A geomatics data integration technique for coastal change monitoring

Abstract

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 photogrammetry -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.

Application of Surface Matching for Improved Measurements of Historic Glacier Volume Change in the Antarctic Peninsula

“…A growing number of multi-temporal, multi-scale and multi-sensor datasets are now available for environmental studies concerned with assessing surface changes over long time periods (Mills et al, 2005;Zhang et al, 2006;Miller et al, 2009). This presents new challenges for how such datasets should be reliably combined, particularly under scenarios where direct access to the region of interest can prove difficult in terms of collecting control data.…”

“…This presents new challenges for how such datasets should be reliably combined, particularly under scenarios where direct access to the region of interest can prove difficult in terms of collecting control data. The goal of surface matching is to register an uncontrolled surface, in this case the historic DEM, to a reference surface in a way that differences between them are minimized (Mills et al, 2005).…”

“…This was initially developed for assessment of coastal change (Mills et al, 2005) and was subsequently applied to estimate glacier volume change in the Arctic (Miller et al, 2009). The underlying concept is that one surface is selected as the fixed reference surface, while the other surface provides the 'floating' matching surface.…”

“…The technique of least squares surface matching has been widely applied for registration of photogrammetrically-derived DEMs in the context of a number of applications (e.g. Mitchell and Chadwick, 1998;Mills et al, 2005). This is an automated technique which minimises differences between overlapping DEMs by establishing pointto-point or point-to-surface correspondences.…”

Pemodelan Spasial Bahaya Banjir Rob Berdasarkan Skenario Perubahan Iklim Dan Dampaknya Di Pesisir Pekalongan

“…Data elevasi daerah penelitian hanya bersifat sebagian sehingga tidak setiap titik di permukaan tanah dapat diketahui elevasinya (Mills et al, 2005). Interpolasi berfungsi untuk melakukan estimasi titik di permukaan tanah yang tidak memiliki data elevasi.…”