Dept of Physical Geography and Ecosystem Science
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- 2024
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Mark
Station-level demand prediction in bike-sharing systems through machine learning and deep learning methods
- Master (Two yrs)
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Mark
Land cover classification using machine-learning techniques applied to fused multi-modal satellite imagery and time series data
(2024) In Master Thesis in Geographical Information Science GISM01 20232
Dept of Physical Geography and Ecosystem Science- Master (Two yrs)
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Mark
Integrating Local Knowledge into the Spatial Analysis of Wind Power: The case study of Northern Tzoumerka, Greece
(2024) In Master Thesis in Geographical Information Science GISM01 20232
Dept of Physical Geography and Ecosystem Science- Master (Two yrs)
- 2023
-
Mark
Road traffic noise simulations based on 3D city models
- Master (Two yrs)
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Mark
High tide flooding in near future projections for popular travel destinations
- Master (Two yrs)
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Mark
Urban tree canopy mapping -an open source deep learning approach
(2023) In Master Thesis in Geographical Information Science GISM01 20231
Dept of Physical Geography and Ecosystem Science- Master (Two yrs)
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Mark
Testing aerosol vertical profiling methods with portable instruments on unmanned and manned aircraft
- Master (Two yrs)
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Mark
Analysis of simulated functional diversity in tropical forests: Differences between cultivated and naturally grown secondary forests in Cambodia
- Master (Two yrs)
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Mark
Using a GIS to enable an economic, land use and energy output comparison between small wind powered turbines and large-scale wind farms: the case of Oslo, Norway.
(2023) In Master Thesis in Geographical Information Science GISM01 20231
Dept of Physical Geography and Ecosystem Science- Master (Two yrs)
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Mark
Wildfire growth modelling in Sweden - a suitability assessment of available data
(2023) In Master Thesis in Geographical Information Science GISM01 20222
Dept of Physical Geography and Ecosystem Science- Master (Two yrs)