Monitoring and Analyzing Land Use/Land Cover Changes in a Developing Coastal Town: A Case Study of Kusadasi, Turkey

Kara, Barış; Esbah, Hayriye; Deniz, Bülent

doi:10.2112/jcoastres-d-11-00140.1

Cited by 5 publications

(3 citation statements)

References 32 publications

(30 reference statements)

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“…Alphan, Yilmaz (2005) reported that agriculture has increasingly grown over marginal areas and urban development occurred at the expense of prime croplands in the eastern Mediterranean coast of Turkey. Other parts of the Turkish Mediterranean coast such as Kusadasi and Edremit bay faced similar problems resulting from development (Kara et al 2013;Irtem et al 2005). Intense human uses also cause complex LU/LC changes around the Mediterranean basin (Salvati, Sabbi 2011).…”

Section: Quantifying From-to Changesmentioning

confidence: 99%

Detecting Coastal Urbanization and Land Use Change in Southern Turkey

Alphan

Güvensoy

2016

Journal of Environmental Engineering and Landscape Management

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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.

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Section: Quantifying From-to Changesmentioning

confidence: 99%

Detecting Coastal Urbanization and Land Use Change in Southern Turkey

Alphan

Güvensoy

2016

Journal of Environmental Engineering and Landscape Management

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“…Raw data sources typically include aerial photography and multispectral and hyperspectral optical sources, such as those described thus far. Methods for classifying urban land covers include manual classifiers [19], fuzzy and hard classifiers [20], expert systems [14,21], object-based methods [22], machine learning [23], subpixel [24], and urban spectrometry [25].…”

Section: Urban Compositionmentioning

confidence: 99%

Supporting Global Environmental Change Research: A Review of Trends and Knowledge Gaps in Urban Remote Sensing

et al. 2014

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This paper reviews how remotely sensed data have been used to understand the impact of urbanization on global environmental change. We describe how these studies can support the policy and science communities' increasing need for detailed and up-to-date information on the multiple dimensions of cities, including their social, biological, physical, and infrastructural characteristics. Because the interactions between urban and surrounding areas are complex, a synoptic and spatial view offered from remote sensing is integral to measuring, modeling, and understanding these relationships. Here we focus on OPEN ACCESSRemote Sens. 2014, 6 3880 three themes in urban remote sensing science: mapping, indices, and modeling. For mapping we describe the data sources, methods, and limitations of mapping urban boundaries, land use and land cover, population, temperature, and air quality. Second, we described how spectral information is manipulated to create comparative biophysical, social, and spatial indices of the urban environment. Finally, we focus how the mapped information and indices are used as inputs or parameters in models that measure changes in climate, hydrology, land use, and economics.

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“…For instance, using GIS to assess landscape dynamics also starting from digital sources (e.g. photo archives) (Popa, & Enache, 2016), using geo-tagged photos collected from Flickr and proposing a geo-clustering algorithm (Spyrou et al, 2017), using photographs depicting the urban landscape as a method for social critique (Kim, 2016), using satellite images to monitor and analyse landscape changes (land use and land cover) in coastal areas (Kara et al, 2013, El Banna et al, 2009). In the field of Cultural and Political Geography, research explored the use of propaganda photographs and the promotion of geographical education, while producing nationalist landscapes during the process of nation-building (Tyner et al, 2015), and also explored the use of photos in enabling cultural interaction and understanding (Lemmons et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

Meaningful Learning: Case Studies On The Territorial Identity Of Historical Urban Centres

Fonogea¹,

Fonogea²,

Ciascai³

et al. 2018

The European Proceedings of Social and Behavioural Sciences

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Engaging university students into meaningful learning activities enables critical thinking and understanding (i.e. active learning), instead of memorising knowledge (i.e. passive learning). In this context, we researched the way students at the M.Sc. level learn, at the specialisation of Regional Planning and Development, in the Faculty of Geography, at Babeş-Bolyai University, in Cluj-Napoca, Romania. The aim of the activity was to discover the best means for students to analyse urban cultural landscapes. We offered them plenty of images (i.e. aerial photos) of a series of historical urban centres in Romania (ClujNapoca, Brașov, Sibiu, Oradea, Timişoara, Bistriţa) and, while working individually, we asked them to analyse the elements of the city centre and of the urban landscape: the features of the square, its arrangement, the features and the functions of the buildings. Students were also asked to use other sources of images (e.g. Google Earth, Google Maps, etc.) to complete the task, and then they used ArcGIS (a specialised software). In the end, we provided them with an observation protocol that they had to complete with the identified urban elements. We concluded that their in-depth analysis, enabled by an observation protocol, determined students' in-depth learning of the evolution characteristic of historical urban centres.

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Monitoring and Analyzing Land Use/Land Cover Changes in a Developing Coastal Town: A Case Study of Kusadasi, Turkey

Cited by 5 publications

References 32 publications

Detecting Coastal Urbanization and Land Use Change in Southern Turkey

Detecting Coastal Urbanization and Land Use Change in Southern Turkey

Supporting Global Environmental Change Research: A Review of Trends and Knowledge Gaps in Urban Remote Sensing

Meaningful Learning: Case Studies On The Territorial Identity Of Historical Urban Centres

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