Remote Sensing and Geographic Information Systems (GIS) Center

GIS Certification Track Syllabus

Structured professional education designed to equip local youth, university students, and government officials with marketable geospatial and Earth observation skills.

Level 1: Fundamentals of GIS & Cartography

• Spatial Data Models: Understanding vector (points, lines, polygons) and raster data structures.
• Coordinate Systems: Map projections, datum transformations, and spatial referencing.
• Data Management: Geodatabase creation, topological rules, and field data integration.
• Cartographic Design: Thematic mapping, symbology, and producing publication-quality maps.

Level 2: Applied Satellite Remote Sensing

• Earth Observation Principles: Multispectral imagery interpretation and sensor characteristics.
• Image Pre-processing: Radiometric, atmospheric, and geometric corrections.
• Spectral Indices: Calculating and analyzing NDVI, NBR, and NDWI for environmental monitoring.
• Classification Algorithms: Implementing supervised and unsupervised image classification techniques.

Level 3: Advanced Spatial Data Science & ML

• Cloud Computing: Processing large-scale satellite data using Google Earth Engine (GEE).
• Spatial Automation: Scripting geospatial workflows using Python (GeoPandas, Rasterio).
• Predictive Modeling: Applying machine learning algorithms (Random Forest, XGBoost) to spatial datasets.
• Deep Learning Applications: Utilizing CNNs and DNNs for complex land use and forest cover dynamics.