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About This Course
The GIS, Remote Sensing & Geospatial Analytics Using ArcGIS and QGIS Training Course is a premium, competency-based programme designed to equip professionals with advanced expertise in Geographic Information Systems (GIS), remote sensing, geospatial analytics, spatial data science, Earth observation, satellite imagery, drone mapping, geostatistics, and spatial decision support systems. Participants develop practical competencies in ArcGIS Pro, QGIS, GPS, GNSS, Google Earth Engine, spatial databases, spatial modelling, digital mapping, geovisualization, artificial intelligence (AI), machine learning, cloud GIS, and geospatial data analytics. Through hands-on laboratories, real-world projects, satellite image interpretation, spatial analysis, and executive capstone projects, participants gain the capability to transform spatial data into actionable intelligence for agriculture, food systems, environmental management, climate change adaptation, public health, disaster risk reduction, urban planning, infrastructure development, natural resource management, and evidence-based policy and decision-making.
What You’ll Learn
- Develop advanced competencies in GIS, remote sensing, and geospatial analytics using ArcGIS Pro, QGIS, satellite imagery, GPS, and modern spatial technologies.
- Apply spatial analysis, geostatistics, Earth observation, and spatial modelling techniques to solve complex environmental, agricultural, public health, infrastructure, and development challenges.
- Integrate artificial intelligence (AI), machine learning, cloud GIS, drone technologies, and Google Earth Engine into geospatial workflows for predictive analytics and intelligent decision-making.
- Design interactive maps, geospatial dashboards, and spatial decision support systems that communicate complex spatial information to technical and non-technical stakeholders.
- Lead digital geospatial transformation initiatives that support evidence-based planning, sustainable resource management, climate resilience, disaster preparedness, and smart territorial development.
Course Curriculum
- Principles of Geographic Information Systems (GIS)
- Remote Sensing, Earth Observation and Spatial Intelligence
- Coordinate Reference Systems, Map Projections and Geodesy
- Spatial Data Models and GIS Architecture
- Geospatial Applications Across Agriculture, Environment, Health and Development
- Introduction to ArcGIS Pro and QGIS
- GIS Interface, Data Management and Project Organization
- Vector Mapping, Editing and Geodatabase Development
- Cartographic Design and Professional Map Production
- Interactive Web Mapping and GIS Publishing
- GPS, GNSS and Mobile Data Collection
- Drone (UAV) Mapping and Photogrammetry
- Field Data Collection and Quality Assurance
- Mobile GIS Applications and Digital Surveying
- Integrating Field and Remote Sensing Data
- Fundamentals of Satellite Remote Sensing
- Image Acquisition and Sensor Technologies
- Image Enhancement and Classification
- Vegetation Indices (NDVI, EVI) and Environmental Monitoring
- Change Detection and Land Cover Mapping
- Spatial Query and Overlay Analysis
- Buffering, Network Analysis and Terrain Modelling
- Geostatistics and Spatial Interpolation
- Spatial Autocorrelation and Hotspot Analysis
- Multi-Criteria Spatial Decision Analysis (MCDA)
- Google Earth Engine for Earth Observation
- Cloud GIS Platforms and Spatial Computing
- Big Geospatial Data Analytics
- Real-Time Spatial Monitoring Systems
- Cloud-Based Collaboration and Data Sharing
- Artificial Intelligence in GIS
- Machine Learning for Land Use and Environmental Classification
- Predictive Spatial Analytics
- Geospatial Data Science Using Python and R
- Explainable AI and Intelligent Spatial Decision Support
- Precision Agriculture and Smart Farming
- Climate Change Adaptation and Environmental Monitoring
- Public Health, Epidemiology and Disease Mapping
- Disaster Risk Reduction and Humanitarian GIS
- Urban Planning, Infrastructure and Smart Cities
- Interactive Geospatial Dashboards
- Spatial Storytelling and Data Visualization
- Executive GIS Reporting and Decision Intelligence
- Spatial Performance Indicators and Monitoring Systems
- Communicating Geospatial Evidence to Decision Makers
- Land Use Planning and Natural Resource Management
- Spatial Planning for Food Systems and Agriculture
- Environmental Impact Assessment Using GIS
- Sustainable Development Goals (SDGs) and Spatial Monitoring
- Policy Analysis and Spatial Decision Support
- Digital Twins and Smart Territories
- Internet of Things (IoT) and Real-Time Spatial Monitoring
- 3D GIS, LiDAR and Advanced Terrain Analytics
- Future Trends in Geospatial Artificial Intelligence
- Building Future-Ready Geospatial Systems
- Designing a Complete GIS and Remote Sensing Project
- Developing an Integrated Spatial Database and Decision Support System
- Building Interactive Maps, Dashboards and Geospatial Intelligence Platforms
- Conducting Advanced Spatial Analysis and Predictive Modelling
- Executive Capstone Presentation: Geospatial Analytics for Sustainable Development, Climate Resilience and Evidence-Based Decision-Making
Who Should Attend
- GIS analysts, surveyors, cartographers, and geospatial professionals working with spatial data and mapping systems.
- Agriculture, food systems, environmental, forestry, climate, and natural resource professionals using geospatial technologies for sustainable development.
- Public health, epidemiology, disaster risk management, water resources, and humanitarian professionals applying GIS for planning and surveillance.
- Urban planners, engineers, infrastructure specialists, and government agencies involved in spatial planning and land management.
- Researchers, academics, postgraduate students, NGOs, and international development practitioners conducting geospatial research and evidence-based planning.
Prerequisites
- The programme is suitable for both beginners and experienced professionals seeking to strengthen competencies in GIS, remote sensing, spatial analysis, ArcGIS, QGIS, Earth observation, and geospatial data science.
Key Benefits
- Master ArcGIS Pro, QGIS, remote sensing, spatial analysis, and geospatial analytics using internationally recognized software and industry best practices.
- Develop expertise in satellite imagery, drone mapping, Earth observation, geostatistics, spatial modelling, and geospatial data visualization for multidisciplinary applications.
- Apply artificial intelligence (AI), machine learning, Google Earth Engine, cloud GIS, and spatial data science to improve predictive analysis and decision support.
- Design interactive geospatial dashboards, digital maps, and spatial intelligence platforms that enhance planning, monitoring, and policy implementation.
- Strengthen professional capacity in climate resilience, agriculture, food systems, environmental management, disaster preparedness, urban planning, and sustainable development through modern geospatial technologies.
Delivery Technique
- Expert-led GIS and remote sensing masterclasses integrating theory with practical geospatial applications.
- Hands-on laboratories using ArcGIS Pro, QGIS, Google Earth Engine, GPS, and cloud-based geospatial platforms.
- Interactive case studies covering agriculture, climate change, environmental management, disaster risk, and public health.
- Collaborative geospatial mapping, spatial modelling, and analytics projects using real-world datasets.
- Executive capstone project focused on developing a complete GIS-based decision support solution.