Dynamic monitoring of land cover change: A recent study for istanbul metropolitan area

Wasim Shoman, Merve Korkutan, Ugur Alganci, Aysegul Tanik, Hande Demirel*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

6 Citations (Scopus)

Abstract

Climate change, rapid urbanization and industrialization have so far resulted in substantial loss of agricultural land, forestry and green areas that are environmentally of utmost importance. This is noted considerably in many coastal regions and highly populated cities such as metropolis Istanbul in Turkey. In that sense, there is an urgent need for evaluating the magnitude, pattern, and type of land cover/use (LCLU) changes for projecting future land development in the most sustainable manner in this highly crowded city. Remote sensing (RS), in conjunction with Geographic Information Systems (GIS), has been widely applied and recognized as powerful and effective tools of modern technology in detecting LCLU. Five satellite imageries acquired in 1975, 1987, 1997, 2007 and 2014 were classified and corresponding LCLU thematic maps were achieved. The change detection results revealed great loss in the green areas such as forests, and in turn, huge increase in urbanized and industrialized areas. Sharp increases were detected for land cover classes of urban fabric, industrial and commercial units, and for open spaces covered with slight or no vegetation, in ratios of 227%, 410% and 402%, respectively over time. Hence, such quantitative LCLU results of this strategically important region of the world are sufficiently robust to alert urban and regional planners for efficient management practices intending to form a balance between utilization and protection of natural resources.

Original languageEnglish
Pages (from-to)688-693
Number of pages6
JournalFresenius Environmental Bulletin
Volume28
Issue number2
Publication statusPublished - 2019

Bibliographical note

Publisher Copyright:
© 2019 Parlar Scientific Publications. All rights reserved.

Funding

The authors would like to express their thanks to TUBITAK for the financial support to Project number 115Y692.

FundersFunder number
TUBITAK115Y692

    Keywords

    • Change Detection
    • Geographic Information Systems
    • Land Cover
    • Remote Sensing
    • Urbanization

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