- title
- Updating of Rockfall inventory in the Montserrat massif (Spain)
- subtitle
- attributes in Point clouds for hazard assessment using Machine Learning techniques
- Please use the following URL when quoting:
- https://nbn-resolving.org/urn:nbn:de:bsz:14-qucosa2-986786
- conference
- 5th Virtual Geoscience Conference. Dresden, 21. - 22. September 2023
- Source
- VGC 2023 - Unveiling the dynamic Earth with digital methods
Herausgeber: Helmholtz-Institut Freiberg für Ressourcentechnologie
Herausgeber: Technische Universität Dresden
Erscheinungsort: Dresden
Erscheinungsjahr: 2023
Seiten: 120-121 - publication_date
- 2023
- doi
- https://doi.org/10.25368/2025.213
- Abstract (EN)
- The monitoring of rockfalls in the vertical cliffs close to the infrastructures of the tourist-religious area of the Montserrat massif (Barcelona, Spain) is a project that began in 2007 and is still active. Terrestrial Laser Scanners (TLS) techniques and their continuous evolution for the identification of rockfalls have marked this project, where the importance of using the most recent techniques has been a constant.
- Keywords (EN)
- TLS, Rockfall, Monitoring
- Classification (DDC)
- 550
- Classification (RVK)
- RB 10081
- corporation_editor0
- Helmholtz-Institut Freiberg für Ressourcentechnologie, Freiberg
- Technische Universität Dresden, Dresden
- version
- publizierte Version / Verlagsversion
- URN Qucosa
- urn:nbn:de:bsz:14-qucosa2-986786
- Qucosa date of publication
- 20.08.2025
- Document type
- in_proceeding
- Document language
- English
- licence
CC BY 4.0