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- 2022
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Mark
Evaluating Sentinel-2 based phenology and productivity data for crop monitoring in Swedish agricultural fields
- Master (Two yrs)
- 2021
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Mark
Relating land-use and plant biodiversity in Scanian semi-natural grazing lands
- Master (Two yrs)
- 2020
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Mark
ENSO teleconnections - Analysis of time lag between tropical Pacific sea surface temperature and climate and vegetation anomalies
- Master (Two yrs)
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Mark
Ashish Vivekar (2020) Evaluation of methodology for estimating crop yield from multispectral UAV images : a case study at Lönnstorp, Sweden
(2020) In Lund University GEM thesis series NGEM01 20191
Dept of Physical Geography and Ecosystem Science- Master (Two yrs)
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Mark
Modelling gross primary production in semi-arid regions: effects on carbon uptake of intensive agriculture in southern Kenya
- Master (Two yrs)
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Mark
Assessing annual forest phenology: a comparison of Unmanned Aerial Vehicle (UAV) and phenocamera datasets
- Master (Two yrs)
- 2019
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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
Vegetation phenology derived using the plant phenology index and the normalized difference vegetation index for the Balkan peninsula, south-eastern Europe
- Master (Two yrs)
- 2018
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Mark
Assessing edge pixel classification and growing stock volume estimation in forest stands using a machine learning algorithm and Sentinel-2 data
- Master (Two yrs)
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Mark
Radiometric correction of multispectral images collected by a UAV for phenology studies
- Master (Two yrs)