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A master's thesis from Aalborg University
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Monitoring coastal erosion in Denmark, Hirtshals – Løkken, using Remote Sensing data

Authors

;

Term

4. semester

Publication year

2016

Submitted on

Pages

100

Abstract

Dette projekt overvåger og vurderer kysterosion langs kyststrækningen Hirtshals–Løkken i Nordjylland ved hjælp af fjernmålingsdata (billedbaserede observationer) fra forskellige år. Først beskrives studieområdet og begrundelsen for valget. Derefter præsenteres dataene og tre softwareværktøjer—eCognition, ArcMap og MATLAB. For at tydeliggøre forskellene mellem værktøjerne udføres test og sammenligninger, og de vigtigste konklusioner opsummeres. På grund af arbejdsmængde og tidsramme er effektivitet et centralt kriterium med målet om en så automatisk arbejdsgang som muligt. Efter at have udtrukket erosionslinjer (grænser, der markerer ændringer i kystens position) for hvert datasæt, præsenteres analyser og statistik om erosion samt om den stabiliserende effekt af kystbeskyttelsesanlæg langs denne strækning.

This project monitors and evaluates coastal erosion along the Hirtshals–Løkken coastline in northern Denmark using remote sensing data (image-based observations) from different years. It first describes the study area and the reasons for its selection. The data and three software tools—eCognition, ArcMap and MATLAB—are then introduced. To clarify how these tools differ, tests and comparisons are carried out and key conclusions are summarized. Because of the workload and time frame, efficiency is a key criterion, with a goal of achieving a workflow that is as close to automatic as possible. After extracting erosion lines (boundaries that mark changes in the coastline position) for each dataset, the project presents analyses and statistics on erosion and on the stabilizing effect of coastal protection structures along this stretch.

[This abstract was generated with the help of AI]