Aerial Strasbourg

Master of Space Studies 2026

Track 1 Part B

Space Applications

Earth Observation, Navigation and Telecommunication. Master of Space Studies 2026 - Module 3 Track 1b.

📚 Module 3 Study Guide

Module Schedule

Review the daily topics, lectures, and workshops below.

February 5
Cartography
Lecture 10:00 - 12:00
GIS
Lecture 14:00 - 16:00
View Materials
February 9
GISc
Lecture 14:00 - 16:00
View Materials
February 10
How to Make a Map
Workshop 10:00 - 12:00
Geocoding
Lecture 14:00 - 15:00
Geocoding Workshop
Workshop 15:00 - 16:00
View Materials
March 5
Georeferencing
Lecture 10:00 - 12:00
Georeferencing Lab
Workshop 15:00 - 16:00
View Materials
March 6
Spatial Analysis
Lecture 09:30 - 16:30
View Materials
March 10
John Snow Workshop
Workshop 10:00 - 12:00
View Materials Lab Guide
March 11
Image Processing & Interpretation
Lecture 10:00 - 11:00
Hyperspectral Remote Sensing
Lecture 11:00 - 12:00
View Materials
March 12
Digital Image Processing
Lecture 10:00
Image Classification
Lecture 11:00
Change Detection
Lecture 14:00
AI and ML in EO
Lecture 15:00
View Materials
March 17
Google Earth Engine Labs
Workshop 10:00 - 16:00
View Materials
March 19
Terrain Mapping & Radar RS
Lecture 10:00 - 12:00
GEE Elevation Modeling
Workshop 14:00 - 16:00
View Materials
March 20
Global Monitoring & Climate
Lecture 10:00 - 12:00
UI / UX Design
Lecture 14:00 - 16:00
View Materials
March 27 - April 1
EO Web App Development
Group Project
Project Briefing
May 5
Elevation Modeling & Data Fusion
Intensive
Data Fusion Briefing
Briefing
May 5 Materials Fusion Briefing
May 7
Photogrammetry & Drone IP
Lecture/Lab
View Materials
📝 May 21 (Thursday)
M3 T1-B Final Examination
EXAM 14:00 - 16:00
6 Scenario-Based Questions | 20 Points | 120 Minutes
📚 Open Study Guide

Course Instructor

Dr. Moulay Anwar Sounny-Slitine

Dr. Moulay Anwar Sounny-Slitine

Resident Faculty @ International Space University

Dr. Sounny-Slitine is an expert in Geographic Information Science (GIS), Remote Sensing, and GeoAI. With a PhD in Geography from the University of Texas at Austin, his research focuses on the intersection of physical and social systems, using spatial computing and artificial intelligence to solve complex sustainability challenges.