St Andrews Research Repository

St Andrews University Home
View Item 
  •   St Andrews Research Repository
  • University of St Andrews Research
  • University of St Andrews Research
  • University of St Andrews Research
  • View Item
  •   St Andrews Research Repository
  • University of St Andrews Research
  • University of St Andrews Research
  • University of St Andrews Research
  • View Item
  •   St Andrews Research Repository
  • University of St Andrews Research
  • University of St Andrews Research
  • University of St Andrews Research
  • View Item
  • Login
JavaScript is disabled for your browser. Some features of this site may not work without it.

Analysis Of filtering techniques for investigating landslide-induced topographic changes in the Oetz Valley (Tyrol, Austria)

Thumbnail
View/Open
Gutierrez_2020_Analysis_of_filtering_ISPRS_Annals_V_2_2020_719_2020.pdf (11.26Mb)
Date
03/08/2020
Author
Gutierrez, I.
Før Gjermundsen, E.
Harcourt, W. D.
Kuschnerus, M.
Tonion, F.
Zieher, T.
Keywords
LiDAR
Change detection
Landslide
Terrain extraction
ISPRS Innsbruck Summer School of Alpine Research
QC Physics
QE Geology
T Technology
NDAS
Metadata
Show full item record
Altmetrics Handle Statistics
Altmetrics DOI Statistics
Abstract
Landslides endanger settlements and infrastructure in mountain areas across the world. Monitoring of landslides is therefore essential in order to understand and possibly predict their behavior and potential danger. Terrestrial laser scanning has proven to be a successful tool in the assessment of changes on landslide surfaces due to its high resolution and accuracy. However, it is necessary to classify the 3D point clouds into vegetation and bare-earth points using filtering algorithms so that changes caused by landslide activity can be quantified. For this study, three classification algorithms are compared on an exemplary landslide study site in the Oetz valley in Tyrol, Austria. An optimal set of parameters is derived for each algorithm and their performances are evaluated using different metrics. The volume changes on the study site between the years 2017 and 2019 are compared after the application of each algorithm. The results show that (i) the tested filter techniques perform differently, (ii) their performance depends on their parameterization and (iii) the best-performing parameterization found over the vegetated test area will yield misclassifications on non-vegetated rough terrain. In particular, if only small changes have occurred the choice of the filtering technique and its parameterization play an important role in estimating volume changes.
Citation
Gutierrez , I , Før Gjermundsen , E , Harcourt , W D , Kuschnerus , M , Tonion , F & Zieher , T 2020 , ' Analysis Of filtering techniques for investigating landslide-induced topographic changes in the Oetz Valley (Tyrol, Austria) ' , ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences , vol. V-2-2020 , pp. 719-726 . https://doi.org/10.5194/isprs-annals-V-2-2020-719-2020
Publication
ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences
Status
Peer reviewed
DOI
https://doi.org/10.5194/isprs-annals-V-2-2020-719-2020
ISSN
2194-9042
Type
Journal article
Rights
Copyright © Author(s) 2020. This work is distributed under the Creative Commons Attribution 4.0 License.
Collections
  • University of St Andrews Research
URI
http://hdl.handle.net/10023/20649

Items in the St Andrews Research Repository are protected by copyright, with all rights reserved, unless otherwise indicated.

Advanced Search

Browse

All of RepositoryCommunities & CollectionsBy Issue DateNamesTitlesSubjectsClassificationTypeFunderThis CollectionBy Issue DateNamesTitlesSubjectsClassificationTypeFunder

My Account

Login

Open Access

To find out how you can benefit from open access to research, see our library web pages and Open Access blog. For open access help contact: openaccess@st-andrews.ac.uk.

Accessibility

Read our Accessibility statement.

How to submit research papers

The full text of research papers can be submitted to the repository via Pure, the University's research information system. For help see our guide: How to deposit in Pure.

Electronic thesis deposit

Help with deposit.

Repository help

For repository help contact: Digital-Repository@st-andrews.ac.uk.

Give Feedback

Cookie policy

This site may use cookies. Please see Terms and Conditions.

Usage statistics

COUNTER-compliant statistics on downloads from the repository are available from the IRUS-UK Service. Contact us for information.

© University of St Andrews Library

University of St Andrews is a charity registered in Scotland, No SC013532.

  • Facebook
  • Twitter