Dept of Physical Geography and Ecosystem Science
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- 2018
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Mark
Fjällbjörkmätarlarvers påverkan på fjällbjörkskog : en fjärranalysstudie om markvegetationsförhållanden i subalpin miljö
- Bach. Degree
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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
Glacial history of the upper Drac Blanc catchment (French Alps)
- Master (Two yrs)
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Mark
The road to food security : evaluating and improving open-access road data in Tanzania with satellite imagery
- Master (Two yrs)
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Mark
Analysis of the global ESA GlobPermafrost map for Scandinavia
- Master (Two yrs)
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Mark
Organic nitrogen and carbon in Swedish rivers : increasing trends from 1987-2017
- Bach. Degree
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Mark
BIM to GIS-based building model conversion in support of urban energy simulation
(2018) In Lund University GEM thesis series NGEM01 20181
Dept of Physical Geography and Ecosystem Science- Master (Two yrs)
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Mark
Transformation and linking of authoritative multi-scale geodata for the Semantic Web : a case study of Swedish national building data sets
(2018) In Master Thesis in Geographical Information Science GISM01 20172
Dept of Physical Geography and Ecosystem Science- Master (Two yrs)
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Mark
HOP!: a PGIS and citizen science approach to monitoring the condition of upland paths
(2018) In Master Thesis in Geographical Information Science GISM01 20182
Dept of Physical Geography and Ecosystem Science- Master (Two yrs)
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Mark
Solar photovoltaic potential to complement hydropower in Ecuador : a GIS-based framework of analysis
(2018) In Master Thesis in Geographical Information Science GISM01 20182
Dept of Physical Geography and Ecosystem Science- Master (Two yrs)