Imperial College London
Portrait Picture

Dr James Lawrence

Faculty of Engineering, Department of Civil and Environmental Engineering

Reader in Geological Engineering
 
 
 
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Contact

 

+44 (0)20 7594 0700j.lawrence Website

 
 
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Assistant

 

Ms Sue Feller +44 (0)20 7594 6077

 
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Location

 

528ASkempton BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@inproceedings{Asoms:2018:10.1680/eiccf.64072.369,
author = {Asoms, SG and Stavrou, A and Lawrence, JA},
doi = {10.1680/eiccf.64072.369},
pages = {369--374},
title = {Developing a GIS based methodology for coastal chalk cliff retreat using multiple datasets},
url = {http://dx.doi.org/10.1680/eiccf.64072.369},
year = {2018}
}
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RIS format (EndNote, RefMan)

TY  - CPAPER
AB  - Topographical mapping survey data which covered a period from 1951 to 2000 was used as the main data set to develop a cliff recession analysis of the coastal cliffs at Birling Gap, East Sussex, UK. This a portion of the coast is dominated by the Seven Sisters chalk coastal cliffs and Birling Gap is characterized by the presence of a palaeo-valley which formed during the Devensian glaciation. The entire area is subject to high rates of erosion and frequently cliff collapses at all scales. Using a GIS platform, a database was created geo-referencing this detailed cartographic historical record. The cartographic information was translated into spatial linear elements within the GIS; each linear element defining the position of the cliff at a specific period. A spatial and statistical analysis of the georeferenced information provided a complete and comprehensive analysis of the shoreline recession, allowing spatial and temporal correlation of the coastal erosion occurring at this location. The cartographic information was then enhanced by using more recent data sets, mainly obtained by aerial photos, which allowed the analysis to be extended into the 21st century. This methodology was developed to demonstrate how different data sets can efficiently and effectively be combined to provide end users with a single referenceable tool to holistically investigate the processes, causes and impact of coastal erosion.
AU  - Asoms,SG
AU  - Stavrou,A
AU  - Lawrence,JA
DO  - 10.1680/eiccf.64072.369
EP  - 374
PY  - 2018///
SP  - 369
TI  - Developing a GIS based methodology for coastal chalk cliff retreat using multiple datasets
UR  - http://dx.doi.org/10.1680/eiccf.64072.369
ER  -
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