About Course
This intensive one-month professional training programme focuses on advanced geospatial analysis, satellite data processing, Python-based geospatial automation, and practical applications of GeoAI.
The course is designed for learners who want to move beyond conventional GIS operations and develop computational skills for handling large-scale geospatial datasets. Participants will gain practical experience in Google Earth Engine, Python-based raster and vector processing, satellite time-series analysis, machine learning, and introductory deep learning applications.
The programme covers advanced workflows involving Sentinel-1, Sentinel-2, Landsat and other Earth observation datasets. Participants will learn to automate geospatial analysis, extract environmental indicators, perform land-cover classification, assess model accuracy, and develop introductory machine learning and deep learning workflows for geospatial applications.
The course culminates in an independent capstone project addressing a real-world environmental or geospatial problem.
Course Content
Module 1: Advanced Remote Sensing and GIS (Days 1–5)
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Day 1 – Advanced Principles of Remote Sensing and Earth Observation
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Day 2 – Satellite Data Sources and Earth Observation Platforms
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Day 3 – Advanced GIS and Geospatial Data Management
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Day 4 – Satellite Image Preprocessing and Enhancement Techniques
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Day 5 – Digital Elevation Models and Terrain-Based Environmental Analysis