About This Course
Environmental decision-making today is inseparable from spatial data. Whether mapping deforestation, modelling flood risk, assessing biodiversity loss, or tracking pollution plumes, geospatial tools have become the backbone of credible, evidence-based environmental assessments. Yet many environmental practitioners lack the technical fluency to exploit these tools effectively, relying instead on generalised desktop studies that miss critical spatial patterns and relationships.
The Geospatial Tools for Environmental Assessment Training course, offered by TrainingComplex, closes that gap. Designed specifically for environmental professionals, this 10-day programme provides a structured, progressive grounding in Geographic Information Systems (GIS), remote sensing, satellite imagery analysis, and spatial modelling — all applied directly to environmental assessment workflows. Participants work with leading platforms including QGIS, ArcGIS Pro, and Google Earth Engine, building practical competence through guided exercises and a capstone project.
The curriculum is anchored in the realities of environmental practice in Africa and emerging markets, incorporating datasets and case studies drawn from sectors such as mining, infrastructure development, watershed management, coastal ecology, and urban expansion. Participants will leave equipped not only to produce high-quality spatial outputs but to interpret and communicate them persuasively to decision-makers, regulators, and communities.
TrainingComplex has designed this programme for professionals who are already working in environmental roles and want to significantly raise the rigour and credibility of their assessments through geospatial methods. The course is instructor-led, workshop-intensive, and structured to ensure that every participant leaves with a portfolio of practical deliverables they can apply immediately in their organisations.
Who Should Attend
- Environmental Impact Assessment (EIA) practitioners and consultants
- Natural resource managers and conservation officers
- Land-use planners and spatial analysts in government agencies
- Environmental officers in mining, oil and gas, and infrastructure companies
- Researchers and academics working in environmental or ecological sciences
- NGO and development organisation staff managing environmental programmes
- Watershed and water resource management professionals
- Climate change adaptation and resilience planning officers
Learning Objectives
- Understand the fundamental principles of GIS and remote sensing as applied to environmental assessment
- Navigate and operate QGIS and ArcGIS Pro for environmental data management and analysis
- Acquire, process, and quality-check spatial datasets from satellite, aerial, and field sources
- Perform land-use and land-cover change detection using multi-temporal satellite imagery
- Conduct terrain and hydrological analyses to support environmental impact modelling
- Apply remote sensing techniques to assess vegetation health, deforestation, and habitat change
- Model environmental sensitivity and vulnerability using spatial overlay and suitability analysis
- Integrate geospatial data into Environmental Impact Assessment reports and biodiversity surveys
- Use Google Earth Engine for large-scale environmental monitoring and time-series analysis
- Design and produce professional-quality cartographic outputs and environmental maps
- Conduct spatial analysis of pollution dispersion, erosion risk, and flood hazard zones
- Develop a complete geospatial environmental assessment deliverable as a capstone project
- Communicate spatial findings effectively to technical and non-technical stakeholders
Course Modules
Module 1: Foundations of Geospatial Science for Environmental Professionals
- Core concepts: coordinate systems, projections, and spatial data types
- The role of GIS and remote sensing in modern environmental assessment
- Overview of key geospatial platforms: QGIS, ArcGIS Pro, and Google Earth Engine
- Ethical and legal considerations in spatial data use for environmental work
- Understanding spatial scale and resolution trade-offs in environmental decision-making
- Data provenance and metadata standards for reproducible environmental GIS workflows
Module 2: GIS Data Management and Environmental Geodatabases
- Structuring and managing vector and raster datasets for environmental projects
- Importing, exporting, and converting spatial data formats (Shapefile, GeoPackage, GeoTIFF)
- Building and maintaining environmental geodatabases in QGIS and ArcGIS Pro
- Data quality control: identifying and correcting spatial errors and attribute inconsistencies
- Designing attribute schemas and domain-controlled fields to enforce data consistency across project teams
- Versioning and archiving spatial datasets to support long-term environmental monitoring programmes
Module 3: Satellite Imagery Acquisition and Pre-Processing
- Sources of free and commercial satellite imagery: Sentinel-2, Landsat, and Planet
- Image downloading, band selection, and radiometric correction workflows
- Atmospheric correction techniques and their importance for environmental analysis
- Mosaicking, clipping, and preparing image composites for assessment areas
- Cloud masking strategies and selecting optimal acquisition dates for environmental monitoring objectives
- Understanding spatial, spectral, and temporal resolution trade-offs when selecting imagery for specific assessments
Module 4: Land-Use and Land-Cover Change Detection
- Supervised and unsupervised image classification methods in QGIS and ArcGIS
- Accuracy assessment of land-cover classifications using ground truth data
- Multi-temporal change detection: identifying deforestation, urban expansion, and wetland loss
- Interpreting and presenting LULC change results for EIA and planning reports
- Selecting and applying appropriate classification schemes (Anderson, FAO LCCS) to match regulatory reporting requirements
- Post-classification smoothing and filtering techniques to reduce salt-and-pepper noise in land-cover outputs
Module 5: Vegetation Health and Ecosystem Assessment Using Remote Sensing
- Spectral indices: NDVI, EVI, SAVI, and their environmental applications
- Mapping vegetation density, degradation, and seasonal variation
- Assessing habitat fragmentation and connectivity using patch-level spatial metrics
- Integrating vegetation assessment results into biodiversity impact evaluations
- Using LAI and canopy cover estimates derived from remote sensing to characterise ecosystem structure
- Identifying phenological shifts and stress responses in vegetation through multi-date index time series
Module 6: Terrain Analysis and Hydrological Modelling
- Digital Elevation Model (DEM) sources, quality assessment, and derivatives
- Slope, aspect, and curvature analysis for erosion and landslide risk assessment
- Watershed delineation and stream network extraction for hydrological impact studies
- Flood inundation modelling and riparian buffer zone mapping
- Filling sinks and resolving DEM artefacts to ensure hydrologically correct terrain surfaces
- Calculating flow accumulation and contributing area thresholds to support drainage infrastructure impact assessments
Module 7: Environmental Sensitivity and Suitability Modelling
- Weighted multi-criteria overlay analysis for environmental sensitivity mapping
- Identifying and spatially delineating sensitive receptors and ecological corridors
- Habitat suitability modelling using species distribution and land cover data
- Producing environmental constraint maps for project siting and routing decisions
- Calibrating and validating suitability models against independent ecological survey records
- Documenting weighting rationale and sensitivity testing results to support defensible regulatory submissions
Module 8: Spatial Analysis of Environmental Hazards and Pollution
- Mapping and modelling erosion risk using the RUSLE framework in GIS
- Spatial interpolation of air and water quality monitoring data (IDW, Kriging)
- Noise and pollution buffer zone analysis around industrial and infrastructure sites
- Integrating hazard maps into environmental management and mitigation planning
- Assessing cumulative hazard exposure by overlaying multiple stressor layers for receptor vulnerability analysis
- Evaluating interpolation uncertainty and communicating spatial confidence levels in monitoring data products
Module 9: Google Earth Engine for Large-Scale Environmental Monitoring
- Introduction to the Google Earth Engine environment, API, and JavaScript code editor
- Accessing and filtering large satellite image archives for environmental monitoring
- Time-series analysis of vegetation, water bodies, and land surface temperature
- Exporting results and integrating GEE outputs with desktop GIS platforms
- Building and sharing reusable GEE scripts and assets to support collaborative environmental monitoring programmes
- Applying cloud-based machine learning classifiers in GEE to map land cover across large or transboundary study areas
Module 10: GPS Field Data Collection and Integration
- Configuring GPS devices and mobile data collection apps (Survey123, ODK Collect)
- Designing field data collection schemas for environmental baseline surveys
- Geotagging field photographs and integrating field observations into GIS
- Quality-assuring field-collected spatial data before GIS analysis
- Applying differential correction and GNSS accuracy assessment techniques to meet survey-grade positional requirements
- Synchronising offline field data collection with centralised GIS databases in low-connectivity field environments
Module 11: Cartographic Design and Environmental Map Production
- Principles of effective map design: hierarchy, symbology, and colour for environmental maps
- Configuring map layouts, legends, scale bars, and north arrows in QGIS and ArcGIS Pro
- Producing thematic maps for EIA reports: baseline, impact, and monitoring maps
- Exporting high-resolution print-ready and web-ready map outputs
- Selecting colour palettes that are accessible to colour-vision-deficient readers while meeting environmental reporting conventions
- Applying consistent map series templates across multi-site or phased projects to ensure visual coherence in large EIA documentation sets
Module 12: Communicating Geospatial Findings in Environmental Reports
- Integrating maps, spatial statistics, and GIS outputs into EIA and monitoring reports
- Visualising environmental data with charts, dashboards, and infographics
- Presenting spatial findings to regulators, communities, and non-technical decision-makers
- Documenting GIS methodology to meet regulatory and peer-review standards
- Tailoring the level of technical detail in spatial narratives to match the intended audience, from technical annexes to executive summaries
- Citing spatial data sources, software versions, and analytical parameters in accordance with recognised environmental reporting guidelines
Module 13: Capstone Project: Integrated Geospatial Environmental Assessment
- Scoping and designing a geospatial environmental assessment for an assigned realistic scenario
- Collecting, processing, and analysing spatial datasets to address the assessment objectives
- Producing a full suite of cartographic deliverables and a written spatial analysis section
- Presenting the completed assessment to the group and receiving structured expert feedback
- Applying QA review procedures to all spatial datasets and outputs before final submission, mirroring professional project delivery standards
- Reflecting on methodological choices made during the project and identifying alternative approaches that could strengthen the assessment under different data or time constraints
Requirements & Prerequisites
Participants should have a working background in environmental science, natural resource management, ecology, or a related discipline. Basic computer literacy and familiarity with spreadsheets or data tables is expected. No prior GIS or remote sensing experience is required, though participants who have used mapping tools at an introductory level will find the early modules reinforce and formalise their existing knowledge.
Training Methodology
- Structured software walkthroughs using QGIS and ArcGIS Pro with guided step-by-step exercises on real environmental datasets
- Hands-on satellite imagery interpretation sessions using Google Earth Engine and Sentinel/Landsat archives
- Case study analysis of completed EIAs from mining, infrastructure, and land-use planning projects in Africa
- Peer-led map critique sessions where participants review and give structured feedback on each other's cartographic outputs
- Field data simulation exercises replicating GPS data collection, geotagging, and integration into GIS workflows
- Group spatial modelling workshops applying overlay analysis to environmental sensitivity and habitat suitability scenarios
- Daily reflection journals linking technical skills acquired to participants' own organisational assessment challenges
- Capstone project in which each participant develops a complete geospatial environmental assessment for a realistic scenario, presented on the final day
Organisational Benefits
- Elevated rigour and credibility of environmental impact assessments produced by the organisation
- Reduced reliance on external GIS consultants through in-house spatial analysis capability
- Improved compliance with environmental regulatory requirements that demand spatial evidence
- Stronger project proposals and bids supported by professional-quality geospatial documentation
- Faster identification of environmental risks and sensitive receptors during project scoping
- Enhanced monitoring and reporting of environmental indicators using satellite-based tools
- Better-informed land-use decisions backed by spatial vulnerability and suitability analysis
- A skilled team capable of integrating geospatial tools into standard environmental workflows
Where Is Geospatial Tools for Environmental Assessment Training Offered?
This course runs in-person across: Lagos, Nairobi, Kigali, Arusha, Kampala, Cape Town, Dubai, Nakuru, Mombasa, Riyadh, Abuja, Zanzibar, Naivasha, Johannesburg, Pretoria, Addis Ababa, Dar es Salaam, Accra, Kisumu, plus Live Virtual (online) cohorts. Browse live dates for your city below.
Upcoming Schedules
| Location | Format | Dates | Price |
|---|
| Live Virtual |
Online |
28 Sept 2026 – 9 Oct 2026 |
KES 160,000 |
| Lagos, Nigeria |
In-Person |
5 Oct 2026 – 16 Oct 2026 |
USD 5,000 |
| Nairobi, Kenya |
In-Person |
5 Oct 2026 – 16 Oct 2026 |
KES 230,000 |
| Kigali, Rwanda |
In-Person |
5 Oct 2026 – 16 Oct 2026 |
USD 3,800 |
| Arusha, Tanzania |
In-Person |
12 Oct 2026 – 23 Oct 2026 |
USD 4,200 |
| Kampala, Uganda |
In-Person |
12 Oct 2026 – 23 Oct 2026 |
USD 3,800 |
| Live Virtual |
Online |
17 Oct 2026 – 6 Dec 2026 |
KES 160,000 |
| Cape Town, South Africa |
In-Person |
19 Oct 2026 – 30 Oct 2026 |
USD 7,600 |
| Dubai, United Arab Emirates |
In-Person |
19 Oct 2026 – 28 Oct 2026 |
USD 8,200 |
| Nakuru, Kenya |
In-Person |
19 Oct 2026 – 28 Oct 2026 |
KES 240,000 |
| Mombasa, Kenya |
In-Person |
19 Oct 2026 – 28 Oct 2026 |
KES 240,000 |
| Riyadh, Saudi Arabia |
In-Person |
19 Oct 2026 – 28 Oct 2026 |
USD 9,000 |
| Abuja, Nigeria |
In-Person |
19 Oct 2026 – 28 Oct 2026 |
USD 5,600 |
| Zanzibar, Tanzania |
In-Person |
19 Oct 2026 – 28 Oct 2026 |
USD 5,000 |
| Naivasha, Kenya |
In-Person |
19 Oct 2026 – 30 Oct 2026 |
KES 230,000 |
+236 more dates — view live schedule →
Frequently Asked Questions
Do I need prior GIS experience to attend this course?
No prior GIS experience is required. The programme begins with foundational concepts and progressively builds to advanced analytical techniques. Participants with some introductory mapping experience will simply move through the early modules more quickly.
Which software platforms will we use during the training?
The course centres on QGIS and ArcGIS Pro for desktop GIS work, and Google Earth Engine for cloud-based large-scale analysis. QGIS is free and open-source, and participants will be guided on installation before the course begins. ArcGIS Pro access is arranged for the training duration.
Will I receive a certificate upon completion?
Yes. Participants who attend the full programme and complete the capstone project presentation will receive a Certificate of Completion from TrainingComplex, confirming their proficiency in geospatial tools for environmental assessment.
What kind of datasets will we work with during the course?
Participants will work with real-world spatial datasets including Sentinel-2 and Landsat satellite imagery, publicly available DEMs, environmental monitoring data, and simulated field GPS data — all drawn from environmental contexts relevant to Africa and the broader developing world.
Is this course available online or only in person?
The course is primarily delivered in-person at TrainingComplex's scheduled locations across Africa and the Middle East, as the hands-on GIS lab work benefits significantly from in-person facilitation. A Live Virtual option is also scheduled for participants who cannot travel, delivered over the same 10-day period with equivalent practical exercises.
