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Rekonstruktion av högsta kustlinjen med en digital höjdmodell (DEM): En studie i norra Sverige
Umeå University, Faculty of Science and Technology, Department of Ecology and Environmental Sciences.
2014 (Swedish)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesisAlternative title
Reconstruction of the highest shoreline using a digital elevation model (DEM) : A study in northern Sweden (English)
Abstract [en]

This study sought to use high resolution elevation data (2x2 m) derived from laserscanning to measure the highest shoreline (HS) in the provinces of Västerbotten and Norrbotten in northern Sweden. The aim was to provide a detailed view of the slope of HS and evaluate the method of HS interpretations and elevation measurements with previous field based research. A GIS application was used to generate a hillshade view of the elevation data in order to identify indicators of HS and determine its height. A number of locales such as beach ridges, wave wash locations and lateral meltwater channels were used as indicators of the height of HS. The results showed a weaker slope in areas of low terrain surrounded by uniformly high terrain such as in the valleys of rivers. The explanation for this is thought to be due to a higher speed of ice recession in the low terrain areas due to ice calving which occurred in the formerly deeper water of the low terrain. This study also showed that changes in the rate of isostatic rebound due to differences in bedrock following the deglaciation could influence the slope of HS. The GIS-analysis method used to measure the elevation of HS was determined to be comparable to previous field measurements with a slight penchant for overestimating the level of HS with up to 4.9 m in wave wash locations.

Place, publisher, year, edition, pages
2014. , 13 p.
National Category
Natural Sciences
URN: urn:nbn:se:umu:diva-84740OAI: diva2:689029
Educational program
Bachelor of Science in Biology and Earthscience
Available from: 2014-01-21 Created: 2014-01-19 Last updated: 2014-01-21Bibliographically approved

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Department of Ecology and Environmental Sciences
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