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Gottfried Mandlburger
Gottfried Mandlburger
University Professor
Verified email at geo.tuwien.ac.at - Homepage
Title
Cited by
Cited by
Year
Beyond 3-D: The new spectrum of lidar applications for earth and ecological sciences
JUH Eitel, B Höfle, LA Vierling, A Abellán, GP Asner, JS Deems, ...
Remote Sensing of Environment 186, 372-392, 2016
3152016
OPALS–A framework for Airborne Laser Scanning data analysis
N Pfeifer, G Mandlburger, J Otepka, W Karel
Computers, Environment and Urban Systems 45, 125-136, 2014
2272014
Water surface mapping from airborne laser scanning using signal intensity and elevation data
B Höfle, M Vetter, N Pfeifer, G Mandlburger, J Stötter
Earth Surface Processes and Landforms 34 (12), 1635-1649, 2009
2172009
Topo-bathymetric LiDAR for monitoring river morphodynamics and instream habitats—A case study at the Pielach River
G Mandlburger, C Hauer, M Wieser, N Pfeifer
Remote Sensing 7 (5), 6160-6195, 2015
1572015
Airborne laser bathymetry–detecting and recording submerged archaeological sites from the air
M Doneus, N Doneus, C Briese, M Pregesbauer, G Mandlburger, ...
Journal of Archaeological Science 40 (4), 2136-2151, 2013
1322013
LiDAR data filtering and DTM generation
N Pfeifer, G Mandlburger
Topographic Laser Ranging and Scanning, 307-334, 2017
1082017
Concept and performance evaluation of a novel UAV-borne topo-bathymetric LiDAR sensor
G Mandlburger, M Pfennigbauer, R Schwarz, S Flöry, L Nussbaumer
Remote Sensing 12 (6), 986, 2020
1072020
Analyzing near water surface penetration in laser bathymetry–A case study at the River Pielach
G Mandlburger, M Pfennigbauer, N Pfeifer
ISPRS annals of the photogrammetry, remote sensing and spatial information …, 2013
1022013
Hydraulically related hydro‐morphological units: description based on a new conceptual mesohabitat evaluation model (MEM) using LiDAR data as geometric input
C Hauer, G Mandlburger, H Habersack
River Research and Applications 25 (1), 29-47, 2009
972009
A case study of UAS borne laser scanning for measurement of tree stem diameter
M Wieser, G Mandlburger, M Hollaus, J Otepka, P Glira, N Pfeifer
Remote Sensing 9 (11), 1154, 2017
872017
Optimisation of LiDAR derived terrain models for river flow modelling
G Mandlburger, C Hauer, B Höfle, H Habersack, N Pfeifer
Hydrology and Earth System Sciences 13 (8), 1453-1466, 2009
782009
Rigorous strip adjustment of UAV-based laserscanning data including time-dependent correction of trajectory errors
P Glira, N Pfeifer, G Mandlburger
Photogrammetric Engineering & Remote Sensing 82 (12), 945-954, 2016
772016
Local accuracy measures for digital terrain models
K Kraus, W Karel, C Briese, G Mandlburger
The Photogrammetric Record 21 (116), 342-354, 2006
722006
Design and evaluation of a full-wave surface and bottom-detection algorithm for LiDAR bathymetry of very shallow waters
R Schwarz, G Mandlburger, M Pfennigbauer, N Pfeifer
ISPRS journal of photogrammetry and remote sensing 150, 1-10, 2019
682019
Orientation and processing of airborne laser scanning data (OPALS)—Concept and first results of a comprehensive ALS software
G Mandlburger, J Otepka, W Karel, W Wagner, N Pfeifer
ISPRS Workshop Laserscanning 9, 2009
652009
Airborne laser bathymetry for documentation of submerged archaeological sites in shallow water
M Doneus, I Miholjek, G Mandlburger, N Doneus, G Verhoeven, C Briese, ...
Underwater 3D Recording and Modeling (ISPRS TC V, CIPA) 40, 99-107, 2015
642015
Quantification of Overnight Movement of Birch (Betula pendula) Branches and Foliage with Short Interval Terrestrial Laser Scanning
E Puttonen, C Briese, G Mandlburger, M Wieser, M Pfennigbauer, ...
Frontiers in plant science 7, 222, 2016
572016
Land cover dependent derivation of digital surface models from airborne laser scanning data
M Hollaus, G Mandlburger, N Pfeifer, W Mücke
IAPRS 38, 1-3, 2010
522010
Evaluation of a novel UAV-borne topo-bathymetric laser profiler
G Mandlburger, M Pfennigbauer, M Wieser, U Riegl, N Pfeifer
The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2016
512016
Classification of ALS point clouds using end-to-end deep learning
L Winiwarter, G Mandlburger, S Schmohl, N Pfeifer
PFG–journal of photogrammetry, remote sensing and geoinformation science 87 …, 2019
492019
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