Master'sDefense, Military Engineering & Land Systems Applications open

Master’s in Routes, Terrain and Geospatial Intelligence for Land Operations Engineering

Online master's programme of 1,900 hours in routes, terrain and geointelligence engineering for land operations: 12 modules covering geointelligence, cartography and geodesy, optical, radar and LiDAR remote sensing, terrain analysis, route planning, geospatial databases, geospatial AI, photogrammetry with drones and geospatial products, with an assigned technical tutor.

Duration1900 h
ModeOnline
LanguageEnglish
Start datesSet by the faculty
AwardSEIUM Institute diploma
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Learning outcomes

What you will be able to do

01

Apply the geointelligence production cycle.

02

Use reference systems and official cartography.

03

Process optical and radar satellite imagery.

04

Analyse terrain for mobility and visibility.

05

Plan optimal routes through network analysis.

06

Apply artificial intelligence to geospatial data.

07

Generate geospatial products in line with the regulations.

Profile

Who it's for

  • Geointelligence analysts.
  • Remote sensing engineers.
  • GIS specialists.
  • Photogrammetrists.
  • Geospatial data scientists.
  • Logistics planners.
  • Engineering or science graduates aiming to work in defence and security.
Standards & tools

What you'll work with

  • Directive 2007/2/EC (INSPIRE) (infrastructure for spatial information in the EU)
  • ISO 19115 (geographic information metadata)
  • ISO 19157 (geographic information data quality)
  • OGC WMS 1.3.0 (web map service)
  • Regulation (EU) 2016/679 (General Data Protection Regulation, GDPR)
  • STANAG 2211 (geodetic datums, projections, grids and grid references)
  • Commission Implementing Regulation (EU) 2019/947 (operation of unmanned aircraft)
  • QGIS
  • Google Earth Engine
  • SNAP
  • PostGIS
  • WebODM
Syllabus

12 modules · 1900 h

  1. 1.1The concept of geointelligence (GEOINT)
  2. 1.2The geospatial production cycle
  3. 1.3Sources: satellite, airborne and ground
  4. 1.4Civil applications: emergencies and planning
  5. 1.5INSPIRE spatial data infrastructures
  6. 1.6Bodies and programmes: Copernicus and SatCen
  7. 1.7Ethics and privacy of geospatial data
  8. 1.8Legal framework for remote sensing
  9. 1.9Professional profiles
  10. 1.10Case study: geointelligence in a flood response
  1. 2.1ETRS89 and WGS84 reference systems
  2. 2.2Map projections and UTM
  3. 2.3The MGRS system
  4. 2.4Geoid models
  5. 2.5Positional accuracy
  6. 2.6Scales and generalisation
  7. 2.7Cartographic symbology
  8. 2.8Official and military cartography
  9. 2.9ISO 19115 metadata
  10. 2.10Practical: coordinate system transformation with PROJ
  1. 3.1Principles of remote sensing
  2. 3.2Multispectral sensors: Sentinel-2 and Landsat
  3. 3.3Very high resolution imagery
  4. 3.4Radiometric and atmospheric corrections
  5. 3.5Spectral indices
  6. 3.6Supervised classification
  7. 3.7Change detection
  8. 3.8Photo-interpretation
  9. 3.9Time series
  10. 3.10Lab: land cover classification with Google Earth Engine
  1. 4.1Synthetic aperture radar
  2. 4.2Sentinel-1 and SAR missions
  3. 4.3InSAR interferometry
  4. 4.4Change detection with SAR
  5. 4.5Airborne LiDAR
  6. 4.6Digital surface and terrain models
  7. 4.7Point cloud classification
  8. 4.8SAR-optical fusion
  9. 4.9Terrain applications
  10. 4.10Practical: flood map with Sentinel-1 in SNAP
  1. 5.1Digital elevation models
  2. 5.2Slope, aspect and roughness
  3. 5.3Hydrological analysis
  4. 5.4Visibility analysis
  5. 5.5Vegetation cover and trafficability
  6. 5.6Soils and bearing capacity
  7. 5.7Natural obstacles
  8. 5.8Climate and seasonality
  9. 5.9Terrain analysis products
  10. 5.10Workshop: visibility analysis with QGIS
  1. 6.1Graph and network theory
  2. 6.2Shortest-path algorithms
  3. 6.3Cost-distance analysis
  4. 6.4Multi-criteria routing
  5. 6.5Route capacity and bottlenecks
  6. 6.6Logistics convoy planning
  7. 6.7Evacuation routes
  8. 6.8Off-road routing
  9. 6.9Dynamic updating
  10. 6.10Lab: optimal routes with pgRouting
  1. 7.1Vector and raster data models
  2. 7.2PostgreSQL and PostGIS
  3. 7.3Spatial queries
  4. 7.4OGC standards: WMS, WFS and WCS
  5. 7.5GeoServer map servers
  6. 7.6Data quality
  7. 7.7Integration of sources
  8. 7.8Geospatial big data
  9. 7.9Data governance
  10. 7.10Practical: infrastructure database in PostGIS
  1. 8.1Deep learning on imagery
  2. 8.2Object detection in satellite imagery
  3. 8.3Semantic segmentation
  4. 8.4Automatic change detection
  5. 8.5Labelled datasets
  6. 8.6Geospatial foundation models
  7. 8.7Explainability and bias
  8. 8.8Model validation
  9. 8.9Cloud deployment
  10. 8.10Lab: road segmentation with PyTorch
  1. 9.1Principles of photogrammetry
  2. 9.2Photogrammetric drone flights
  3. 9.3Structure from motion
  4. 9.4Orthomosaics and 3D models
  5. 9.5Ground control points and accuracy
  6. 9.6Drone flight regulations
  7. 9.7Processing with commercial and open-source software
  8. 9.8Products for engineering
  9. 9.9Management of large data volumes
  10. 9.10Practical: orthomosaic with WebODM
  1. 10.1Thematic maps and products
  2. 10.2Geospatial dashboards
  3. 10.33D visualisation and digital twins
  4. 10.4Emergency products: Copernicus EMS
  5. 10.5Secure dissemination
  6. 10.6Product quality standards
  7. 10.7Communication with the user
  8. 10.8Archiving and preservation
  9. 10.9Data licences
  10. 10.10Case study: damage assessment product
  1. 11.1INSPIRE Directive
  2. 11.2Copernicus data policy
  3. 11.3Protection of personal data in imagery
  4. 11.4High-resolution restrictions
  5. 11.5Dual use of geoinformation
  6. 11.6Ethics of satellite surveillance
  7. 11.7Geospatial project management
  8. 11.8Procurement of services
  9. 11.9Sector trends
  10. 11.10Workshop: analysis of geospatial data licences
  1. 12.1Definition of the geospatial problem
  2. 12.2Selection of data sources
  3. 12.3Processing and analysis
  4. 12.4Terrain analysis
  5. 12.5Route planning
  6. 12.6Geointelligence products
  7. 12.7Ethical and legal assessment
  8. 12.8Conclusions and future work
  9. 12.9Master's Thesis report
  10. 12.10Master's Thesis: defence before a panel
Methodology, software & labs

How you'll learn

100% online training on the SEIUM campus, with downloadable material, recorded classes and an assigned technical tutor. There are no fixed timetables: you progress at your own pace within the intake, so you can combine it with work.

Each module combines theory, guided reading of the original standard and applied exercises. The working software is QGIS, Google Earth Engine, SNAP, PostGIS and WebODM, in free, academic or evaluation versions. Testing is studied through real procedures for satellite image classification, optimal route planning over networks and orthomosaic production with drones. Assessment is continuous by module, plus the final Master's Thesis.

Standards covered: Directive 2007/2/EC (INSPIRE), ISO 19115, ISO 19157, OGC WMS 1.3.0, Regulation (EU) 2016/679, STANAG 2211, Commission Implementing Regulation (EU) 2019/947.

Assigned technical tutor:every module ends with a deliverable that your tutor marks individually.
Standards-based learning:guided reading of Directive 2007/2/EC (INSPIRE), ISO 19115 and ISO 19157 applied to real cases, not as a theoretical annex.
Industry software:QGIS, Google Earth Engine, SNAP, PostGIS and WebODM, in free, academic or evaluation versions.
Master's Thesis with defence:A complete geointelligence project on a real geospatial problem, from data selection and processing to terrain analysis, route planning and final products, defended before a panel.
Flexible format:100% online, no fixed timetables, compatible with full-time work.
Capstone project

Build it end to end

Your final project follows the real engineering workflow, step by step, reviewed by your tutor.

Problem and data sources
Define the geospatial problem and select satellite, airborne and ground data sources.
Processing and analysis
Process optical and SAR imagery with Google Earth Engine and SNAP.
Terrain analysis
Analyse terrain for trafficability and visibility from digital elevation models.
Route planning
Plan optimal routes with multi-criteria network analysis in PostGIS and pgRouting.
Master's Thesis
The geointelligence products with ethical and legal assessment, defended before a panel.
Career opportunities

Where this takes you

Geointelligence AnalystRemote Sensing EngineerGIS SpecialistPhotogrammetristGeospatial Data ScientistLogistics Planner
Admissions & scholarships

Requirements

  • University degree in engineering, science or architecture, or equivalent demonstrable professional experience.
  • Internet connection and a computer able to run the programme software.
  • English sufficient to read technical standards.

Ready to start?

Send your application today. Our admissions team replies within 72 hours with your study plan and funding options.

FAQ

Frequently asked questions

The programme totals 1,900 hours over 12–14 months. You set your own pace within each intake, and your tutor helps you plan the workload around your job.

You work with QGIS, Google Earth Engine, SNAP, PostGIS and WebODM, using free, academic or evaluation versions. Your tutor indicates the free alternative wherever one exists.

A SEIUM Institute diploma, awarded on passing the continuous assessment and the Master's Thesis. It is SEIUM's own qualification, not an official state degree; its recognition depends on the programme completed and the regulations of each country.

Yes. Modules passed in a course or postgraduate diploma in the same area are recognised in the higher programme. Ask about the recognition policy when you enrol.

A degree in engineering, science or architecture (or equivalent professional experience), a computer able to run the software, and English sufficient to read technical standards.

Start dates are set by SEIUM's faculty for each intake. Our admissions team will confirm the next available date when you apply.

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