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Geospatial Intelligence and SAR Image Processing Training

Online Training Download PDF
Upcoming Training Schedules 17 locations
Location Duration Next Start Date Dates Available Action
Nairobi, Kenya 10 days Jul 13, 2026 104 dates
Accra, Ghana 10 days Aug 3, 2026 31 dates
Addis Ababa, Ethiopia 10 days Jul 20, 2026 31 dates
Cape Town, South Africa 10 days Jul 13, 2026 52 dates
Dar es salaam, Tanzania 10 days Jul 13, 2026 1 date
Dar es Salaam, Tanzania 10 days Jul 20, 2026 27 dates
Dubai, UAE 10 days Aug 3, 2026 53 dates
Guangzhou, China 10 days Aug 3, 2026 1 date
Istanbul, Turkey 10 days Aug 17, 2026 20 dates
Kampala, Uganda 10 days Jul 20, 2026 31 dates
Kigali, Rwanda 10 days Jul 20, 2026 55 dates
Kuala Lumpur, Malaysia 10 days Jul 27, 2026 31 dates
Mombasa, Kenya 10 days Jul 27, 2026 56 dates
Pretoria, South Africa 10 days Jul 13, 2026 53 dates
Shanghai, China 10 days Dec 7, 2026 1 date
Singapore 10 days Jul 13, 2026 32 dates
Zanzibar, Tanzania 10 days Oct 5, 2026 16 dates

Geospatial Intelligence and SAR Image Processing Training

Course Introduction

The Geospatial Intelligence and SAR Image Processing Training provides participants with advanced knowledge and hands-on skills in remote sensing, Synthetic Aperture Radar (SAR), GIS analytics, and geospatial data interpretation. As geospatial technologies play an increasingly vital role in national security, disaster management, urban planning, and environmental monitoring, this course equips learners with essential competencies in geospatial intelligence, SAR imaging, Earth observation systems, and geospatial analysis workflows.

In a rapidly evolving world, organizations rely heavily on SAR data, geospatial analytics, and GIS intelligence to make informed decisions in defense, climate change adaptation, agriculture, and infrastructure development. This training emphasizes practical SAR image processing techniques such as speckle filtering, interferometry (InSAR), classification, feature extraction, and change detection. Participants will learn how SAR complements optical imagery and how to apply multi-source remote sensing datasets for accurate situational awareness.

This geospatial intelligence and remote sensing course integrates the latest tools and technologies, including QGIS, ArcGIS, SNAP, Google Earth Engine, and artificial intelligence-assisted geospatial analytics. Learners will explore how SAR can penetrate clouds, acquire night-time imagery, and provide critical insights for monitoring land use, hazards, and terrain. Real-life case studies from agriculture, hydrology, defense, and disaster response will be used to strengthen analytical and problem-solving skills.

By the end of this SAR image processing and geospatial intelligence training, participants will be capable of analyzing SAR imagery, integrating geospatial datasets, producing intelligence reports, and supporting data-driven decision-making. This course is ideal for professionals working in GIS departments, defense agencies, environmental organizations, research institutions, disaster management units, and infrastructure planning sectors.

Course Objectives

  1. Understand core concepts of geospatial intelligence and SAR technology.
  2. Develop skills in acquiring, processing, and interpreting SAR imagery.
  3. Apply geospatial analysis techniques for decision-making.
  4. Use GIS software and remote sensing tools for geospatial workflows.
  5. Conduct terrain analysis, land-use monitoring, and hazard detection.
  6. Perform SAR image enhancement, filtering, and classification.
  7. Integrate SAR with optical imagery for multi-sensor analysis.
  8. Produce geospatial intelligence reports and thematic maps.
  9. Apply machine learning to geospatial and SAR data interpretation.
  10. Strengthen analytical capacity for environmental, security, and infrastructure applications.

Organizational Benefits

  1. Enhanced capacity to leverage geospatial intelligence for decision-making.
  2. Strengthened monitoring and surveillance using SAR and remote sensing tools.
  3. Improved accuracy in environmental and infrastructure mapping.
  4. Increased operational efficiency through geospatial automation.
  5. Access to advanced geospatial datasets for planning and risk assessment.
  6. Enhanced ability to predict, detect, and manage hazards and disasters.
  7. Better land-use planning, resource allocation, and spatial modeling.
  8. Strengthened national security and intelligence capabilities.
  9. Improved compliance with geospatial data standards and policies.
  10. Increased institutional competitiveness in data-driven technical fields.

Target Participants

Ideal for GIS analysts, remote sensing specialists, environmental scientists, military intelligence officers, disaster management personnel, urban planners, hydrologists, geographers, researchers, and professionals involved in geospatial data analysis and Earth observation applications.

Course Outline

Module 1: Introduction to Geospatial Intelligence

  1. Concepts and components of geospatial intelligence
  2. Role of GEOINT in decision-making
  3. Remote sensing fundamentals
  4. Spatial data types and sources
  5. Introduction to SAR imaging
  6. Case Study: GEOINT applications in national security

Module 2: Fundamentals of SAR Imaging

  1. Principles of radar remote sensing
  2. SAR acquisition geometry
  3. Wavelengths, frequencies, and polarization
  4. SAR advantages over optical imagery
  5. SAR data formats and metadata
  6. Case Study: SAR use in flood monitoring

Module 3: SAR Image Pre-Processing

  1. Radiometric calibration
  2. Geometric correction and terrain correction
  3. Speckle noise reduction techniques
  4. Image mosaicking and subset extraction
  5. Data conversion and preparation
  6. Case Study: Pre-processing SAR for agricultural mapping

Module 4: SAR Image Interpretation and Analysis

  1. Visual interpretation of SAR imagery
  2. Feature extraction from radar images
  3. Backscatter analysis
  4. Identifying terrain features
  5. Object-based SAR analysis
  6. Case Study: Monitoring deforestation using SAR

Module 5: SAR Interferometry (InSAR)

  1. Principles of interferometry
  2. Coherence and phase analysis
  3. Ground deformation mapping
  4. DEM generation using InSAR
  5. Interferogram interpretation
  6. Case Study: InSAR for volcanic activity monitoring

Module 6: Change Detection Using SAR

  1. Multi-temporal SAR analysis
  2. Coherence change detection
  3. Flood, landslide, and land cover change monitoring
  4. Image differencing techniques
  5. Monitoring urban expansion
  6. Case Study: SAR change detection during natural disasters

Module 7: Integration of SAR and Optical Data

  1. Multi-sensor data fusion
  2. Combining SAR with multispectral imagery
  3. Improving classification accuracy
  4. Vegetation and water mapping
  5. Temporal data fusion techniques
  6. Case Study: Crop monitoring using SAR + optical datasets

Module 8: GIS Analysis and Thematic Mapping

  1. Spatial analysis fundamentals
  2. Raster and vector analysis techniques
  3. Map design and cartography
  4. Spatial modeling in GIS
  5. Creating geospatial intelligence reports
  6. Case Study: Mapping refugee settlements using GIS

Module 9: Machine Learning in SAR and GEOINT

  1. Introduction to machine learning algorithms
  2. SAR classification using ML
  3. Feature engineering for geospatial data
  4. Deep learning and convolutional neural networks
  5. Automated object detection from SAR
  6. Case Study: AI-assisted detection of vehicles in SAR imagery

Module 10: Environmental and Disaster Applications

  1. Flood modeling and hazard mapping
  2. Land degradation and soil moisture assessment
  3. Monitoring glaciers and snow cover
  4. Forest fire assessment using geospatial data
  5. Climate change and environmental monitoring
  6. Case Study: SAR-based early warning systems

Module 11: Infrastructure and Urban Applications

  1. Urban growth mapping
  2. Road and building detection
  3. Utility and pipeline monitoring
  4. Coastal zone monitoring
  5. Mapping informal settlements
  6. Case Study: Infrastructure deformation monitoring using InSAR

Module 12: Practical Tools, Software, and GEOINT Reporting

  1. Using SNAP for SAR processing
  2. GIS tools: QGIS, ArcGIS, Google Earth Engine
  3. Remote sensing data portals (Copernicus, NASA, ESA)
  4. Designing GEOINT dashboards
  5. Producing intelligence maps and reports
  6. Case Study: End-to-end geospatial intelligence workflow for emergency response

General Information

  1. Customized Training: All our courses can be tailored to meet the specific needs of participants.
  2. Language Proficiency: Participants should have a good command of the English language.
  3. Comprehensive Learning: Our training includes well-structured presentations, practical exercises, web-based tutorials, and collaborative group work. Our facilitators are seasoned experts with over a decade of experience.
  4. Certification: Upon successful completion of training, participants will receive a certificate from Foscore Development Center (FDC-K).
  5. Training Locations: Training sessions are conducted at Foscore Development Center (FDC-K) centers. We also offer options for in-house and online training, customized to the client's schedule.
  6. Flexible Duration: Course durations are adaptable, and content can be adjusted to fit the required number of days.
  7. Onsite Training Inclusions: The course fee for onsite training covers facilitation, training materials, two coffee breaks, a buffet lunch, and a Certificate of Successful Completion. Participants are responsible for their travel expenses, airport transfers, visa applications, dinners, health/accident insurance, and personal expenses.
  8. Additional Services: Accommodation, pickup services, freight booking, and visa processing arrangements are available upon request at discounted rates.
  9. Equipment: Tablets and laptops can be provided to participants at an additional cost.
  10. Post-Training Support: We offer one year of free consultation and coaching after the course.
  11. Group Discounts: Register as a group of more than two and enjoy a discount ranging from 10% to 50%.
  12. Payment Terms: Payment should be made before the commencement of the training or as mutually agreed upon, to the Foscore Development Center account. This ensures better preparation for your training.
  13. Contact Us: For any inquiries, please reach out to us at training@fdc-k.org or call us at +254712260031.
  14. Website: Visit our website at www.fdc-k.org for more information.

 

 

 

 

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training@fdc-k.org • +254 712 260 031 • Nairobi, Kenya