Abstract
Coastal areas are quite fragile landscapes as they are among the most vulnerable to climate change and natural hazards. Coastline mapping and change detection are essential for safe navigation, resource management, environmental protection, and sustainable coastal development and planning. In this paper, we proposed a new methodology for the automatic extraction of coastline, using aerial images. This method is based on edge detection and active contours (snake method). Initially the noise of the image is reduced which is followed by an image segmentation. The output images are further processed to remove all small spatial objects and to concentrate on the spatial objects of interests. Then, the morphological operators are applied. We used aerial images taken from an aircraft and high-resolution satellite images from a coastal area in Crete, Greece, and we compared the results with geodetic measurements, to validate the methodology.
Highlights
Coastal areas have emerged to be the most important and dynamic regions, worldwide
This paper describes the automatic extraction of the coastline using edge detection and optimization procedures
For the automatic coastline extraction, in this paper we have introduced a new version of the method presented by Liu and Jezek [6], relying on edge detection and optimization procedures
Summary
Coastal areas have emerged to be the most important and dynamic regions, worldwide. They are unique areas on earth because they are the connection between sea and land. They encompass a rich ecosystem with a high diversity of species. Global warming effects like sea-level rise, coastal erosion, warmer water temperature, changes in the intensity of waves have been widely prevalent, in recent years [1]. Coastline is a line that forms the boundary between the land and the sea, or a lake [2]
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