Coastal Change Analysis: A Quantitative Approach using Digital Maps, Aerial Photographs and LiDAR

This paper has demonstrated the significant benefits of employing digital maps and aerial photography for the assessment of historical coastal change. These data have been integrated with a specially commissioned state-of-the-art digital survey and other baseline survey data using specialist digital remote sensing methods and geographic information system (GIS) software. The results of this paper emphasize the inaccuracies of broad scale assessments adopted by the shoreline management plans (SMPs), where the errors in data and interpretation are neither quantified nor made explicit. This can lead to misleading projections of coastal change where the patterns and rates of change cannot be relied on for decision making, particularly for high risk sites. The paper describes how the digital approach provides quantitative data of known accuracy from which analysis of historical coastal change can be carried out with confidence. The analysis has been conducted within a geomorphological framework that recognizes a number of key controlling landforms along the coastline. Recognition of landform features is considered fundamental to the understanding of historical and future coastal change. The framework assists in the identification of patterns and variable rates of historical coastal change and it takes into account the influences of coast protection and other intervention measures. There is still work in process and it is anticipated that further improvements in accuracy and error assessment will be achieved through the use of orthophoto models. The analysis of historical coastal change will form a key input to the next stage development of a coastal change projection model.

Language

  • English

Media Info

  • Media Type: Print
  • Features: Figures; Photos; References; Tables;
  • Pagination: pp 197-211
  • Monograph Title: International Conference on Coastal Management 2003

Subject/Index Terms

Filing Info

  • Accession Number: 01041997
  • Record Type: Publication
  • ISBN: 0727732552
  • Files: TRIS
  • Created Date: Feb 1 2007 8:30AM