- AutorIn
- Felix Dahle Dept. of Geoscience & Remote Sensing, Delft University of Technology, the Netherlands
- Roderik LindenberghDept. of Geoscience & Remote Sensing, Delft University of Technology, the Netherlands
- Bert WoutersDept. of Geoscience & Remote Sensing, Delft University of Technology, the Netherlands
- Titel
- Unlocking the Potential of Historical Aerial Imagery for the Antarctic Peninsula
- Untertitel
- Automating 3D Reconstruction using Py-thon and MicMac
- Zitierfähige Url:
- https://nbn-resolving.org/urn:nbn:de:bsz:14-qucosa2-985330
- 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: 40-41 - Erstveröffentlichung
- 2023
- DOI
- https://doi.org/10.25368/2025.173
- Abstract (EN)
- The US Geological Survey (USGS) has made available a vast collection of historical aerial imagery from Antarctica, known as the TMA archive, captured by the U.S. Navy between 1946 and 2000. Our project aims to leverage this valuable resource to generate Digital Elevation Models (DEMs) of the region, enabling us to assess long-term changes in ice elevation on the Antarctic Peninsula. To achieve this, we employ Structure from Motion (SfM), a photogrammetric technique that constructs 3D structures from two-dimensional images by iden-tifying tie-points between them.
- Freie Schlagwörter (EN)
- Historical Imagery, Photogrammetry, Structure from Motion, Antarctica, Aerial Imagery
- Klassifikation (DDC)
- 550
- Klassifikation (RVK)
- RB 10081
- Herausgeber (Institution)
- Helmholtz-Institut Freiberg für Ressourcentechnologie, Freiberg
- Technische Universität Dresden, Dresden
- Förder- / Projektangaben
- Netherlands Organisation for Scientific Research (NWO)
ID: ALWGO.2019.044 - Version / Begutachtungsstatus
- publizierte Version / Verlagsversion
- URN Qucosa
- urn:nbn:de:bsz:14-qucosa2-985330
- Veröffentlichungsdatum Qucosa
- 18.08.2025
- Dokumenttyp
- Konferenzbeitrag
- Sprache des Dokumentes
- Englisch
- Lizenz / Rechtehinweis
CC BY 4.0