Author:
Anders Katharina,Winiwarter Lukas,Mara Hubert,Lindenbergh Roderik,Vos Sander E.,Höfle Bernhard
Funder
Heidelberg Graduate School of Mathematical and Computational Methods for the Sciences, University of Heidelberg
Nederlandse Organisatie voor Wetenschappelijk Onderzoek
Subject
Computers in Earth Sciences,Computer Science Applications,Engineering (miscellaneous),Atomic and Molecular Physics, and Optics
Reference40 articles.
1. Detection and spatial prediction of rockfalls by means of terrestrial laser scanner monitoring;Abellán;Geomorphology,2010
2. High-frequency 3D geomorphic observation using hourly terrestrial laser scanning data of a sandy beach;Anders;ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci.,2019
3. Multitemporal terrestrial laser scanning point clouds for thaw subsidence observation at Arctic permafrost monitoring sites;Anders;Earth Surf. Process. Landforms,2020
4. 4D objects-by-change: Spatiotemporal segmentation of geomorphic surface change from LiDAR time series;Anders;ISPRS J. Photogramm. Remote Sens.,2020
5. Anders, K., Winiwarter, L., Mara, H., Lindenbergh, R., Vos, S. E., Höfle, B., 2021. Fully automatic spatiotemporal segmentation of 3D LiDAR time series for the extraction of natural surface changes [Source Code, Validation Material and Validation Results]. heiDATA, V1. doi: 10.11588/data/4HJHAA.
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