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- 2024
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Mark
Modelling of Potential Swedish 2022 Forest Fire Areas
- Bach. Degree
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Mark
Flood risk assessment using GIS and multi-criteria analysis: a pilot study from Rönne å River basin, Scania, Sweden
- Bach. Degree
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Mark
The hunt for the elusive Cantharellales: How to stake the odds in the mycophiles favour, using Species Distribution Modelling and GIS
- Bach. Degree
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Mark
The Potential of Small-Scale Urban Greening Interventions for Heat Mitigation and Biodiversity Conservation. A Neighbourhood-Scale Case Study in Cologne, Germany
- Master (Two yrs)
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Mark
From Space to Safety: Flood Mapping with Sentinel-1 SAR Data for Enhancing Flood Risk Management in Ljungby Municipality
- Master (Two yrs)
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Mark
The Relation Between Covid-19 Vaccination and Voting Trends in Lithuania: A Spatial Analysis
(2024) In Master Thesis in Geographical Information Science GISM01 20241
Dept of Physical Geography and Ecosystem Science- Master (Two yrs)
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Mark
Governance, war, and rain: Statistical analysis to evaluate agricultural dynamics in Northern Syria
- Bach. Degree
-
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
Early detection of bark beetle attacks: Integrating Segment Anything Model (SAM) zero-shot segmentation and spectral indices for tree health assessment
- Master (Two yrs)
-
Mark
Proximity to Urban Green Spaces for Older Adults in Specific Housings - a Case Study of Malmö, Sweden
(2024) In Master Thesis in Geographical Information Science GISM01 20241
Dept of Physical Geography and Ecosystem Science- Master (Two yrs)