Courses and Modules Taught

Department of Earth and Environmental Sciences, Lund University, Sweden

  • BSc course on Environmental Monitoring / Miljöövervakning (Course co-Coordinator).

  • PhD course on Boreal Forest Resilience (Course co-Coordinator).

Department of Geosciences and Natural Resource Management, University of Copenhagen, Denmark

  • Introduction to Remote Sensing - Satellite-based Mapping of Natural Resources (Online).

School of Business, Innovation and Sustainability, Halmstad University, Sweden

  • Geographical Information Systems Focusing on Ecosystem Services and Sustainable Development.

Department of Physical Geography and Ecosystem Science, Lund University, Sweden

  • Applied Remote Sensing - Machine Learning for Earth Observations.

  • Introduction to R Programming: Introduction to Spatial Statistics.

  • Advanced Geographic Information Systems.

  • GIS in Physical Planning (Online).

Center for Sustainability Studies, Lund University, Sweden

  • GIS in Urban and Rural Sustainable Development.

Smithsonian Conservation Biology Institute, Smithsonian Institution, USA

  • Introduction to GIS and Remote Sensing for Conservationists, Smithsonian Conservation Biology Institute.

Open opportunities

Masters and Bachelor’s students enrolled at Lund University who are interested in writing their theses in the topics below are encouraged to contact me:

  • Landscape ecology

  • Land-use and land-cover analysis

  • Mapping ecosystem degradation and restoration

  • Remote sensing in biodiversity conservation and habitat quality assessment

Ongoing supervision

5. Wan Ni Lin (ongoing): Vegetation Fire Dynamics and Drivers in the Middle East. Ph.D. in Geobiosphere Science. Department of Earth and Environmental Sciences, Lund University. (Co-supervisor)

4. João Martins (ongoing): Satellite-based remote sensing for mapping forest dieback progress in Czechia. M.Sc. in Geographic Information Science. Department of Earth and Environmental Sciences, Lund University.

3. Rupert von der Kammer (ongoing): Spatial transferability of Sentinel-2 based tree species classification in Europe. M.Sc. in Physical Geography and Ecosystem Science. Department of Earth and Environmental Sciences, Lund University.

2. Maxime Widerkehr-Ritz (ongoing): Long-term monitoring of passive rewilding of Chernobyl after land abandonment using remote sensing. M.Sc. in Physical Geography and Ecosystem Science. Department of Earth and Environmental Sciences, Lund University.

1. Kamilla Naaden Motland (ongoing): Mapping bare sand wild bee habitats using Sentinel-2 and machine learning in central Scania. M.Sc. in GIS and Remote Sensing. Department of Earth and Environmental Sciences, Lund University.

Hosted Students

1. Marwa Elghoul (03/2023 - 06/2023): Visiting PhD Student (Faculty of Sciences of Bizerte, University of Carthage, Tunisia). Dissertation Topic: Ecology of breeding birds in the oases of southern Tunisia - Implications for management and conservation.

Past Supervision / Completed theses

10. Rebecca Sandvik (2026): UAVs in Mapping and Monitoring Stonewort Meadows - Assessing the Use of Remote Sensing in Shallow Coastal Lagoons in the Gulf of Bothnia. M.Sc. in Aquatic Ecology. Department of Biology, Lund University

9. Johannes Viskanic (2024): Governance, War, and Rain: Statistical analysis to evaluate agricultural developments in Northern Syria. B.Sc. in Physical Geography and Ecosystem Analysis. Department of Physical Geography and Ecosystem Science, Lund University

8. Tobias Rydlinge (2023): Urban tree canopy mapping - An open source deep learning approach. M.Sc. in Geographic Information Science. Department of Physical Geography and Ecosystem Science, Lund University.

7. Enass Al Kharusi (2021): Broad-Scale Patterns in CDOM and Total Organic Matter Concentrations of Inland Waters – Insights from Remote Sensing and GIS. Ph.D. in Geobiosphere Science. Department of Physical Geography and Ecosystem Science, Lund University. (Co-supervisor)

6. Emma Bylund (2021): Dynamics of net primary production and food availability in the aftermath of the 2004 and 2007 desert locust outbreaks in Niger and Yemen. M.Sc. in Geographic Information Science. Department of Physical Geography and Ecosystem Science, Lund University.

5. Camilla Persson (2019): Comparing the vegetation condition of 2017 and 2018 over southern Sweden using Sentinel-2 satellite imagery. M.Sc. in Geomatics. Department of Physical Geography and Ecosystem Science, Lund University.

4. Enzo Zerega (2018): Assessing edge pixel classification and growing stock volume in forest stands using a machine learning algorithm and Sentinel-2 data. M.Sc. in Geomatics. Department of Physical Geography and Ecosystem Science, Lund University.

3. Abdalla Eltayeb (2017): Mapping woody canopy cover in the semi-arid Sahel: an approach using satellite remote sensing and Google Earth imagery. M.Sc. in Geomatics. Department of Physical Geography and Ecosystem Science, Lund University.

2. Stefanos Georganos (2016)** Exploring the spatial relationship between NDVI and rainfall in the semi-arid Sahel using geographically weighted regression. M.Sc. in Geomatics. Department of Physical Geography and Ecosystem Science, Lund University. ** Thesis published peer-reviewed in the Journal of Arid Environments

1. Deborah Bowyer (2015): Measuring Urban Growth, Urban Form and Accessibility as Indicators of Urban Sprawl in Hamilton, New Zealand. M.Sc. in Geographical Information Science. Department of Physical Geography and Ecosystem Science, Lund University.