Land cover of the Earth is changing dramatically because of human activities. Information about changes is useful for management of natural resources. Rapid land cover changes have taken place in many coastal areas of Turkey over the last two decades due to urbanization and land degradation. In this paper, land cover change dynamics were investigated by the combined use of satellite remote sensing and geographical information systems. The main objective of the study was to determine land-cover transition rates among land cover types in coastal areas of Turkey. A time series of Landsat TM and ASTER images were used to gather land cover change data of the coastal line of Candarli Bay, Izmir, Turkey. The images were classified using supervised classification and a post-classification comparison approach was used in change detection. The results show significant increase in urban areas but decrease in semi natural and agricultural areas.

No abstract

ÇalıĢmanın amacı 1990 ve 2019 yılları arasında nüfus artıĢı ile birlikte hızlı kentleĢmenin yaĢandığı Ġzmir ili KarĢıyaka, Bayraklı, Konak ve Bornova ilçelerinde alan kullanım/arazi örtüsü (AK/AÖ)'nde meydana gelen değiĢimlerin peyzaj metrikleri ile analiz edilmesidir. ÇalıĢmada 1990 yılına ait Landsat 4-5 TM ve 2019 yılına ait Landsat 8 uydu görüntüleri nesne tabanlı sınıflandırma yöntemi kullanılarak sınıflandırılmıĢ ve 1990 ve 2019 yıllarına ait AK/AÖ haritaları elde edilmiĢtir. AK/AÖ değiĢimi, FRAGSTATS yazılımında sınıf düzeyinde 9 peyzaj metriğinden yararlanılarak yorumlanmıĢtır. Elde edilen sonuçlara göre, çalıĢma alanında en büyük değiĢim yapay yüzeylerde artıĢ Ģeklinde yaĢanmıĢtır. Yapay yüzeylerde baskın olarak sanayi ve yerleĢim alanlarının hızla artması, doğal peyzajın bütünlüğünü bozarak çalıĢma alanında mevcut doğal peyzaj öğelerinde parçalanma, delinme ve izolasyona neden olmuĢtur.

The aim of this study is to evaluate the classification performances of land use/land cover (LULC) classification methods by comparing the results of pixel and objectbased classification approaches on RapidEye satellite image. Pixel-based classification was carried out in ERDAS Imagine 10.4 using the Maximum Likelihood-supervised approach, whilst object-based classification was performed in e-Cognition Developer 64 using the nearest neighbour-supervised classification method. A LULC map of eight classes was created in both methods. While the accuracy for thematic LULC classes varied in both methods, the overall accuracy and kappa values of LULC maps for pixel and object-based classification methods were 58.39%-0.45 and 89.58%-0.86, respectively. Accuracy assessments and comparative results showed that object-based classification gives better results for thematic LULC classes as well as the overall accuracy of LULC maps. Even though pixel-based classification method was good at mapping many thematic classes, there were misclassifications between natural/semi-natural LULC classes. These results can be attributed to parameters set by users, such as the number of control points, etc. However, the capacity of object-based classification method to include auxiliary data (e.g. DEM, NDVI) increases the accuracy of LULC maps with high-resolution satellites.

Despite common acknowledgement of the value of protected areas as instruments in ensuring sustainability, and their promotion for the achievement of policies on halting the loss of biodiversity, there is no common approach today for monitoring and evaluating them. This paper presents a novel integrated nature conservation management procedure developed to monitor and evaluate the sustainability of Mediterranean protected areas. This procedure was successfully implemented and formally evaluated by protected area managers in six Mediterranean countries, results of which are presented here together with an overview of the web-based Decision Support System (DSS) developed to facilitate its wide adoption. The DSS and procedure has been designed and evaluated by managers as a useful tool, which facilitates and provides needed procedural guidance for protected area monitoring whilst minimizing input requirements to do so. The procedure and DSS were developed following a review of existing protected area assessment tools and a detailed primary investigation of the needs and capacity of its intended users. Essentially, the procedure and DSS guides provide the facilities for protected area managers, in following a participatory approach to develop a context-specific sustainability monitoring strategy, for their protected area. Consequently, the procedure is, by design, participatory, context specific, holistic and relevant to protected area management and institutional procedures. The procedure was piloted and formally evaluated in Greece, Italy, Turkey, Egypt, Malta and Cyprus. Feedback collected from the pilot evaluations is also summarised herein.publishersversionPeer reviewe