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A geomatics data integration technique for coastal change monitoring

Lookup NU author(s): Professor Jon MillsORCiD, Professor Peter ClarkeORCiD, Professor Stuart Edwards


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This paper reports research carried out to develop a novel method of monitoring coastal change, using an approach based on digital elevation models (DEMs). In recent years change monitoring has become an increasingly important issue, particularly for landforms and areas that are potentially hazardous to human life and assets. The coastal zone is currently a sensitive policy area for those involved with its management, as phenomena such as erosion and landslides affect the stability of both the natural and the built environment. With legal and financial implications of failing to predict and react to such geomorphological change, the provision of accurate and effective monitoring is essential. Long coastlines and dynamic processes make the application of traditional surveying difficult, but recent advances made in the geomatics discipline allow for more effective methodologies to be investigated. A solution is presented, based on two component technologies - the Global Positioning System (GPS) and digital small format aerial pbotogrammetry - using data fusion to eliminate the disadvantages associated with each technique individually. A sparse but highly accurate DEM, created using kinematic GPS, was used as control to orientate surfaces derived from the relative orientation stage of photogrammetric processing. A least squares surface matching algorithm was developed to perform the orientation, reducing the need for costly and inefficient ground control point survey. Change detection was then carried out between temporal data epochs for a rapidly eroding coastline (Filey Bay, North Yorkshire). The surface matching algorithm was employed to register the datasets and determine differences between the DEM series. Large areas of change were identified during the lifetime of the study. Results of this methodology were encouraging, the flexibility, redundancy and automation potential allowing an efficient approach to landform monitoring. Copyright (c) 2005 John Wiley & Sons, Ltd.

Publication metadata

Author(s): Mills JP, Buckley SJ, Mitchell HL, Clarke PJ, Edwards SJ

Publication type: Article

Publication status: Published

Journal: Earth Surface Processes and Landforms

Year: 2005

Volume: 30

Issue: 6

Pages: 651-664

ISSN (print): 0197-9337

ISSN (electronic): 1096-9837

Publisher: John Wiley & Sons Ltd.


DOI: 10.1002/esp.1165


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