Remote Sensing and GIS in Geosciences Training Course

Course overview

Satellites and geographic information systems have quietly become the backbone of modern geoscience, turning raw imagery into maps that guide where to drill, what to protect, and which hazards to watch. This course walks through the full path from acquiring an image to producing a decision-ready map, keeping the geoscientific question in view at every step.

It is designed for geoscientists and technical staff who want to work with spatial data confidently instead of treating it as a black box. The material joins the physics of sensors to the logic of spatial analysis, so participants understand not just which button to reach for but why a result means what it claims to mean.

Where geospatial data fits in geoscience decisions

Open archives from missions like Landsat and Sentinel, together with affordable UAV surveys, have put continuous earth observation within reach of almost any project. That abundance shifts the challenge from getting data to processing and interpreting it well, and teams that can correct, classify and analyze imagery cleanly hold a real advantage in resource mapping and monitoring.

Spatial thinking now runs through exploration, environmental work and hazard response alike, and it connects closely to field methods covered in our course on advancements in geological mapping and surveying. Understanding how remote sensing and GIS reinforce that mapping is increasingly expected of geoscience professionals.

What you will be able to do afterwards

By the end of the course, participants should be able to:

• Choose sensors and platforms suited to a given geoscientific question.
• Apply radiometric and geometric correction to prepare imagery for use.
• Run image classification and change detection to track surface conditions.
• Manage spatial data across coordinate systems and map projections.
• Perform spatial overlay, buffering and interpolation to analyze patterns.
• Derive terrain information from digital elevation models.
• Produce clear maps and geospatial dashboards that communicate results.

Course outline

Unit 1: Introduction to remote sensing and GIS

This unit sets the concepts and vocabulary the course relies on.

• How remote sensing and GIS complement each other in geoscience.
• The electromagnetic spectrum and what different bands reveal.
• Raster and vector data models and when each suits a task.
• Typical workflows from acquisition through to a finished map.

Unit 2: Satellite and aerial imagery

Here participants meet the sensors and platforms that supply the data.

• Optical, multispectral, hyperspectral and SAR sensors and their strengths.
• Landsat, Sentinel and UAV platforms and their typical uses.
• Spatial, spectral and temporal resolution trade-offs.
• Matching an imagery source to a project's needs.

Unit 3: Image processing techniques

Raw imagery must be cleaned and enhanced before it can be trusted.

• Radiometric and geometric correction of raw scenes.
• Enhancement and band combinations that reveal features.
• Mosaicking and preparing imagery for analysis.
• Quality checks that catch artefacts early.

Unit 4: GIS fundamentals and data management

Sound analysis rests on well-organized, correctly referenced data.

• Coordinate systems and map projections and why they matter.
• Structuring layers, attributes and metadata.
• Joining field, survey and remote data in one framework.
• Maintaining data quality across a project.

Unit 5: Spatial analysis and mapping

This unit puts the data to work answering spatial questions.

• Spatial overlay and buffering to combine and query layers.
• Interpolation methods including kriging and IDW.
• Proximity, density and suitability analysis.
• Turning analysis into a readable map product.

Unit 6: Geoscientific applications

Here the tools connect directly to earth science problems.

• Hydrogeology and resource mapping from spatial data.
• Mapping lithology, structure and alteration.
• Supporting exploration targeting with integrated layers.
• Linking imagery interpretation to ground observations.

Unit 7: Environmental and ecosystem applications

Remote sensing is a powerful lens on environmental change.

• Tracking vegetation, water and land cover over time.
• Change detection for degradation and recovery.
• Monitoring protected areas and sensitive habitats.
• Supporting environmental reporting with spatial evidence.

Unit 8: Remote sensing for hazard and risk assessment

Timely imagery helps anticipate and respond to hazards.

• Natural-hazard detection and monitoring from orbit and air.
• Mapping flood, landslide and fire extent.
• Before-and-after imagery for impact assessment.
• Feeding results into risk and response planning.

Unit 9: Geospatial modeling and prediction

This unit moves from describing patterns to forecasting them.

• Digital elevation models and terrain analysis for slope and flow.
• Building predictive surfaces from sample data.
• Combining layers into weighted suitability models.
• Testing model outputs against known ground truth.

Unit 10: Integration of GIS and geoscience data

The value grows when many sources are brought together well.

• Fusing imagery, field and geophysical datasets.
• Resolving scale and reference mismatches between sources.
• Maintaining traceability from raw data to result.
• Designing an integrated project database.

Unit 11: Visualization and reporting

A result only lands when it is presented clearly.

• Cartographic design principles for effective maps.
• Building geospatial dashboards for ongoing monitoring.
• Choosing symbology and color for honest communication.
• Structuring a spatial report for decision-makers.

Unit 12: Capstone geospatial case study

The closing unit runs a full documented case from image to decision.

• Working an interpreted dataset through the entire workflow.
• Justifying processing and analysis choices along the way.
• Producing a map and short brief for a stated question.
• Presenting and defending the conclusion to the group.

How the course is delivered

The course is led by an experienced geospatial practitioner and built on discussion, worked examples, and documented case studies. Participants take guided walkthroughs of interpreted imagery and GIS outputs, then reason through analysis choices together in group exercises, so understanding comes from examining real results instead of following a script.

Who should attend

It suits geoscientists, environmental and resource specialists, and technical staff who want to use satellite imagery and GIS confidently in their work.

• Geologists and exploration geoscientists
• Environmental and resource analysts
• GIS and surveying technicians
• Project staff who commission or use spatial products

About EuroQuest International Training

Since its founding in 2015, EuroQuest International Training has delivered over 1,000 courses to more than 15,000 participants. The organization is based in Bratislava, Slovakia, and operates training hubs in Dubai, London, Barcelona, Istanbul, Vienna, Paris, and Geneva, offering practitioner-led courses across the geosciences.

Frequently asked questions

Are there live software or laboratory sessions in this course?

No. The course is discussion and case-study based, and imagery and GIS results are explored as interpreted examples that participants review and reason about together. There is no live software or laboratory session, so you can take part fully without any GIS package installed on your machine.

How much programming or GIS experience do I need?

None is required to start. The course explains sensors, corrections and spatial methods from first principles, so newcomers can follow along while those with some GIS exposure gain a clearer sense of what their tools are actually doing beneath the interface.

Will the course cover both remote sensing and GIS or only one?

It treats them as one connected workflow. Imagery is acquired and processed with remote sensing methods, then analyzed and mapped in a GIS, and the course deliberately keeps moving between the two so participants see how they reinforce each other in real projects.

Related courses

• Geological Exploration and Resource Assessment
• Mining Geology and Mineral Exploration Techniques
• Marine and Coastal Geology for Resource Management
• Energy Resources and Geosciences Innovations

Register for this course

To help your team turn satellite and GIS data into decisions they can defend, register for this course or get in touch with the EuroQuest team to book a place and talk through timing.