Dept of Physical Geography and Ecosystem Science
221 – 230 of 1005
- show: 10
- |
- sort: year (new to old)
Close
Embed this list
<iframe src=" "
width=" "
height=" "
allowtransparency="true"
frameborder="0">
</iframe>
- 2022
-
Mark
Early-stage detection of bark beetle infested spruce forest stands using Sentinel-2 data and vegetation indices
(
- Master (Two yrs)
-
Mark
Mapping wetlands in Sweden using multi-source satellite data and random forest algorithm
(
- Master (Two yrs)
-
Mark
Vegetation cover change on Tindfjöll mountains, Iceland, assessed by aerial photographs, topography, and climate
(
- Master (Two yrs)
-
Mark
Arctic amplification and their relation to regional warming
(
- Bach. Degree
-
Mark
Assessing the impact of post-fire restoration interventions using spectral vegetation indices: A case study in El Bruc, Spain
2022) In Master Thesis in Geographical Information Science GISM01 20221(
Dept of Physical Geography and Ecosystem Science- Master (Two yrs)
-
Mark
Implementing a multi-criteria GIS analysis and predictive modelling to locate Upper Palaeolithic decorated caves in the Périgord noir, France
2022) In Master Thesis in Geographical Information Science GISM01 20221(
Dept of Physical Geography and Ecosystem Science- Master (Two yrs)
-
Mark
Evaluating Sentinel-2 based phenology and productivity data for crop monitoring in Swedish agricultural fields
(
- Master (Two yrs)
-
Mark
Mussels in deep water with climate change: Spatial distribution of mussel (Mytilus galloprovincialis) growth offshore in the French Mediterranean with respect to climate change scenario RCP 8.5 Long Term and Integrated Multi-Trophic Aquaculture (IMTA) using Dynamic Energy Budget (DEB) modelling
2022) In Master Thesis in Geographical Information Science GISM01 20221(
Dept of Physical Geography and Ecosystem Science- Master (Two yrs)
-
Mark
Mapping edge vegetation in connection to beech forest to locate potential habitats for red-listed beetles in Scania, Sweden
(
- Bach. Degree
-
Mark
The Influence of Natural Radon Occurrence on the Severity of the COVID-19 Pandemic in Germany: a Spatial Analysis
2022) In Master Thesis in Geographical Information Science GISM01 20221(
Dept of Physical Geography and Ecosystem Science- Master (Two yrs)