Markus Hollaus

TU Wien — Austria

Environmental Science · Physical Sciences

35h-index3.8kcitations156works10.32yr avg
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Research Topics

Remote Sensing and LiDAR Applications(129), Forest ecology and management(67), Forest Ecology and Biodiversity Studies(53), 3D Surveying and Cultural Heritage(43), Remote Sensing in Agriculture(33)

Publications156 total

Prescribed burning as a potential regeneration technique for reed stands: a pilot study in the reed belt of Lake Neusiedl, Austria
Wetlands Ecology and Management·2025· 1 citedOpen Access
A hybrid approach for enhanced tree volume estimation of complex trees using terrestrial LiDAR
GIScience & Remote Sensing·2025· 8 citedOpen Access
Benchmarking Software Solutions for Forest Inventory from Ground-Based Point Clouds
2025Open Access
Efficient derivation of allometric models using laser scanning for improved AGB estimations
2025Open Access
Closing Biodiversity Monitoring Gaps: A Workflow for Validation and Quality Assessment of Citizen Science Location Data for Amphibian and Reptile Monitoring in Private Gardens 
2025Open Access
Tree species classification based on full-waveform airborne laser scanning data
heiDOK (Heidelberg University)·2025· 61 citedOpen Access
Object-Based Upscaling of Growing Stock Volume Using Tls, Als, and Orthophoto Data in the Shivalik Forests of India
SSRN Electronic Journal·2025Open Access
Roughness Parameterization Using Full-Waveform Airborne LiDAR Data
heiDOK (Heidelberg University)·2025· 2 citedOpen Access
Terrestrial and Aerial LiDAR Dataset of Individual Trees in the Shivalik Range, India
2024
CNN-based transfer learning for forest aboveground biomass prediction from ALS point cloud tomography
European Journal of Remote Sensing·2024· 4 citedOpen Access
Hyper-resolution flood hazard mapping at the national scale
Natural hazards and earth system sciences·2024· 4 citedOpen Access
LiDAR Data Fusion to Improve Forest Attribute Estimates: A Review
Current Forestry Reports·2024· 78 citedOpen Access
Benchmarking Geometry-Based Leaf-Filtering Algorithms for Tree Volume Estimation Using Terrestrial LiDAR Scanners
Remote Sensing·2024· 9 citedOpen Access
Detection of perceived linear structures by deer based on abrupt vegetation height changes using airborne laser scanning data.
2024Open Access
From Point Clouds to Forest Complexity: Addressing Challenges of Structural Analysis of Forest Landscapes using Wall-To-Wall Airborne Laser Scanning Data
2024Open Access
Enhancing the temporal resolution of forest canopy height levels by combining Airborne Laser Scanning and Image Matching point clouds with the help of Machine Learning
2024Open Access
Sensing Heathland Vegetation Structure from Unmanned Aircraft System Laser Scanner: Comparing Sensors and Flying Heights
Lecture notes in geoinformation and cartography·2024
A Robust and Automatic Algorithm for TLS–ALS Point Cloud Registration in Forest Environments Based on Tree Locations
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing·2024· 18 citedOpen Access
Hyper-resolution flood hazard mapping at the national scale
2023· 1 citedOpen Access
Hybrid Approach for Precise Volume Estimation of Butressed Trees: Poisson Surface Reconstruction and TreeQSM Integration
2023
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Frequent Co-authors

Norbert Pfeifer(26), Wolfgang Wagner(17), Bernhard Höfle(7), Alena Dostálová(6), Eva Lindberg(5), Di Wang(5), Klemens Schadauer(5), Milutin Milenković(5), Camillo Ressl(5), Lothar Eysn(4), Wilfried Karel(4), Martin Mokroš(4), Wouter Dorigo(4), Werner Mücke(4), Martin Rutzinger(3), Peter Surový(3), Juha Hyyppä(3), Livia Piermattei(3), Bernhard Maier(3), Moritz Bruggisser(3)