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- 2022
-
Mark
Evaluating Sentinel-2 based phenology and productivity data for crop monitoring in Swedish agricultural fields
- Master (Two yrs)
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Mark
Early-stage detection of bark beetle infested spruce forest stands using Sentinel-2 data and vegetation indices
- Master (Two yrs)
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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)
- 2021
-
Mark
Analysis of coastal erosion between different flights of UAV
- Master (Two yrs)
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Mark
Conforming building models derived in Esri's environment to the Swedish national specification for 3D data
- Master (Two yrs)
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Mark
An automated unmanned aerial vehicle – structure from motion pipeline to create analysis-ready digital surface models for coastal monitoring
- Master (Two yrs)
- 2020
-
Mark
NDVI time series analysis for desert locust outbreak detection and quantification analysis of its impact on vegetation productivity of Sahel
(2020) In Lund University GEM thesis series NGEM01 20181
Dept of Physical Geography and Ecosystem Science- Master (Two yrs)
-
Mark
Exploring methods for detecting maize plant density using Structure-from-Motion point clouds
- Master (Two yrs)
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Mark
Time series analysis for spring barley phenology monitoring using Sentinel 2 – A case study of Southern-central Sweden
- Master (Two yrs)
-
Mark
Detection of slush on the Greenland Ice Sheet using Moderate Resolution Imaging Spectroradiometer (MODIS) satellite imagery
- Bach. Degree