0900 – 0945
Inaugural Session
Technology Frontiers in Geospatial
Objective: Setting the tone of the training program. Introduce participants to cutting-edge tools driving innovation in geospatial technology.
0945 – 1005
Geospatial Technology: Overview and Trends
1005 – 1025
Positioning (GNSS and Indoor) & Mobile GIS: Impacts on Field Applications
1025 – 1045
Data Sharing and Web Applications
1045 – 1115
Tea-Coffee Break
1115 – 1135
Leveraging Geo-Spatial Technologies for Different Domains – Applications & Case Studies
1135 – 1155
Towards Geospatial Knowledge Infrastructure
1155 – 1300
Experience Sharing by Participants
1300 – 1400
Lunch Break
Theme: Data Intelligence – From Acquisition to Analytics
Objective: Deep Dive into Technology Innovation, Data, and Analytics
1400 – 1730
Module 1: Data Acquisition and Processing in GIS: Imagery, Point Cloud, Aerial Mapping, UAV
1400 – 1500
P1: Deep-Dive in Satellite Data and Case Studies
1500 – 1600
P2: Deep-Dive in Point Cloud Data and Case Studies
1600 – 1630
Tea-Coffee Break
1630 – 1730
P3: Deep-Dive in UAV and Case Studies
0900 – 1230
Module 2: AI/ML and Data Science in Spatial Context
0900 – 1000
Concept and Overview on AI/ML/DL
1000 – 1100
GeoAI: Using AI/ML/DL in Geospatial Analytics
1100 – 1130
Tea-Coffee Break
1130 – 1230
Working with Python for Spatial Analytics
1230 – 1330
Lunch
1330 – 1700
Module 3: Geospatial + IoT Sensor Integration
1330 – 1415
Concept and Overview on IoT
1415 – 1545
Integrating Geospatial and Sensor Networks
1445 – 1515
Tea-Coffee Break
1515 – 1600
Secure Data Transactions
1600 – 1700
Case Studies for Smart Cities
0900 – 1230
Module 4: Digital Twins, 3D GIS, and Smart Systems
0900 – 1000
Fundamentals of 3D GIS & Digital Twins and Various Platforms
1000 – 1100
Data Processing and Modelling
1100 – 1130
Tea-Coffee Break
1130 – 1200
Case Studies (Application) and Exploring 3D Models
1230 – 1330
Lunch
1330 – 1700
Module 5: Big Data and Linked Data
1330 – 1430
Introduction to Geospatial Big Data, Its Handling, Various Tools
1430 – 1530
Linked Data and Semantic Web: Principles and Publishing
1530 – 1600
Tea-Coffee Break
1600 – 1700
Visualizing and Analyzing a Multi-Source Data Stack (Big Spatial Data) for a Smart Application
0900 – 1230
Module 6: Solution Architecture, Design & Deployment Strategies
0900 – 1000
Web GIS Fundamentals: Solution Design, Architecture, Deployment Patterns – Standalone, Web, Cloud, Hybrid, SOA
1000 – 1100
Microservices & Serverless Functions, Containerization
1100 – 1130
Tea-Coffee Break
1130 – 1230
Infrastructure Planning (On-Premise / Cloud)
1230 – 1330
Lunch
Theme: Enabling Innovation Ecosystems
Objective: Equip faculty to lead curriculum design, research, and institutional change in geospatial education and practice (Bridge knowledge to action)
1330 – 1430
Building Digital Infrastructure & Data Curation Strategies: Data Registry, Data Sovereignty, Licensing, Legal Frameworks
1430 – 1530
Establishing Incubation Networks in Academia for Geo-Innovation
1530 – 1600
Tea-Coffee Break
1600 – 1700
Future-Ready Geospatial Curricula and Pedagogical Innovation
Theme: Data Standardization
Objective: Comprehensive understanding on standardization practices that will help align technical design with real-world applications and institutional needs.
0900 – 1000
Data Standardization, Modelling, Dissemination & Data Security
1000 – 1100
Accessing Open Data & APIs & Publishing Maps & Dashboards
1100 – 1130
Tea-Coffee Break
1130 – 1230
Hands-on Exercises Covering Map
1230 – 1330
Lunch
1330 – 1630
Group Presentation and Evaluation
1630 – 1730
Closing Session, Certification, Participant Reflections