Journal of Coastal Conservation

, Volume 22, Issue 2, pp 431–441 | Cite as

Combining series of multi-source high spatial resolution remote sensing datasets for the detection of shoreline displacement rates and the effectiveness of coastal zone protection measures

Article

Abstract

The long-term change of the shoreline location is a phenomenon, which is highly factored in the design of construction projects along the coastal zone. Especially, beach erosion is characterized as one of the major problems at coastal areas and it is of high importance as a quite significant percentage of social development is concentrated in a relatively narrow zone not far from the waterfront. This study presents a methodology that aims to quantify the shoreline displacement rate by involving the processing of different types of remote sensing datasets such as aerial photographs, satellite images and unmanned aerial system data coupled with in-situ observations and measurements. Several photogrammetric techniques were used in order to orthorectify and homogenize a time series of remotely sensed data acquired from 1945 to 2017, representing a rapidly relocating coastal zone at the southern part of Corinth Gulf (Greece), as a case study. All images were digitally processed and optically optimized in order to produce a highly accurate representation of the shoreline at the time period of each acquisition. The data were imported in a Geographic Information System platform, where they were subjected to comparison and geostatistical analysis. High erosion rates were calculated, reaching the order of 0.18 m/year on average whilst extreme rates of 0.70 m/year were also observed in specific locations leading to the segmentation of the coastal zone according to its vulnerability and consequently the risk for further development as well as the effectiveness of measures already taken by the authorities.

Keywords

Ikonos-2 Worldview-2 UAS Photogrammetry DSAS Corinth gulf 

Notes

Acknowledgements

The authors would like to thank P. Sartabakos for piloting the UAS and providing the aerial photographs of June 2017-time period. The 5-m DEM as well as the 1945 and 2010 remote sensing datasets were kindly provided by NCMA S.A. to the Remote Sensing Laboratory of NKUA for scientific reasons.

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Copyright information

© Springer Science+Business Media B.V., part of Springer Nature 2018

Authors and Affiliations

  1. 1.Department of Civil Engineering, Laboratory of Harbor Works (LHW)National Technical University of AthensAthensGreece
  2. 2.Faculty of Geology and GeoenvironmentNational & Kapodistrian University of AthensAthensGreece

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