Coastal Monitoring: A New Approach
DOI:
https://doi.org/10.33178/chimera.26.9Keywords:
coastal monitoring, terrestrial laser scanning, coastal sand dunesAbstract
Monitoring changes in the morphology of coastal environments is important for understanding how they function as systems and how they can be most effectively managed to offer maximum protection of the coastal hinterland. The quick, precise, and efficient method of topographic data capture associated with a remote sensing (RS) technology called terrestrial laser scanning (TLS), also known as ground-based Light Detection and Ranging (LiDAR), facilitates improved monitoring of morphological changes to coastal environments over traditional survey methods. Terrestrial laser scanning systems are capable of providing extremely detailed 3-dimensional topographic information in the form of a “point cloud” – a densely packed collection of x,y,z coordinates that collectively represent the external surface (often the ground) of a surveyed area. Such detailed elevation information is useful for coastal research, resource management and planning, hazard and risk assessment, and evaluating the impacts of climate change and sea-level rise on the coast. This paper introduces TLS and its applications in a coastal setting and addresses some of the challenges associated with its use as a monitoring tool in vegetated coastal dune environments. Such challenges include optimising time spent in the field, working with large datasets, classifying simple and complex scenes, and analysing multi-temporal datasets.References
Ali, I., Braun, A., Sideris, M. G. and Anonymous 2011. Detecting morphological change on Galveston Island with airborne and terrestrial lidar. Abstracts with Programs - Geological Society of America. Geological Society of America (GSA).
Applied Imagery 2009. Quick Terrain Modeller. 7.0.0 ed. Silver Spring, MD: Johns Hopkins University Applied Physics Laboratory.
Bellian, J., Kerans, C. and Jennette, D. 2005. Digital outcrop models: applications of terrestrial scanning lidar technology in stratigraphic modeling. Journal of Sedimentary Research, 75, pp. 166-176.
Brock, J. and Purkis, S. 2009. The Emerging Role of Lidar Remote Sensing in Coastal Research and Resource Management. Journal of Coastal Research, 1-5.
Brodu, N. and Lague, D. 2012. 3D terrestrial lidar data classification of complex natural scenes using a multi-scale dimensionality criterion: Applications in geomorphology. ISPRS Journal of Photogrammetry and Remote Sensing, 68, pp.121-134.
Buckley, S. J., Howell, J., Enge, H. and Kurz, T. 2008. Terrestrial laser scanning in geology: data acquisition, processing and accuracy considerations. Journal of the Geological Society, 165, pp.625-638.
Chust, G., Galparsoro, I., Borja, Á., Franco, J. and Uriarte, A. 2008. Coastal and estuarine habitat mapping, using LIDAR height and intensity and multi-spectral imagery. Estuarine, Coastal and Shelf Science, 78, pp.633-643.
Coyne, M. A., Fletcher, C. H. and Richmond, B. M. 1999. Mapping Coastal Erosion Hazard Areas in Hawaii: Observations and Errors. Journal of Coastal Research, 28, pp.171-184.
Dunning, S., Massey, C. and Rosser, N. 2009. Structural and geomorphological features of landslides in the Bhutan Himalaya derived from Terrestrial Laser Scanning. Geomorphology, 103, pp.17-29.
Feagin, R. A., Williams, A. M., Popescu, S., Stukey, J. and Washington-Allen, R. A. 2012. The Use of Terrestrial Laser Scanning (TLS) in Dune Ecosystems: The Lessons Learned. Journal of Coastal Research, DOI: 10.2112/JCOASTRES-D-11-00223.
Franceschi, M., Teza, G., Preto, N., Pesci, A., Galgaro, A. and Girardi, S. 2009. Discrimination between marls and limestones using intensity data from terrestrial laser scanner. ISPRS Journal of Photogrammetry and Remote Sensing, 64, pp.522-528.
Gesch, D. B. 2009. Analysis of Lidar Elevation Data for Improved Identification and Delineation of Lands Vulnerable to Sea-Level Rise. Journal of Coastal Research, 53, pp. 49-58.
Guarnieri, A., Vettore, A., Pirotti, F., Menenti, M. and Marani, M. 2009. Retrieval of small-relief marsh morphology from Terrestrial Laser Scanner, optimal spatial filtering, and laser return intensity. Geomorphology, 113, 12-20.
Heritage, G. L. and Large, A. R. G. 2009. Laser scanning for the environmental sciences, UK: Blackwell Pub.
Hug, C., Krzystek, P. and Fuchs, W. 2004. Advanced lidar data processing with LasTools. International Archives of Photogrammetry and Remote Sensing, 35, pp. 832-837.
Jensen, J. R. 2009. Remote Sensing of the Environment: An Earth Resource Perspective, India: Pearson Education.
Kaasalainen, S., Jaakkola, A., Kaasalainen, M., Krooks, A. and Kukko, A. 2011. Analysis of Incidence Angle and Distance Effects on Terrestrial Laser Scanner Intensity: Search for Correction Methods. Remote Sensing, 3, pp.2207-2221.
Kobler, A., Pfeifer, N., Ogrinc, P., Todorovski, L., Oštir, K. and Džeroski, S. 2007. Repetitive interpolation: A robust algorithm for DTM generation from Aerial Laser Scanner Data in forested terrain. Remote Sensing of Environment, 108, pp.9-23.
Leica Geosystems 2011. Cyclone II Topo. 2.0.188.0 ed. Switzerland: Heerbrugg.
Lichti, D., Gordon, S. and Tipdecho, T. 2005. Error Models and Propagation in Directly Georeferenced Terrestrial Laser Scanner Networks. Journal of Surveying Engineering, 131, pp.135-142.
Lichti, D. and Harvey, B. 2002. The effects of reflecting surface material properties on time-of-flight laser scanner measurements. Symposium on Geospatial Theory, Processing and Applications. Ottawa.
Lichti, D. D. 2005. Spectral Filtering and Classification of Terrestrial Laser Scanner Point Clouds. The Photogrammetric Record, 20, pp.218-240.
Lim, M., Petley, D. N., Rosser, N. J., Allison, R. J., Long, A. J. and Pybus, D. 2005. Combined Digital Photogrammetry and Time-of-Flight Laser Scanning for Monitoring Cliff Evolution. The Photogrammetric Record, 20, pp.109-129.
Lindenbergh, R. C., Soudarissanane, S. S., De Vries, S., Gorte, B. G. H. and De Schipper, M. A. 2011. Aeolian Beach Sand Transport Monitored by Terrestrial Laser Scanning. The Photogrammetric Record, 26, pp.384-399.
Meehl, G. A., Stocker, T. F., Collins, W., Friedlingstein, P., Gaye, A., Gregory, J., Kitoh, A., Knutti, R. and Co-authors 2007. Surface and atmospheric climate change. In: Solomon, S., Qin, D., Manning, M., Chen, Z., Marquis, M., Averyt, K. B., Tignor, M. and Miller, H. L., eds., Climate Change 2007: The Physical Science Basis. Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge: CUP.
Nagihara, S., Mulligan, K. R. and Xiong, W. 2004. Use of a three-dimensional laser scanner to digitally capture the topography of sand dunes in high spatial resolution. Earth Surface Processes and Landforms, 29, pp.391-398.
Nield, J. M. and Wiggs, G. F. S. 2011. The application of terrestrial laser scanning to aeolian saltation cloud measurement and its response to changing surface moisture. Earth Surface Processes and Landforms, 36, pp.273-278.
Nield, J. M., Wiggs, G. F. S. and Squirrell, R. S. 2011. Aeolian sand strip mobility and protodune development on a drying beach: examining surface moisture and surface roughness patterns measured by terrestrial laser scanning. Earth Surface Processes and Landforms, 36, pp.513-522.
Olsen, M. J. 2009. Methodology for assessing coastal change using terrestrial laser scanning. Ph.D. 3358639, University of California, San Diego.
Parry, M. L., Canziani, O. F., Palutikof, J. P., van der Linden, P. J. and Hanson, C. E. 2007. Climate change 2007: impacts, adaptation and vulnerability. Contribution of Working Group II to the Fourth Assessment Report of the IPCC. Cambridge: CUP.
Pietro, L. S., O'Neal, M. A. and Puleo, J. A. 2008. Developing Terrestrial-LIDAR-Based Digital Elevation Models for Monitoring Beach Nourishment Performance. Journal of Coastal Research, 24, pp.1555-1564.
Rabenhold, C. 2012. Coastal Hazards [Online]. National Oceanic and Atmospheric Administration. Available: http://coastalmanagement.noaa.gov/hazards.html [Accessed 2012].
Raber, G. T., Jensen, J. R., Schill, S. R. and Schuckman, K. 2002. Creation of digital terrain models using an adaptive lidar vegetation point removal process. PE & RS-Photogrammetric Engineering & Remote Sensing, 68, pp.1307-1315.
Rosser, N., Petley, D., Lim, M., Dunning, S. and Allison, R. 2005. Terrestrial laser scanning for monitoring the process of hard rock coastal cliff erosion. Quarterly Journal of Engineering Geology & Hydrogeology, 38, pp.363.
Sithole, G. and Vosselman, G. 2004. Experimental comparison of filter algorithms for bare-Earth extraction from airborne laser scanning point clouds. ISPRS Journal of Photogrammetry and Remote Sensing, 59, pp.85-101.
Soeder, E. and Jenkins, M. G. Year. Coastal Applications for High Definition Survey/Laser Scanning Technology. In: Proceedings of the Florida Shore & Beach Preservation Association: National Conference on Beach Preservation Technology, 2006 Sarasota, FL. FSBPA.
Soudarissanane, S., Lindenbergh, R., Menenti, M. and Teunissen, P. 2011. Scanning geometry: Influencing factor on the quality of terrestrial laser scanning points. ISPRS Journal of Photogrammetry and Remote Sensing, 66, pp.389-399.
Travelletti, J., Oppikofer, T., Delacourt, C., Malet, J. and Jaboyedoff, M. 2008. Monitoring landslide displacements during a controlled rain experiment using a long-range terrestrial laser scanning (TLS). The International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, 38, pp.485-490.
Trenberth, K. E., Jones, P. D., Ambenje, P. G., Bojariu, R., Easterling, D. R., Tank, A. M. G. K., Parker, D. E., Renwick, J. A. and Co-authors 2007. Surface and atmospheric climate change. In: Solomon, S., Qin, D., Manning, M., Chen, Z., Marquis, M., Averyt, K. B., Tignor, M. and Miller, H. L., eds., Climate Change 2007: The Physical Science Basis. Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge: CUP.
van Gaalen, J. F., Kruse, S. E., Coco, G., Collins, L. and Doering, T. 2011. Observations of beach cusp evolution at Melbourne Beach, Florida, USA. Geomorphology, 129, pp. 131-140.
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