Geomatics Scientist · Remote Sensing Researcher · Educator

Harnessing Earth observation and GeoAI to advance environmental and human resilience.

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.

12+years of geomatics research and application
10+publications and archived datasets
20+conference presentations
$220K+awarded research grants
01

Freshwater Remote Sensing

Satellite monitoring of lake temperature, turbidity, water quality, and seasonal change.

02

Lake Ice and Climate

Spatial modelling of ice thickness, freeze-up, break-up, and long-term climate responses.

03

GeoAI and Modelling

Machine learning, sensor fusion, cloud computing, and scalable environmental workflows.

04

Open Environmental Data

Reproducible datasets and tools for researchers, agencies, and northern decision-making.

About

Research at the intersection of Earth observation, freshwater science, and environmental decision-making.

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

Research programs and technical contributions

Each project combines environmental questions, rigorous geospatial methods, and reusable research outputs.

Great Slave Lake

Turbidity and water-quality dynamics

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.

Research focus

Understanding how river inflows, lake circulation, temperature, and seasonal conditions shape turbidity patterns and long-term change.

Approach

Harmonized MODIS and VIIRS observations, in-situ measurements, dual-threshold random forests, pixel-wise trend analysis, and spatial clustering.

Contribution

A daily 2002–2025 turbidity dataset, mapped water-quality regimes, and a reproducible workflow for large northern lakes.

MODISVIIRSRandom ForestGoogle Earth EnginePython
North Slave Region

Lake ice thickness and phenology

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.

Research focus

Assessing how lake size, depth, location, and climate influence ice thickness, freeze-up, break-up, and ice-cover duration.

Approach

Landsat-derived lake surface temperature, ERA5 climate forcing, thermodynamic modelling, validation, and multi-decadal spatial trend analysis.

Contribution

Daily lake ice estimates for 535 lakes from 1984–2022 and evidence of widespread thinning and shorter ice seasons.

LandsatERA5Thermodynamic ModellingTrend AnalysisHPC
Northern Lake Temperature

Four decades of thermal change

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.

Research focus

Examining how open-water, ice-covered, transition-season, and annual lake temperatures have changed over four decades.

Approach

Landsat thermal observations, lake-specific masking, seasonal compositing, MODIS validation, and time-series trend analysis.

Contribution

An open 1984–2021 dataset supporting climate research, lake-ice modelling, and regional freshwater monitoring.

Thermal Remote SensingLandsat ArchiveValidationTime SeriesOpen Science
GeoAI and Land Change

Machine learning for environmental mapping

Classification · Remote sensing · Machine learning

Applied machine-learning research for mapping surface mining, land cover, vegetation, and environmental disturbance from multispectral satellite data.

Research focus

Determining which combinations of spectral bands, indices, and classifiers best distinguish complex environmental land-cover classes.

Approach

Sentinel-2 and Landsat imagery, spectral-index engineering, SVM and random forest models, accuracy assessment, and change detection.

Contribution

Transferable workflows for automated classification, landscape monitoring, and environmental decision support.

Sentinel-2SVMRandom ForestScikit-learnChange Detection

Experience

Academic, technical, and environmental practice

2024–Present

Postdoctoral Fellow

Wilfrid Laurier University

Lake water quality, remote sensing, machine learning, geospatial dataset development, and student supervision.
2023–Present

Contract Teaching Faculty

Wilfrid Laurier University

GIS, computer applications in geography, climate change, and applied geospatial instruction.
2021–2024

Research Assistant

Remote Sensing of Environmental Change Lab

Lake ice pressure ridges, large-lake temperature, and distributed thermodynamic lake ice modelling.
2020

Research Fellow

University of Osnabrück

Satellite image processing software, RPAS fieldwork, vegetation monitoring, and agricultural remote sensing.
2018–2020

GIS Analyst

Stiftung Naturschutz Schleswig-Holstein

Environmental GIS, Python ArcToolboxes, workflow automation, interactive maps, and spatial reporting.
2014–2016

Research, Teaching, and Field Roles

University of Ghana, CERGIS, and Friends of the Earth Ghana

Teaching support, sustainable agriculture mapping, environmental data analysis, and reporting.

Technical expertise

Tools, methods, and platforms

Earth observation

Landsat, MODIS, VIIRS, Sentinel-1, Sentinel-2, RADARSAT, SAR, thermal remote sensing, image classification, change detection, and satellite validation.

GIS and geospatial systems

ArcGIS Pro, ArcPy, QGIS, GRASS GIS, FME, PostgreSQL, GeoServer, AutoCAD Map, spatial databases, map design, and geovisualization.

Programming and modelling

Python, R, GDAL, machine learning, random forests, SVM, clustering, PCA, trend analysis, spatially distributed modelling, GUI and Python module development.

Computing and reproducibility

Google Earth Engine, Linux, Bash, Git, Visual Studio Code, MobaXterm, WinSCP, cloud workflows, automation, and high-performance computing.

Teaching and mentorship

Building practical geospatial skills and supporting emerging researchers.

University Teaching Certificate and University Teaching Foundations Certificate.

Geographical Information Systems

Course instructor and lab instructor at Wilfrid Laurier University, covering GIS concepts, spatial analysis, practical labs, and applied problem-solving.

Computer Applications in Geography

Course instructor for data display, cartography, raster analysis, geospatial computing, and reproducible workflows.

Climate, Weather, and Natural Hazards

Course instructor in Climate Change, Weather and Climate, Natural Disasters, environmental impacts of mining, and future Canadian challenges.

Remote Sensing

Guest lecturer and laboratory instructor in satellite image interpretation, spectral analysis, classification, and Earth observation applications.

Student supervision

Mentorship of graduate students, undergraduate research assistants, and NSERC USRA researchers in remote sensing, environmental modelling, and scientific communication.

Funding and recognition

Competitive funding, awards, and professional recognition

$177,590

Polar Knowledge Canada

Co-applicant: Arctic ice-road infrastructure and knowledge integration, 2025–2027.

$50,000

Polar Knowledge Canada

Applicant: Field-calibrated sensing framework for climate impacts on northern lake water quality, 2026–2027.

2026

Polar Knowledge Canada Fellowship

Fellowship supporting northern and polar research.

2025

Laurier Graduate Outstanding Work Award

Recognition of outstanding graduate research contributions.

Leadership and knowledge mobilization

Research service beyond the laboratory

Current

Administrator, Cold Regions Research Centre

Coordinates operations, events, meetings, communications, and research-centre activities.

Current

Conference and Programs Committees

Canadian Science Policy Conference programming and Cold Regions Research Centre programs.

2024–Present

Peer reviewer

Reviewer for The Cryosphere, Remote Sensing, and Journal of Hydrology: Regional Studies.

2026

Invited talk, Canada Water Agency

Observation of temperature and turbidity on Great Bear and Great Slave Lake at the Climate Change Workshop in Yellowknife.

Ongoing

Conference leadership and science communication

Session chair, poster judge, conference host, early-career executive, seminar organizer, and contributor to podcasts and research videos.

Contact

Let’s connect.

I welcome opportunities in remote sensing, GIS, environmental data science, freshwater research, GeoAI, university teaching, research leadership, and collaborative northern science.