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- 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)
- 2017
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Mark
Tracing mangrove forest dynamics of Bangladesh using historical Landsat data
- 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)
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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)
- 2016
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Mark
Geometric quality assessment of multi-rotor unmanned aerial vehicle borne remote sensing products for precision agriculture
- Master (Two yrs)
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Mark
Developing a web-based system to visualize vegetation trends by a nonlinear regression algorithm
- Master (Two yrs)
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Mark
Land Surface Phenology as an indicator of performance of conservation policies like Natura2000
(2016) In Lund University GEM thesis series NGEM01 20161
Dept of Physical Geography and Ecosystem Science- Master (Two yrs)
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Mark
Spatial assessment of NDVI as an indicator of desertification in Ethiopia using remote sensing and GIS
(2016) In Master Thesis in Geographical Information Science GISM01 20161
Dept of Physical Geography and Ecosystem Science- Master (Two yrs)
- 2015
-
Mark
Relationship between tree species composition and phenology extracted from satellite data in Swedish forests
(2015) In Master thesis in Geographical information science GISM01 20152
Dept of Physical Geography and Ecosystem Science- Master (Two yrs)
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Mark
Evaluation of pixel based and object based classification methods for land cover mapping with high spatial resolution satellite imagery, in the Amazonas, Brazil
- Master (Two yrs)