GIS Data Collection, Management, Analysis, Visualisation, and Geospatial Intelligence Training Course
Introduction
The GIS Data Collection, Management, Analysis, Visualisation, and Geospatial Intelligence Training Course is a comprehensive 10-day program designed to equip professionals with hands-on expertise in the full spectrum of geospatial technology applications. With the global demand for location intelligence increasing across sectors, the ability to acquire, manage, analyse, and visualise geospatial data has become a strategic asset.
This intensive training blends theoretical concepts with real-world applications using powerful tools such as ArcGIS Pro, QGIS, Google Earth Engine, KoboToolbox, and UAV-based remote sensing. Participants will learn how to translate raw spatial data into actionable intelligence to support development planning, disaster management, resource tracking, and policy decision-making.
Target Audience
- Urban and regional planners
- Environmental and natural resource managers
- Public health and disaster response professionals
- Agriculture and food security specialists
- Security, defense, and intelligence analysts
- Researchers, data scientists, and statisticians
- Development and humanitarian programme officers
Duration
10 Days
Course Objectives
- Understand core GIS and geospatial intelligence concepts
- Conduct high-quality field data collection using modern tools
- Design and manage spatial databases for large datasets
- Perform advanced spatial and statistical analysis
- Work with satellite imagery for environmental and land-use insights
- Visualise data with dashboards, story maps, and interactive tools
- Automate GIS workflows using Python and ModelBuilder
- Apply geospatial intelligence for evidence-based decision-making
- Integrate GIS with mobile, drone, and cloud-based technologies
- Ensure data quality, security, and ethical use of geospatial information
- Design geo-enabled monitoring frameworks for development programs
- Develop custom spatial reports and communicate findings effectively
Course Content
Module 1: Introduction to GIS and Geospatial Intelligence
- Types and formats of spatial data
- Key GIS concepts: layers, projections, scale
- Overview of geospatial intelligence (GEOINT) applications
- Common GIS software platforms: ArcGIS, QGIS, GEE
- Spatial thinking for policy and planning
Module 2: GPS and Mobile-Based Field Data Collection
- Introduction to GPS accuracy and devices
- Using KoboToolbox, ODK, and Survey123
- Creating and deploying digital survey forms
- Offline data collection and synchronization
- Linking field data to GIS platforms
Module 3: UAVs and Drone Data for GIS
- Types of drones and sensors used in mapping
- Flight planning and drone safety protocols
- Drone image acquisition and geotagging
- Orthomosaic generation and integration
- Regulatory and ethical considerations
Module 4: Spatial Database Development and Management
- Concepts of geodatabases and schema design
- Storing and indexing spatial attributes
- Establishing relationships and topology rules
- Data validation and quality control methods
- Enterprise data sharing and version control
Module 5: Raster and Vector Data Processing
- Working with shapefiles, feature classes, and raster layers
- Coordinate transformations and projections
- Data extraction, clipping, and merging techniques
- Handling spatial joins and table relationships
- Cleaning and reformatting raw geospatial data
Module 6: Remote Sensing and Satellite Image Analysis
- Accessing free satellite imagery (Sentinel, Landsat)
- Image classification: supervised vs. unsupervised
- NDVI, land cover, and vegetation analysis
- Change detection and time-series analysis
- Integrating remote sensing with GIS
Module 7: Spatial Analysis and Geostatistics
- Buffer, overlay, and intersection operations
- Hotspot and cluster analysis techniques
- Surface modeling and terrain analysis
- Distance and proximity calculations
- Predictive modeling and interpolation
Module 8: Geovisualisation and Mapping Techniques
- Thematic and choropleth map design
- Styling layers and symbols for clarity
- Creating multi-scale and interactive maps
- Embedding graphs and charts in maps
- Designing user-centered map layouts
Module 9: Dashboards and Story Maps
- Building ArcGIS Dashboards
- Creating Story Maps for spatial storytelling
- Configuring real-time data feeds
- Designing user-friendly interactive visuals
- Sharing and publishing GIS applications online
Module 10: Automating GIS Workflows and Scripting
- Using ModelBuilder for batch processing
- Introduction to Python scripting in ArcGIS/QGIS
- Automating map production and analysis tasks
- Scheduling geospatial processes
- Creating reusable geoprocessing tools
Module 11: Geospatial Intelligence for Strategic Planning
- Spatial decision support systems (SDSS)
- Scenario-based spatial simulations
- Conflict mapping and risk assessment
- Intelligence-driven planning for development and security
- Ethics and privacy in geospatial data use
Module 12: Reporting, Communication, and Capstone Project
- Designing spatial reports and geo-infographics
- Integrating maps with dashboards and documents
- Presenting findings to decision-makers
- Capstone: team project on real-world spatial challenge
- Final review, feedback, and certification