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- 2022
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Mark
Segmentation, Classification and Tracking of Objects in LiDAR Point Cloud Data Using Deep Learning
(2022) In Master's Theses in Mathematical Sciences FMAM05 20212
Mathematics (Faculty of Engineering)- Master (Two yrs)
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Mark
ALS (Airborne Lidar) accuracy: Can potential low data quality of Lidar ground points be modelled/detected based on recorded point cloud characteristics? Case study of 2016 Lidar capture over Auckland, New Zealand
(2022) In Master Thesis in Geographical Information Science GISM01 20212
Dept of Physical Geography and Ecosystem Science- Master (Two yrs)
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Mark
A re-investigation of hummocky moraine formed from ice sheet decay using geomorphological and sedimentological evidence in the Vomb area, southern Sweden
- Master (Two yrs)
- 2021
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Mark
Characterisation of Low-Level Jets and their Influence on Low-Level Clouds over the Baltic Sea; Östergarnsholm Observatory, Sweden
- Bach. Degree
- 2020
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Mark
Implementation of Scheimpflug Lidar for Entomological Monitoring of Bark Beetles
- Master (One yr)
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Mark
Heterodyne Detection using Frequency-Modulated Continuous-Wave LiDAR
- Master (Two yrs)
- 2019
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Mark
Eoliska avlagringar och vindriktningar under holocen i och kring Store Mosse, södra Sverige
- Bach. Degree
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Mark
LiDAR Pedestrian Detector and Semi-Automatic Annotation Tool for Labeling of 3D Data
(2019) In Master's Theses in Mathematical Sciences FMAM05 20191
Mathematics (Faculty of Engineering)- Master (Two yrs)
- 2018
-
Mark
Inundation scenarios in a changing climate : assessing potential impacts of sea-level rise on the coast of South-East England
(2018) In Master Thesis in Geographical Information Science GISM01 20172
Dept of Physical Geography and Ecosystem Science- Master (Two yrs)
- 2017
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Mark
Dynamics of a retreating ice sheet : a LiDAR study in Värmland, SW Sweden
- Master (Two yrs)