Detecting Coastal Urbanization and Land Use Change in Southern Turkey

Abstract

One of the most important needs in contemporary landscape planning is quantitative land use/land cover (LU/LC) change information. The reason a strong emphasis is placed on landscape change information is that it serves as an ecological and geographical basis for preparing and implementing development plans in a more sustainable manner. Multi-temporal analysis of LU/LC changes on the Eastern Mediterranean coast of Turkey revealed that there is a marked preference for these areas primarily for building development. This paper demonstrates a methodology that relies on quantitative analysis techniques for assessing spatiotemporal changes in LU/LC in the case of the eastern Mediterranean coast of Turkey. In this respect, satellite image datasets (SPOT panchromatic, Landsat TM) acquired in 1989, 1995, 2001 and 2007 were enhanced. Resulting images were classified and compared to detect coastal urbanization and development trends. Post-classification change analyses were employed to quantify land cover conversions in three periods from 1985 to 1995, from 1995 to 2001 and from 2001 to 2007. This paper demonstrated that urban, agriculture and shrublands changed rapidly in this part of the Mediterranean coast.

DSM-based identification of changes in highly dynamic urban agglomerations

“…Our study focuses on the development of the city of Da Nang, Vietnam, for which Linh, Erasmi, and Kappas (2009) used Landsat and ASTER satellite images to identify the land use and land cover changes between 1979 and 2009 and found a significant decrease in forest and shrub land while urban areas increased by over 10,000 ha. Like in various other studies using high resolution (HR) satellites, such as Landsat or Sentinel-2, their results are based on post-classification change detection methods, requiring two or more classified image pairs, which together form a difference layer that is interpreted quantitatively and qualitatively (Alphan & Güvensoy, 2016;Hegazy & Kaloop, 2015;Mundia & Aniya, 2005;Shalaby & Tateishi, 2007;Yuan, Sawaya, Loeffelholz, & Bauer, 2005). However, images from very high resolution (VHR) satellites, such as Quickbird, Pléiades or WorldView, need other techniques to cope with the degree of information.…”

A Cellular Automata Model for Monitoring and Simulating Urban Land Use/Cover Changes Toward Sustainability

“…Also, the ecological security pattern of the land use has an important role in protecting the urban ecological environment (KwadwoNti 2013;Yuanjing et al 2015). Quantitative land use/land cover change information is one of the most important needs in landscape planning (Alphan, Guvensoy 2016). Although the terms land use and land cover are definitely related, they are also conceptually different.…”

Seasonal land cover changes and its effects on essential services of haor and non-haor areas of Kishoreganj district, Bangladesh

“…Land cover change studies have benefited greatly from the latest advancement in geospatial science and its associated technology (Jong and Meer 2004;Muttitanon and Tripathi 2005). Such advancement enabled in-depth investigations of issues related to land cover change detection, spatiotemporal analysis with prediction of future needs (Alphan andGuvensoy 2015 andHashem andBalakrishnan 2015). Besides, scenario analysis with land cover changes is useful in national planning and policy making (Li and Yeh 2004).…”

“…In this respect, multi-resolution segmentation and object-based classifiers are also useful (Ahmed 2014). Sub-pixel image analysis methods and the hybrid approaches (Dewan and Yamaguchi 2008) that combine pixel and object-based classifications (CampBell and Wynne 2011) help to increase the efficiency of land cover mapping procedures (Mölders 2012;Alphan and Guvensoy 2015). Land cover change studies have benefited greatly from the latest advancement in geospatial science and its associated technology (Jong and Meer 2004;Muttitanon and Tripathi 2005).…”