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- 2022
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Mark
Evaluating forest wildfire effect on tree increment patterns for boreonemoral forests in Sweden: A pilot study using remote sensing
(
- Master (Two yrs)
- 2021
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Mark
“Looking for the trees in the forest“ An attempt to finding the best segmentation-based methodology to discriminate deciduous trees in the Dubbarp area, Sweden
(
- Master (Two yrs)
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Mark
Monitoring wetland cover changes during the past two decades within the protected areas of the Sudd wetland in South Sudan using MODIS data
(
- Master (Two yrs)
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Mark
Creating a workflow of 3D building data in a municipality context
(
- Master (Two yrs)
-
Mark
Development of a deep learning method for soil moisture estimation at high spatial and temporal resolution using satellite data
(
- Master (Two yrs)
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Mark
Impact of fire and frost drought events on vegetation greenness and albedo in Subarctic Scandinavia
(
- Master (Two yrs)
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Mark
Digitalization in the rail industry: Localizing damaged cargo wagons using spatial operations and big data
(
- Master (Two yrs)
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Mark
Modelling solar access at the window level of buildings – a case study for urban densification simulations in Sweden
(
- Master (Two yrs)
- 2020
-
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)
-
Mark
Automatic label placement for city maps with the labelling library PAL
(
- Master (Two yrs)