.contributor.author]
Yıldırım, Yılmaz
Yazar
[dc.contributor.author]
Şeker, Dursun Zafer
Yazar
[dc.contributor.author]
Jacobsen, Karsten
Yayın Yılı
[dc.date.issued]
2013
Yayın Türü
[dc.type]
article
Özet
[dc.description.abstract]
Rapid land use/land cover changes have taken place in many cities of Turkey. Land use and land cover changes are essential for wide range of applications. In this study, Landsat TM satellite imageries date from 1987, 1993, 2000 and 2010 were used to analyse temporal and spatial changes in the Western Black Sea Region of Turkey. Zonguldak and Eregli two largest and economic important cities which have been active coal mining and iron fabric areas. Maximum Likelihood Classification technique was implemented and the results were represented in classes of open area, forest, agricultural, water, mining, urban and pollution in the sea. Urban areas on both cities increased from 1987 to 2010. The agricultural and open areas from 1987 to 2010 decreased in parallel to land use and land cover change in both cities. Meanwhile, forest areas increased continuously with about 20 % from 1987 to 2010 in both cities. As industrial activity, the coal fields doubled from 1987 to 2010. © 2013 Indian Society of Remote Sensing.
Kayıt Giriş Tarihi
[dc.date.accessioned]
2019-12-23
Açık Erişim Tarihi
[dc.date.available]
2019-12-23
Yayın Dili
[dc.language.iso]
eng
Konu Başlıkları
[dc.subject]
Classification
Konu Başlıkları
[dc.subject]
GIS
Konu Başlıkları
[dc.subject]
Landsat
Konu Başlıkları
[dc.subject]
Remote sensing
Konu Başlıkları
[dc.subject]
Temporal change
Künye
[dc.identifier.citation]
Alkan, M., Oruc, M., Yildirim, Y., Seker, D. Z. ve Jacobsen, K. (2013). Monitoring spatial and temporal land use/cover changes; a case study in western black sea region of turkey. Journal of the Indian Society of Remote Sensing, 41(3), 587-596. doi:10.1007/s12524-012-0227-2
Haklar
[dc.rights]
info:eu-repo/semantics/closedAccess
ISSN
[dc.identifier.issn]
0255660X
İlk Sayfa Sayısı
[dc.identifier.startpage]
587
Son Sayfa Sayısı
[dc.identifier.endpage]
596
Dergi Adı
[dc.relation.journal]
Journal of the Indian Society of Remote Sensing
Dergi Sayısı
[dc.identifier.issue]
3
Dergi Cilt Bilgisi
[dc.identifier.volume]
41
Tek Biçim Adres
[dc.identifier.uri]
https://dx.doi.org/10.1007/s12524-012-0227-2
Tek Biçim Adres
[dc.identifier.uri]
https://hdl.handle.net/20.500.12628/6663
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27
09.12.2022 tarihinden bu yana
İndirme
1
09.12.2022 tarihinden bu yana
Son Erişim Tarihi
13 Mayıs 2023 15:35
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https://hdl.handle.net/20.500.12628/6663">
cities changes Turkey forest agricultural increased mining classes pollution represented results technique implemented activity Sensing Remote Society Indian doubled fields industrial decreased continuously Meanwhile change Classification parallel important Likelihood satellite Landsat applications essential use/land imageries
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