GIS and Remote Sensing Techniques in Geosciences

12 units

Please select a city/session before registration.

About this program

Remote sensing and Geographic Information Systems (GIS) serve as essential instruments in the geosciences, facilitating the gathering, analysis, and visualization of spatial and environmental datasets. These technologies are instrumental in mineral exploration, managing natural resources, environmental monitoring, and assessing hazards.
This training program addresses the fundamentals of remote sensing, GIS applications, spatial data collection, image processing, and geospatial analysis methodologies. Attendees will develop practical expertise in handling satellite imagery, GIS platforms, and geospatial modeling to support decision-making within geoscience projects.
Offered by EuroQuest International Training, the course blends conceptual knowledge with practical exercises and real-world case studies, ensuring participants are equipped to effectively leverage geospatial tools in geoscientific research.

Key outcomes

  • Comprehend the fundamental concepts of remote sensing and GIS
  • Acquire, process, and analyze satellite and aerial imagery
  • Utilize GIS methods for spatial data analysis and visualization
  • Combine geospatial data with geological, environmental, and resource information
  • Perform land use, mineral, and environmental mapping
  • Execute geospatial modeling and predictive analytics
  • Evaluate natural resources and environmental hazards
  • Create maps, dashboards, and comprehensive reports for stakeholders
  • Apply GIS for planning and decision-making processes in geosciences
  • Adopt sustainable and precise geospatial practices
  • Effectively communicate geospatial findings
  • Establish systems for continuous geospatial monitoring and analysis

Who should attend

  • Professionals in geosciences and environmental sciences
  • Experts in mineral and hydrocarbon exploration
  • GIS professionals and spatial data analysts
  • Managers of natural resources and environmental programs
  • Students and practitioners in geoscience and environmental disciplines

Course outline

1

Unit 1: Fundamentals of Remote Sensing and Geographic Information Systems

  • Basic principles of remote sensing and geospatial science
  • Introduction to GIS uses in geoscience fields
  • Sources of data and spatial datasets
  • Illustrative examples of geospatial project applications
2

Unit 2: Satellite Imagery and Aerial Photography

  • Various satellite sensors and their platforms
  • Use of aerial photography and UAV technologies
  • Understanding spectral, spatial, and temporal resolutions
  • Practical sessions on interpreting imagery
3

Unit 3: Techniques in Image Processing

  • Radiometric and geometric correction during preprocessing
  • Methods for image enhancement and classification
  • Techniques for detecting changes over time
  • Interactive workshop on image processing
4

Unit 4: Basics of GIS and Spatial Data Management

  • Different GIS data types and file formats
  • Creating databases and managing spatial data
  • Understanding coordinate systems and map projections
  • Hands-on GIS practical exercises
5

Unit 5: Techniques in Spatial Analysis and Cartography

  • Spatial operations such as overlay, buffering, and querying
  • Analyzing terrain and topographic features
  • Creating thematic and resource distribution maps
  • Case study reviews focusing on spatial analysis
6

Unit 6: Applications in Geosciences

  • Mapping for mineral and hydrocarbon exploration
  • Hydrogeological assessments and groundwater mapping
  • Integration of geological and soil data analyses
  • Practical exercises in geoscience mapping
7

Unit 7: Environmental and Ecosystem-Focused GIS Applications

  • Analysis of land use and land cover changes
  • Assessing environmental impacts
  • Monitoring of vegetation, water, and soil resources
  • Environmental GIS case studies
8

Unit 8: Utilizing Remote Sensing for Hazard and Risk Evaluation

  • Detection and monitoring of natural hazards
  • Assessing disaster risks through remote sensing
  • Incorporating early warning system data
  • Practical sessions on hazard mapping
9

Unit 9: Geospatial Prediction and Modeling

  • Techniques for spatial interpolation and modeling
  • Predictive mapping applied to resource estimation
  • Scenario-based analysis and visualization methods
  • Hands-on modeling workshop
10

Unit 10: Combining GIS with Geoscientific Data

  • Integration of geological, geophysical, and environmental datasets
  • Multi-layered GIS analyses
  • Decision support system frameworks
  • Practical exercises on data integration
11

Unit 11: Geospatial Visualization and Reporting

  • Producing maps and principles of cartographic design
  • Developing dashboards and interactive spatial tools
  • Effective communication of results to stakeholders
  • Reporting case studies
12

Unit 12: Comprehensive Geospatial Project

  • Simulated group geospatial analysis project
  • Mapping of resources, hazards, or environmental impacts
  • Delivering presentations of findings and recommendations
  • Formulating an action plan for practical implementation