Freshwater Remote Sensing
Satellite monitoring of lake temperature, turbidity, water quality, and seasonal change.
Geomatics Scientist · Remote Sensing Researcher · Educator
I am Dr. Gifty Attiah, a geomatics scientist whose work combines earth observations, GeoAI, environmental modelling, machine learning, field data, cloud and high-performance computing to understand changing landscapes and ecosystems.
Satellite monitoring of lake temperature, turbidity, water quality, and seasonal change.
Spatial modelling of ice thickness, freeze-up, break-up, and long-term climate responses.
Machine learning, sensor fusion, cloud computing, and scalable environmental workflows.
Reproducible datasets and tools for researchers, agencies, and northern decision-making.
About
I am a Postdoctoral Fellow and Contract Teaching Faculty member in the Department of Geography and Environmental Studies at Wilfrid Laurier University. I also serve as Administrator of the Cold Regions Research Centre.
My research develops long-term environmental datasets and scalable geospatial workflows for changing landscapes and landuse. I work across lake surface temperature, ice thickness and phenology, turbidity, water quality, climate trends, and landscape change.
My background spans academia, environmental consulting, conservation GIS, agricultural field mapping, software development, and university teaching in Canada, Germany, and Ghana.
Selected research
Each project combines environmental questions, rigorous geospatial methods, and reusable research outputs.
Remote sensing · Machine learning · Water quality
A multi-sensor research program designed to create a long-term, spatially continuous record of turbidity across Great Slave Lake.
Understanding how river inflows, lake circulation, temperature, and seasonal conditions shape turbidity patterns and long-term change.
Harmonized MODIS and VIIRS observations, in-situ measurements, dual-threshold random forests, pixel-wise trend analysis, and spatial clustering.
A daily 2002–2025 turbidity dataset, mapped water-quality regimes, and a reproducible workflow for large northern lakes.
Lake ice · Climate change · Spatial modelling
A spatially distributed modelling framework for examining how lake ice conditions have changed across hundreds of sub-Arctic lakes.
Assessing how lake size, depth, location, and climate influence ice thickness, freeze-up, break-up, and ice-cover duration.
Landsat-derived lake surface temperature, ERA5 climate forcing, thermodynamic modelling, validation, and multi-decadal spatial trend analysis.
Daily lake ice estimates for 535 lakes from 1984–2022 and evidence of widespread thinning and shorter ice seasons.
Earth observation · Climate records · Open data
A lake-specific satellite archive developed to reveal long-term thermal patterns across northern lakes that are poorly represented by ground monitoring networks.
Examining how open-water, ice-covered, transition-season, and annual lake temperatures have changed over four decades.
Landsat thermal observations, lake-specific masking, seasonal compositing, MODIS validation, and time-series trend analysis.
An open 1984–2021 dataset supporting climate research, lake-ice modelling, and regional freshwater monitoring.
Classification · Remote sensing · Machine learning
Applied machine-learning research for mapping surface mining, land cover, vegetation, and environmental disturbance from multispectral satellite data.
Determining which combinations of spectral bands, indices, and classifiers best distinguish complex environmental land-cover classes.
Sentinel-2 and Landsat imagery, spectral-index engineering, SVM and random forest models, accuracy assessment, and change detection.
Transferable workflows for automated classification, landscape monitoring, and environmental decision support.
Research outputs
Peer-reviewed articles, preprints, and reusable environmental datasets.
Attiah, G., Scott, K. A., Yerubandi, R., & Kheyrollah Pour, H. · Preprint
Water Resources Research, 61, e2025WR040216
Journal of Climate, 38(19), 5241–5263 · Co-author
Journal of Hydrology: Regional Studies, 50, 101571
Earth System Science Data, 15, 1329–1355
Experience
Wilfrid Laurier University
Lake water quality, remote sensing, machine learning, geospatial dataset development, and student supervision.Wilfrid Laurier University
GIS, computer applications in geography, climate change, and applied geospatial instruction.Remote Sensing of Environmental Change Lab
Lake ice pressure ridges, large-lake temperature, and distributed thermodynamic lake ice modelling.University of Osnabrück
Satellite image processing software, RPAS fieldwork, vegetation monitoring, and agricultural remote sensing.Stiftung Naturschutz Schleswig-Holstein
Environmental GIS, Python ArcToolboxes, workflow automation, interactive maps, and spatial reporting.University of Ghana, CERGIS, and Friends of the Earth Ghana
Teaching support, sustainable agriculture mapping, environmental data analysis, and reporting.Technical expertise
Landsat, MODIS, VIIRS, Sentinel-1, Sentinel-2, RADARSAT, SAR, thermal remote sensing, image classification, change detection, and satellite validation.
ArcGIS Pro, ArcPy, QGIS, GRASS GIS, FME, PostgreSQL, GeoServer, AutoCAD Map, spatial databases, map design, and geovisualization.
Python, R, GDAL, machine learning, random forests, SVM, clustering, PCA, trend analysis, spatially distributed modelling, GUI and Python module development.
Google Earth Engine, Linux, Bash, Git, Visual Studio Code, MobaXterm, WinSCP, cloud workflows, automation, and high-performance computing.
Teaching and mentorship
University Teaching Certificate and University Teaching Foundations Certificate.
Course instructor and lab instructor at Wilfrid Laurier University, covering GIS concepts, spatial analysis, practical labs, and applied problem-solving.
Course instructor for data display, cartography, raster analysis, geospatial computing, and reproducible workflows.
Course instructor in Climate Change, Weather and Climate, Natural Disasters, environmental impacts of mining, and future Canadian challenges.
Guest lecturer and laboratory instructor in satellite image interpretation, spectral analysis, classification, and Earth observation applications.
Mentorship of graduate students, undergraduate research assistants, and NSERC USRA researchers in remote sensing, environmental modelling, and scientific communication.
Funding and recognition
Co-applicant: Arctic ice-road infrastructure and knowledge integration, 2025–2027.
Applicant: Field-calibrated sensing framework for climate impacts on northern lake water quality, 2026–2027.
Fellowship supporting northern and polar research.
Recognition of outstanding graduate research contributions.
Leadership and knowledge mobilization
Coordinates operations, events, meetings, communications, and research-centre activities.
Canadian Science Policy Conference programming and Cold Regions Research Centre programs.
Reviewer for The Cryosphere, Remote Sensing, and Journal of Hydrology: Regional Studies.
Observation of temperature and turbidity on Great Bear and Great Slave Lake at the Climate Change Workshop in Yellowknife.
Session chair, poster judge, conference host, early-career executive, seminar organizer, and contributor to podcasts and research videos.
Contact
I welcome opportunities in remote sensing, GIS, environmental data science, freshwater research, GeoAI, university teaching, research leadership, and collaborative northern science.