| Retrieval of higher order statistical moments from full-waveform LiDAR data for tree species classification M Bruggisser, A Roncat, ME Schaepman, F Morsdorf Remote sensing of environment 196, 28-41, 2017 | 39 | 2017 |
| Influence of ULS acquisition characteristics on tree stem parameter estimation M Bruggisser, M Hollaus, J Otepka, N Pfeifer ISPRS Journal of Photogrammetry and Remote Sensing 168, 28-40, 2020 | 27 | 2020 |
| Potential of Sentinel-1 C-band time series to derive structural parameters of temperate deciduous forests M Bruggisser, W Dorigo, A Dostálová, M Hollaus, C Navacchi, S Schlaffer, ... Remote Sensing 13 (4), 798, 2021 | 18 | 2021 |
| Comparison of Forest Structure Metrics Derived from Uav LIDAR and ALS Data M Bruggisser, M Hollaus, D Kükenbrink, N Pfeifer ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information …, 2019 | 17 | 2019 |
| Adaptive framework for the delineation of homogeneous forest areas based on lidar points M Bruggisser, M Hollaus, D Wang, N Pfeifer Remote Sensing 11 (2), 189, 2019 | 6 | 2019 |
| Characterization of forest edge structure from airborne laser scanning data M Bruggisser, Z Wang, C Ginzler, C Webster, LT Waser Ecological Indicators 159, 111624, 2024 | | 2024 |
| Countrywide characterization of forest edge structure from airborne laser scanning data M Bruggisser, Z Wang, LT Waser EGU General Assembly Conference Abstracts, EGU-2288, 2023 | | 2023 |
| The potential of sentinel-1 data to supplement high resolution earth observation data for monitoring green areas in cities A Iglseder, M Bruggisser, A Dostálová, N Pfeifer, S Schlaffer, W Wagner, ... The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2021 | | 2021 |
| Derivating forest structure from Sentinel-1 time series to assist forest fire risk assessments M Bruggisser, W Dorigo, A Dostálová, M Hollaus, C Navacchi, S Schlaffer, ... EGU General Assembly Conference Abstracts, EGU21-9033, 2021 | | 2021 |
| Improving forest mensurations with high resolution point clouds M Bruggisser Technische Universität Wien, 2021 | | 2021 |
| Influence of ULS data acquisition characteristics on the achievable stem reconstruction accuracies M Bruggisser, J Otepka, N Pfeifer, M Hollaus EGU2020, 2020 | | 2020 |
| Impacts of acquisition patterns on the robustness and accuracy of tree models derived from UAV LiDAR for forest dynamic studies M Bruggisser, M Hollaus, L Winiwarter, J Otepka-Schremmer, D Wang, ... | | 2020 |
| Impact of Acquisition Characteristics of Unmanned Aerial Vehicle LiDAR Missions on the Quality of Derived Forest Metrics M Bruggisser, M Hollaus, D Wang, W Karel, J Otepka-Schremmer, ... | | 2019 |
| Unmanned Aerial System LiDAR data as basis for in-situ forest inventories M Hollaus, W Karel, N Pfeifer, M Bruggisser, M Wieser, M Bremer, ... | | 2019 |
| UAS-LiDAR supported forest inventories: Possibilities and limitations M Hollaus, M Wieser, M Bruggisser, L Piermattei, N Pfeifer, G Bronner | | 2019 |
| Automated Area-Wide Tree Species Mapping Based on Sentinel-2 Imagery: Influence of Topography and Forest Structure on Classification Quality A Kollert, M Rutzinger, M Bremer, M Hollaus, N Pfeifer, M Bruggisser, ... | | 2019 |
| Abgrenzung homogener Waldstücke in ALS-Punktwolken M Bruggisser, M Hollaus, D Wang, N Pfeifer Dreiländertagung der OVG, DGPF und SGPF: Photogrammetrie-Fernerkundung …, 2019 | | 2019 |
| Segmentation of homogeneous forest plots within point clouds for forest plot characterization M Bruggisser, M Hollaus, N Pfeifer EGU General Assembly Conference Abstracts, 14510, 2018 | | 2018 |
| Physically-based Multi-temporal LiDAR Traits for Species Discrimination in a Temperate Mixed Forest F MORSDORF, M BRUGGISSER, CG ESCRIBA, D KUEKENBRINK, ... | | |
Norbert PfeiferProfessor of Photogrammetry, TU Wien, Department of Geodesy and GeoinformationEmail verificata su tuwien.ac.at
