Projects
A selection of academic and research projects completed between 2025 and 2026. Additional entries, figures, maps, and images will be added in due course.
AGRO-ALBORAN: Agro-Climatic Thermal Extremes in the Alboran Region
NGEK01: Bachelor Degree Project
March 2026
Lund University · Under Development
AGRO-ALBORAN is an integrated research project examining climate-induced thermal risks to agricultural stability in the transboundary Alboran region, spanning southern Spain and northern Morocco. Its core premise is that, even if water scarcity is mitigated, heat stress may still sterilise pollen and significantly reduce crop yields across one of the Mediterranean's most important cross-border agricultural zones.
The project is organised around two complementary theses that form a past-to-future analytical pipeline. The sister thesis establishes the historical baseline by analysing Vegetation Health Index responses to heatwaves from 2000 to the present across Almería and Nador. Building on this foundation, my thesis projects forward, using CMIP6 climate scenarios to map the spatiotemporal expansion of critical thermal-threshold exceedances for key crops, including olive and tomato. It also assesses whether existing transboundary governance frameworks, most notably the EU–Morocco Green Partnership, are equipped to address the systemic food-security risks that may result.
CMIP6 Climate Projections · Policy Analysis · Spatial Modelling · Thermal Threshold Analysis · Transboundary Food Security Governance · VHI Analysis
Soil Erosion in the Gasaka Catchment, Rwanda
NGEA09: Land Surface Processes & Landscape Dynamics
March 2026
Lund University
A field-based study quantified water-driven soil erosion in the Gasaka catchment, Nyamagabe District, southern Rwanda, a hilly, agriculturally intensive landscape typical of erosion-prone areas in sub-Saharan Africa.
The study applied a spatially explicit RUSLE (Revised Universal Soil Loss Equation) framework, combining rainfall erosivity, soil erodibility, topography, land cover, and conservation practices to estimate annual soil loss across the catchment. Results showed a mean soil loss of 126.2 t ha⁻¹ yr⁻¹, with hotspots exceeding 1,300 t ha⁻¹ yr⁻¹. Sediment connectivity analysis found that most mobilised material is retained within the catchment instead of reaching the stream network. Field measurements, erosion stakes, and a resident questionnaire supported the modelling work.
ArcGIS Pro · CHIRPS Precipitation Data · Google Earth Engine · Index of Connectivity · QField · Sediment Delivery Ratio
Buffalo Plains Wind Farm
1GV114: Wind Power Basics
January 2026
Uppsala University
A three-part project assignment analysing Canada's largest onshore wind energy facility, the 494 MW Buffalo Plains Wind Farm in Vulcan County, Alberta, owned by Copenhagen Infrastructure Partners. The project examines site selection and geographic context, turbine technology, and broader impacts on environmental, financial, and community aspects.
The analysis covers the farm's mixed Siemens Gamesa turbine configuration (83 turbines across two models), its CAD $850 million to $1 billion investment structure, a long-term power purchase agreement with Amazon for 415 MW, and tensions between economic benefit and local opposition in the Village of Lomond. Environmental considerations include avian mortality risk along the Great Plains migratory corridor, soil conservation during construction, and noise compliance under Alberta's regulatory framework.
Environmental Impact Assessment · Google Earth Pro · Financial & PPA Analysis · Regulatory & Governance Review · Stakeholder Analysis · Technical Specifications Analysis
Where Forest Meets Farmland: Landcover Analysis in the Verkeån Basin
NGEA03: Remote Sensing for Landscape Studies
May 2025
Lund University
A consultancy-style pilot study assessed vegetation and land use dynamics in the Verkeån River Basin, eastern Skåne, a Natura 2000 nature reserve of significant ecological and cultural value. In a team of five, we produced detailed land cover maps for three time periods (1940, 1999, and 2016) by digitising and classifying historical aerial imagery, high-resolution orthophotos, and Sentinel-2A satellite data in ArcGIS Pro. We collaboratively developed a hierarchical classification system, drawing on national and European frameworks including CORINE Land Cover.
We conducted two field visits, one to collect training data and one for ground truthing, supporting an accuracy assessment that achieved 95.1% overall accuracy at the broadest classification level. The project also mapped ecological elements, including hedgerows, field margins, wetlands, and streams, which are key to biodiversity and habitat connectivity. A multi-period change detection analysis showed that 73% of the study area underwent land cover change over 76 years, driven mainly by the replacement of broad-leaved forest with coniferous plantations, agricultural conversion, and gradual loss of natural grasslands. A cost-benefit analysis compared three remote sensing methodologies, evaluating trade-offs between accuracy, fieldwork intensity, and scalability for potential regional application across Skåne.
Accuracy Assessment · ArcGIS Pro · Change Detection Analysis · Cost-Benefit Analysis · GPS Field Surveys · Läntmateriet Aerial Orthophotos · Sentinel-2A Satellite Imagery
Improving Access to Education in Sistan & Baluchestan, Iran
NGEA31: Geographic Information Systems
May 2025
Lund University
A GIS-based cost analysis examined road maintenance expenditure across Iran, focusing on Sistan and Baluchestan, the country's least literate and most educationally underserved province. The study estimated total road maintenance costs using a weighted-factor model that considered elevation, flood risk, land cover, population density, precipitation, slope, and infrastructure crossings.
Two targeted proposals were developed to optimise road investment for educational access: prioritising maintenance within 10 km of the province's nine universities along primary roads, and focusing on Chabahar, Nikshahr, and Khash, the cities with the lowest educational development and highest poverty rates. Findings aligned with SDGs 4, 8, and 9.
ArcGIS Pro · Cost Modelling · Provincial Infrastructure Assessment · SDG Framework Analysis · Spatial Analysis