Markus Hollaus

According to our database1, Markus Hollaus authored at least 22 papers between 2009 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.



In proceedings 
PhD thesis 


Online presence:



Combination of Sentinel-1 and Sentinel-2 Data for Tree Species Classification in a Central European Biosphere Reserve.
Remote. Sens., 2022

Potential of Sentinel-1 C-Band Time Series to Derive Structural Parameters of Temperate Deciduous Forests.
Remote. Sens., 2021

Terrestrial Laser Scanning for Quantifying Timber Assortments from Standing Trees in a Mixed and Multi-Layered Mediterranean Forest.
Remote. Sens., 2021

A New Drone Laser Scanning Benchmark Dataset for Characterization of Single-Tree and Forest Biophysical Properties.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

Terrestrial Structure from Motion Photogrammetry for Deriving Forest Inventory Data.
Remote. Sens., 2019

Adaptive Framework for the Delineation of Homogeneous Forest Areas Based on LiDAR Points.
Remote. Sens., 2019

Automatic Detection of Potential Dam Locations in Digital Terrain Models.
ISPRS Int. J. Geo Inf., 2019

Pléiades satellite images for deriving forest metrics in the Alpine region.
Int. J. Appl. Earth Obs. Geoinformation, 2019

Impact of the Acquisition Geometry of Very High-Resolution Pléiades Imagery on the Accuracy of Canopy Height Models over Forested Alpine Regions.
Remote. Sens., 2018

A Case Study of UAS Borne Laser Scanning for Measurement of Tree Stem Diameter.
Remote. Sens., 2017

An Analysis of Ku-Band Profiling Radar Observations of Boreal Forest.
Remote. Sens., 2017

Reconstructing Stem Cross Section Shapes From Terrestrial Laser Scanning.
IEEE Geosci. Remote. Sens. Lett., 2017

Automatic and Self-Adaptive Stem Reconstruction in Landslide-Affected Forests.
Remote. Sens., 2016

Flood detection from multi-temporal SAR data using harmonic analysis and change detection.
Int. J. Appl. Earth Obs. Geoinformation, 2015

Delineation of Tree Crowns and Tree Species Classification From Full-Waveform Airborne Laser Scanning Data Using 3-D Ellipsoidal Clustering.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2014

A Practical Approach for Extracting Tree Models in Forest Environments Based on Equirectangular Projections of Terrestrial Laser Scans.
Remote. Sens., 2013

Comparison of Methods for Estimation of Stem Volume, Stem Number and Basal Area from Airborne Laser Scanning Data in a Hemi-Boreal Forest.
Remote. Sens., 2012

Forest Delineation Based on Airborne LIDAR Data.
Remote. Sens., 2012

A voxel-based approach for canopy structure characterization using full-waveform airborne laser scanning.
Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012

Estimation of Aboveground Biomass in Alpine Forests: A Semi-Empirical Approach Considering Canopy Transparency Derived from Airborne LiDAR Data.
Sensors, 2011

Roughness Mapping on Various Vertical Scales Based on Full-Waveform Airborne Laser Scanning Data.
Remote. Sens., 2011

Integrating earth observation and GIScience for high resolution spatial and functional modeling of urban land use.
Comput. Environ. Urban Syst., 2009