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- 2024
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Mark
Crop yield predictions using sequential UAV imagery and deep learning
(
- 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)
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Mark
Methods for storing simulation output in semantic 3D city models
(
- 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)
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Mark
Utveckling av metoder för att hantera transporttemat inom 3D stadsmodeller
(
- Master (Two yrs)
- 2023
-
Mark
Exploring patterns in risk factors for bark beetle attack during outbreaks triggered by drought stress with harvester data on attacked trees: A case study in Southeastern Sweden
2023) In Master Thesis in Geographical Information Science GISM01 20232(
Dept of Physical Geography and Ecosystem Science- Master (Two yrs)
- 2022
-
Mark
Distribution Analysis of Impatiens glandulifera in Kronoberg County and a Pest Risk Map for Alvesta Municipality
2022) In Master Thesis in Geographical Information Science GISM01 20222(
Dept of Physical Geography and Ecosystem Science- Master (Two yrs)
-
Mark
Early-stage detection of bark beetle infested spruce forest stands using Sentinel-2 data and vegetation indices
(
- Master (Two yrs)
-
Mark
Evaluating Sentinel-2 based phenology and productivity data for crop monitoring in Swedish agricultural fields
(
- Master (Two yrs)
- 2021
-
Mark
Conforming building models derived in Esri's environment to the Swedish national specification for 3D data
(
- Master (Two yrs)