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Hans-Gerd Maas

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Open access Sep 2026

Evaluation of the Potential of NASA GEDI Data for the Analysis of Vertical Vegetation Structure

Accurate knowledge of vegetation structure is crucial for many aspects of the scientific study of ecosystems. LiDAR is a leading technology for efficiently capturing vegetation structure and plays an important role in forestry and forest science. LiDAR systems can operate from a variety of platforms, including tripod...

M. Davoudkhani, Katja Richter, Anne Bienert et al. · 0 citations
Open access Jul 2026

Photogrammetric monitoring of load-induced vertical deformations in the superstructure of a research bridge

Abstract. Structural health monitoring of bridge infrastructure is conventionally carried out either through the acquisition of data from embedded sensor arrays or through systematic inspection and documentation of surface-observable changes on the structure. External deterioration, such as crack formation or load-indu...

R. Blaskow, H. Sardemann, Hans-Gerd Maas · 0 citations
Open access Jul 2026

A Workflow for the automatic Extraction of Glacier Contours from 4D Point Clouds

A basic workflow for the automatic extraction of glacier contours from high-resolution multi-temporal 3D point clouds based on the hypothesis, that glacier movements cause changes in multi-temporal surface models, is proposed.

S. Isfort, Melanie Elias, Hans-Gerd Maas · 0 citations
Open access Jul 2026

Evaluating the Adaptation Potential of SAM2 for Glacier Segmentation in severe Weather

Experimental results demonstrate that the adapted SAM2 model achieves stable segmentation under moderate environmental variability, while degrading under severe visibility loss, consistent across model scales and input resolutions.

Bindusara Nagathihalli Lokesh, Laura Camila Duran Vergara, Hans-Gerd Maas et al. · 1 citation

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