Always been curious about how we develop our methods for 3D/4D change analysis?
Then check out our new video on high-resolution and high-frequency monitoring of a rock glacier in Austria!
LiDAR datasets of the rock glacier provide the basis for the development of 3D and 4D methods for geomorphic change quantification within different research projects of the 3DGeo Research Group:
See also latest publications on methods for 3D/4D change analysis:
Anders, K., Winiwarter, L., Lindenbergh, R., Williams, J.G., Vos, S.E., Höfle, B. (2020): 4D objects-by-change: Spatiotemporal segmentation of geomorphic surface change from LiDAR time series. ISPRS Journal of Photogrammetry and Remote Sensing. Vol. 159, pp. 352-363. DOI: 10.1016/j.isprsjprs.2019.11.025.
Winiwarter, L., Anders, K. & Höfle, B. (2020): Herausforderungen in der Fehlerfortpflanzung von Laserscandaten für multitemporale Analysen zur verbesserten Quantifizierung des Level of Detection. In: 40. Wissenschaftlich-Technische Jahrestagung der DGPF. Vol. 29, pp. 373-380.
Anders, K., Lindenbergh, R.C., Vos, S., Mara, H., de Vries, S., Höfle, B. (2019): High-Frequency 3D Geomorphic Observation Using Hourly Terrestrial Laser Scanning Data Of A Sandy Beach, ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, IV-2/W5, 317-324, DOI: 10.5194/isprs-annals-IV-2-W5-317-2019.
Zahs, V., Hämmerle, M., Anders, K., Hecht, S., Rutzinger, M., Sailer, R., Williams, J.G., Höfle, B. (2019): Multi-temporal 3D point cloud-based quantification and analysis of geomorphological activity at an alpine rock glacier using airborne and terrestrial LiDAR. Permafrost and Periglacial Processes. Vol. 30 (3), pp. 222-238. https://doi.org/10.1002/ppp.2004.