- AutorIn
- Mieke Kuschnerus Geoscience and Remotesensing Department, Delft University of Technology, Netherland
- Sander VosHydraulic Engineering Department, Delft University of Technology, Netherland
- Sierd de VriesHydraulic Engineering Department, Delft University of Technology, Netherland
- José A. Á. Antolínez
- Roderik Lindenbergh
- Titel
- Testing Theory for Identification of Aeolian Sand Transport Trends in 4D Data from Permanent Laser Scanning
- Zitierfähige Url:
- https://nbn-resolving.org/urn:nbn:de:bsz:14-qucosa2-985024
- Konferenz
- 5th Virtual Geoscience Conference. Dresden, 21. - 22. September 2023
- Quellenangabe
- VGC 2023 - Unveiling the dynamic Earth with digital methods
Herausgeber: Helmholtz-Institut Freiberg für Ressourcentechnologie
Herausgeber: Technische Universität Dresden
Erscheinungsort: Dresden
Erscheinungsjahr: 2023
Seiten: 24-25 - Erstveröffentlichung
- 2023
- DOI
- https://doi.org/10.25368/2025.164
- Abstract (EN)
- Long-term coastal monitoring is essential in the study of effects of climate change on urban sandy beaches. Slow processes such as gradual erosion or accretion due to aeolian sand transport are difficult to observe and quantify with incidental in-situ or remote sensing methods, such as satellite observations or airborne laser scanning. Permanent laser scanning (PLS), a laser scanner installed long term on a fixed location and scanning in regular intervals (hourly), provides a unique opportunity to monitor and analyse these processes.
- Freie Schlagwörter (DE)
- Permanentes Laserscanning, Hypothesentests, äolischer Sandtransport, Zeitreihen, Fernerkundung der Küstengebiete
- Freie Schlagwörter (EN)
- Permanent Laser Scanning, Hypothesis Testing, Aeolian Sand Transport, Time Series, Coastal Re-mote Sensing
- Klassifikation (DDC)
- 550
- Klassifikation (RVK)
- RB 10081
- Herausgeber (Institution)
- Helmholtz-Institut Freiberg für Ressourcentechnologie, Freiberg
- Technische Universität Dresden, Dresden
- Förder- / Projektangaben
- Netherlands Organization for Scientific Research (NWO)
Open Technology Programme
ID: 16352 - Version / Begutachtungsstatus
- publizierte Version / Verlagsversion
- URN Qucosa
- urn:nbn:de:bsz:14-qucosa2-985024
- Veröffentlichungsdatum Qucosa
- 15.08.2025
- Dokumenttyp
- Konferenzbeitrag
- Sprache des Dokumentes
- Englisch
- Lizenz / Rechtehinweis
CC BY 4.0