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- 2020
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Mark
Assessing annual forest phenology: a comparison of Unmanned Aerial Vehicle (UAV) and phenocamera datasets
(
- 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
ENSO teleconnections - Analysis of time lag between tropical Pacific sea surface temperature and climate and vegetation anomalies
(
- Master (Two yrs)
- 2019
-
Mark
Vegetation phenology derived using the plant phenology index and the normalized difference vegetation index for the Balkan peninsula, south-eastern Europe
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- Master (Two yrs)
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Mark
RGB and Multispectral UAV image classification of agricultural fields using a machine learning algorithm
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- Master (Two yrs)
- 2018
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Mark
Radiometric correction of multispectral images collected by a UAV for phenology studies
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- Master (Two yrs)
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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
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- Master (Two yrs)
- 2017
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Mark
Tracing mangrove forest dynamics of Bangladesh using historical Landsat data
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- Master (Two yrs)
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Mark
Joint use of Sentinel-1 and Sentinel-2 for land cover classification : a machine learning approach
2017) In Lund University GEM thesis series NGEM01 20162(
Dept of Physical Geography and Ecosystem Science- Master (Two yrs)
-
Mark
Study of radiometric variations in Unmanned Aerial Vehicle remote sensing imagery for vegetation mapping
2017) In Lund University GEM thesis series NGEM01 20171(
Dept of Physical Geography and Ecosystem Science- Master (Two yrs)