scholarly journals Quantifying short-term surface changes on recreational trails: The use of topographic surveys and ‘digital elevation models of differences’ (DODs)

Geomorphology ◽  
2013 ◽  
Vol 183 ◽  
pp. 58-72 ◽  
Author(s):  
Aleksandra M. Tomczyk ◽  
Marek Ewertowski
1997 ◽  
Vol 24 ◽  
pp. 135-141 ◽  
Author(s):  
Bernd Etzelmüller ◽  
Johan Ludvig Sollid

This paper presents an approach to long-term glacier monitoring. Mathematical surface descriptors, such as altitude, slope and curvature (surface form) are used to classify and quantify glacier surface developments. The analysis is based on photogrammetically derived grid-based digital elevation models over a period of decades. This paper outlines the concept and applies it to five valley glaciers in Spitsbergen, Svalbard, which differ with respect to size, thermal regime and dynamics. The results reflect differences between the glaciers investigated which are attributable to glacier dynamics, in particular concerning the glacier’s possible surge behaviour during a period with retreat and mass losses.


2019 ◽  
Vol 11 (7) ◽  
pp. 843 ◽  
Author(s):  
Paweł Terefenko ◽  
Dominik Paprotny ◽  
Andrzej Giza ◽  
Oswaldo Morales-Nápoles ◽  
Adam Kubicki ◽  
...  

Cliff coasts are dynamic environments that can retreat very quickly. However, the short-term changes and factors contributing to cliff coast erosion have not received as much attention as dune coasts. In this study, three soft-cliff systems in the southern Baltic Sea were monitored with the use of terrestrial laser scanner technology over a period of almost two years to generate a time series of thirteen topographic surveys. Digital elevation models constructed for those surveys allowed the extraction of several geomorphological indicators describing coastal dynamics. Combined with observational and modeled datasets on hydrological and meteorological conditions, descriptive and statistical analyses were performed to evaluate cliff coast erosion. A new statistical model of short-term cliff erosion was developed by using a non-parametric Bayesian network approach. The results revealed the complexity and diversity of the physical processes influencing both beach and cliff erosion. Wind, waves, sea levels, and precipitation were shown to have different impacts on each part of the coastal profile. At each level, different indicators were useful for describing the conditional dependency between storm conditions and erosion. These results are an important step toward a predictive model of cliff erosion.


1997 ◽  
Vol 24 ◽  
pp. 135-141 ◽  
Author(s):  
Bernd Etzelmüller ◽  
Johan Ludvig Sollid

This paper presents an approach to long-term glacier monitoring. Mathematical surface descriptors, such as altitude, slope and curvature (surface form) are used to classify and quantify glacier surface developments. The analysis is based on photogrammetically derived grid-based digital elevation models over a period of decades. This paper outlines the concept and applies it to five valley glaciers in Spitsbergen, Svalbard, which differ with respect to size, thermal regime and dynamics. The results reflect differences between the glaciers investigated which are attributable to glacier dynamics, in particular concerning the glacier’s possible surge behaviour during a period with retreat and mass losses.


10.1596/34445 ◽  
2020 ◽  
Author(s):  
Louise Croneborg ◽  
Keiko Saito ◽  
Michel Matera ◽  
Don McKeown ◽  
Jan van Aardt

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