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- 2021
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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
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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)
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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)
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Mark
Exploring methods for detecting maize plant density using Structure-from-Motion point clouds
(
- Master (Two yrs)
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Mark
Detection of slush on the Greenland Ice Sheet using Moderate Resolution Imaging Spectroradiometer (MODIS) satellite imagery
(
- Bach. Degree
- 2019
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Mark
Investigating result quality indicators in industry foundation classes to city geography markup language conversion
(
- Master (Two yrs)
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Mark
RGB and Multispectral UAV image classification of agricultural fields using a machine learning algorithm
(
- Master (Two yrs)
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Mark
Investigating the accuracy of Digital Elevation Models from UAV images in areas with low contrast : a sandy beach as a case study
2019) In Master Thesis in Geographical Information Science GISM01 20182(
Dept of Physical Geography and Ecosystem Science- Master (Two yrs)
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Mark
Detecting bark beetle damage with Sentinel-2 multi-temporal data in Sweden
(
- Master (Two yrs)
-
Mark
3D cadastral visualization and integration of CityGML3.0 with Land Administration Domain Model
(
- Master (Two yrs)