The Black Sea is experiencing human-induced ecological degradation along its coastal zone. As part of the Coastal Zone Management strategy, regular monitoring of shoreline changes plays an important role. Growing population in coastal zones creates extra pressure on shores which leads to the creation of new land filling areas (accretion). Moreover, a recently completed highway construction caused a catastrophic impact on coastal areas of the southern part of the Black Sea and needs to be taken into account. The main purpose of this article is to determine the pattern of shoreline changes along the Turkish coast of the Black Sea. Remote sensing is used to identify and evaluate hot spots of shoreline changes. A developed algorithm automatically extracts the coast line position by processing satellite images covering the period of 1987 to 2001. The maximum and minimum shoreline changes in terms of erosion and accretion were 118 to 53 and 95 to 635 m, respectively. More significant changes have been determined in the eastern part than the western part of the Black Sea. The locations with higher changes were mainly accretion regions along the study area. It can be concluded that coastal movements mainly caused by humans induced impacts at the coasts of the Black Sea. Coastal accretion is significant at the most part of the Turkish Black Sea coast and might be related to a recently constructed international highway.

Building extraction from remotely sensed images plays an important role in many applications such as updating geographical information system, change detection, urban planning, disaster management and 3D building modeling. Automatic extraction of buildings from aerial images is not an easy task because of background complexity, lighting conditions and vegetation cover that reduces separability or visibility of buildings. As a result, automatic building extraction can be a complex process for computer vision and image processing techniques. In order to overcome this difficulty region-based active contour model was used to automatically detect the boundary of buildings for this study. To extract object boundaries, the model grows or shrinks the initial contour in the image. The main objective of this paper is making active contours algorithm perform without user interaction and to detect automatically initial contours to segment buildings with a software coded in Matlab. This task carried out by morphological operations, band ratio and thresholding methods. In this study, high resolution aerial images with 8 cm ground sampling distance (GSD) were used. Three separate test zones were selected with varying building level of detail on these images. Finally, it was assessed the accuracy of segmented buildings using Correctness, Completeness and Quality metrics by comparing the results images and manually digitized reference image. The proposed approach for building extraction from images was shown to be 98% accurate on buildings with simple geometry and homogeneous roof textures. However accuracy of extracted buildings with heterogeneous roof textures and lighting, and complex geometry is 89%. The results clearly show that automatically calculated initial contour positions work in accordance with the active contour algorithm and easily extraction of the buildings boundaries.

The Black Sea is one of the world's largest enclosed water bodies and is suffering from human-induced anthropogenic pressure. Fish stocks are in danger, eutrophication is persistent in some areas, and pollution, floods and coastal erosion are always risks in this unique ecosystem. More than 10 million people live in the coastal zone of the southern Black Sea. The limited coastal area and resources create conflicts among inhabitants of the region and governing bodies. There is an urgent need to protect the coastal zone and living resources and to eliminate the personal and governmental issues by taking account of all stakeholders' approaches to the problem. A sample application based on real data from the region was presented to stress the types of conflicts in Trabzon, Yomra district. The problem was found to be mainly a spatial management issue in the coastal zone. In this study a dynamic integrated approach is proposed for the spatial management of the southern Black Sea coastal zone. In general, the proposed approach will be a kind of decision support system including social, economic, biotic and abiotic factors to determine the spatial management of the study area. The Black Sea is one of the world's largest enclosed water bodies and is suffering from human-induced anthropogenic pressure. Fish stocks are in danger, eutrophication is persistent in some areas, and pollution, floods and coastal erosion are always risks in this unique ecosystem. More than 10 million people live in the coastal zone of the southern Black Sea. The limited coastal area and resources create conflicts among inhabitants of the region and governing bodies. There is an urgent need to protect the coastal zone and living resources and to eliminate the personal and governmental issues by taking account of all stakeholders' approaches to the problem. A sample application based on real data from the region was presented to stress the types of conflicts in Trabzon, Yomra district. The problem was found to be mainly a spatial management issue in the coastal zone. In this study a dynamic integrated approach is proposed for the spatial management of the southern Black Sea coastal zone. In general, the proposed approach will be a kind of decision support system including social, economic, biotic and abiotic factors to determine the spatial management of the study area.

15.00 Normal 0 21 false false false TR X-NONE X-NONE Coastal urbanization problem was emanated from willingness of coastal living. Urban sprawl is one of the most important coastal problems in Turkey as it is in Trabzon city which is known for its natural and historical assets. In order to ensure the sustainability and ecological continuity of the city, an ecosystem based coastal planning is an issue of high priority. Protection and usage balance of the coastal areas could also ensure transition of the natural values to future generations. Trabzon city has been under severe urbanization problem for the last 30 years due to migration from rural to coastal areas of the city. It is thought that recently completed motorway and its service roads accelerated the urbanization on coastal periphery. Therefore, the problem must be resolved as soon as possible to achieve the good environmental status of the coast in the city. Thus, as a solution, DPSIR framework was proposed for systematic evaluation and documentation of the related critical issues by starting with a questionnaire composed of open ended questions for determination of major coastal problems in the city. As a step forward, the problems are quantitatively investigated and confirmed by using remote sensing techniques and census data compiled from TUIK databases. As a result major drivers were defined as "coastal urbanization", "coastal land filling" and "coastal transportation" for the city of Trabzon. It is recommended that single authority (composed of various specialists) must take the responsibility of coastal planning in the region. Moreover, the rights of the municipalities on the coastal zone must urgently be stopped by applying continues independent monitoring. Finally, taxation and land owning policies have to be revised on coastal areas to balance and encourage alternative city planning strategies.