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- 2023
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Mark
Usability of Sentinel-1 C-band VV and VH SAR data for the detection of flooded oil palm
2023) In Master Thesis in Geographical Information Science GISM01 20231(
Dept of Physical Geography and Ecosystem Science- Master (Two yrs)
- 2022
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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)
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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)
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Mark
Geometric comparison of 3D city models for daylight simulations
(
- Master (Two yrs)
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Mark
The land carbon sink of Lithuanian forests in the light of climate change: A model approach
(
- Bach. Degree
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Mark
Evaluating Sentinel-2 based phenology and productivity data for crop monitoring in Swedish agricultural fields
(
- Master (Two yrs)
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Mark
Mapping Fire Salamander (Salamandra salamandra) Habitat Suitability in Baden-Württemberg with Multi-Temporal Sentinel-1 and Sentinel-2 Imagery
2022) In Master Thesis in Geographical Information Science GISM01 20221(
Dept of Physical Geography and Ecosystem Science- Master (Two yrs)
-
Mark
Conceptualizing the Role of the Financial Industry in Sustainability Transitions in Agriculture
(
- Master (Two yrs)
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Mark
ALS (Airborne Lidar) accuracy: Can potential low data quality of Lidar ground points be modelled/detected based on recorded point cloud characteristics? Case study of 2016 Lidar capture over Auckland, New Zealand
2022) In Master Thesis in Geographical Information Science GISM01 20212(
Dept of Physical Geography and Ecosystem Science- Master (Two yrs)