scholarly journals Coastal Monitoring: A New Approach

Chimera ◽  
2013 ◽  
Vol 26 (2012/2013) ◽  
pp. 69-83
Author(s):  
Sarah M. Kandrot

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.

2020 ◽  
pp. 83-120
Author(s):  
Alojz Kopáčik ◽  
Ján Erdélyi ◽  
Peter Kyrinovič

2014 ◽  
Vol 3 (3) ◽  
pp. 871-890 ◽  
Author(s):  
Juho-Pekka Virtanen ◽  
Hannu Hyyppä ◽  
Matti Kurkela ◽  
Matti Vaaja ◽  
Petteri Alho ◽  
...  

2015 ◽  
Vol 35 ◽  
pp. 92-95 ◽  
Author(s):  
Stefano Crepaldi ◽  
Ye Zhao ◽  
Muriel Lavy ◽  
Gianpiero Amanzio ◽  
Enrico Suozzi ◽  
...  

2017 ◽  
Author(s):  
Sabrina Marx ◽  
Katharina Anders ◽  
Sofia Antonova ◽  
Inga Beck ◽  
Julia Boike ◽  
...  

Abstract. Three-dimensional data acquired by terrestrial laser scanning (TLS) provides an accurate representation of Earth's surface, which is commonly used to detect and quantify topographic changes on a small scale. However, in Arctic permafrost regions the tundra vegetation and the micro-topography have significant effects on the surface representation in the captured dataset. The resulting spatial sampling of the ground is never identical between two TLS surveys. Thus, monitoring of heave and subsidence in the context of permafrost processes are challenging. This study evaluates TLS for quantifying small-scale vertical movements in an area located within the continuous permafrost zone, 50 km north-east of Inuvik, Northwest Territories, Canada. We propose a novel filter strategy, which accounts for spatial sampling effects and identifies TLS points suitable for multi-temporal deformation analyses. Further important prerequisites must be met, such as accurate co-registration of the TLS datasets. We found that if the ground surface is captured by more than one TLS scan position, plausible subsidence rates (up to mm-scale) can be derived; compared to e.g. standard raster-based DEM difference maps which contain change rates strongly affected by sampling effects.


Sensors ◽  
2019 ◽  
Vol 19 (3) ◽  
pp. 450 ◽  
Author(s):  
Silvia Di Bartolo ◽  
Riccardo Salvini

This article focuses on the use of Terrestrial Laser Scanning (TLS) for change detection analysis of multitemporal point clouds datasets. Two topographic surveys were carried out during the years 2016 and 2017 in an underground marble quarry of the Apuan Alps (Italy) combining TLS with Global Navigation Satellite System (GNSS) and Total Station (TS) studies. Multitemporal 3D point clouds were processed and compared with the aim of identifying areas subjected to significant material extraction. Point clouds representing changed areas were converted into triangular meshes in order to compute the volume of extracted material over one year of quarrying activities. General purpose of this work is to show a valid method to examine the morphological changes due to raw material extraction with the focus of highlighting benefits, accuracies and drawbacks. The purpose of the executed survey was that of supporting the planning of quarrying activities in respect of regional rules, safety and commercial reasons.


2011 ◽  
Vol 43 (7) ◽  
pp. 1249-1256 ◽  
Author(s):  
H. González-Jorge ◽  
B. Riveiro ◽  
J. Armesto ◽  
P. Arias

2014 ◽  
Vol 318 ◽  
pp. 304-317 ◽  
Author(s):  
Shruthi Srinivasan ◽  
Sorin C. Popescu ◽  
Marian Eriksson ◽  
Ryan D. Sheridan ◽  
Nian-Wei Ku

Author(s):  
Mónica Herrero-Huertaa ◽  
Roderik Lindenbergh ◽  
Luc Ponsioen ◽  
Myron van Damme

Emergence of light detection and ranging (LiDAR) technology provides new tools for geomorphologic studies improving spatial and temporal resolution of data sampling hydrogeological instability phenomena. Specifically, terrestrial laser scanning (TLS) collects high resolution 3D point clouds allowing more accurate monitoring of erosion rates and processes, and thus, quantify the geomorphologic change on vertical landforms like dike landside slopes. Even so, TLS captures observations rapidly and automatically but unselectively. <br><br> In this research, we demonstrate the potential of TLS for morphological change detection, profile creation and time series analysis in an emergency simulation for characterizing and monitoring slope movements in a dike. The experiment was performed near Schellebelle (Belgium) in November 2015, using a Leica Scan Station C10. Wave overtopping and overflow over a dike were simulated whereby the loading conditions were incrementally increased and 14 successful scans were performed. The aim of the present study is to analyse short-term morphological dynamic processes and the spatial distribution of erosion and deposition areas along a dike landside slope. As a result, we are able to quantify the eroded material coming from the impact on the terrain induced by wave overtopping which caused the dike failure in a few minutes in normal storm scenarios (Q = 25 l/s/m) as 1.24 m<sup>3</sup>. As this shows that the amount of erosion is measurable using close range techniques; the amount and rate of erosion could be monitored to predict dike collapse in emergency situation. <br><br> The results confirm the feasibility of the proposed methodology, providing scalability to a comprehensive analysis over a large extension of a dike (tens of meters).


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