Day 1 – 2nd Dec 2024 |
|||||||||||
Time (IST hrs) |
Registration Desk |
Room 1 |
Room 2 |
Room 3 |
Room 4 |
Room 5 |
|||||
8:30 to 9:30 |
Tutorial Registration |
|
|||||||||
10:00 to 17:00 |
InGARSS 2024 Registration |
|
|||||||||
9:30 to 17:30 |
|
Full Day Tutorial 1 |
Full Day Tutorial 2 |
Full Day Tutorial 3 |
Half Day Tutorial 1 |
Full Day Tutorial 2 |
|||||
Day 2 – 3rd Dec 2024 |
|||||||||||
|
Registration Desk |
Room 1 |
Room 2 |
Room 3 |
Room 4 |
Room 5 |
|||||
9:00 – 17:00 |
Registration |
Inaugural address and Keynote talk at NIT Goa Auditorium |
|||||||||
9:30 – 11:00
|
|
||||||||||
11:00 – 11:30 |
|
Exhibition Opening and Tea/Coffee Break |
|||||||||
11:00 – 11:30 |
|
Plenary Talk Session |
|||||||||
13:00 – 14:00 |
Lunch Break |
||||||||||
14:00 – 15:15 |
|
CCS 1 |
CCS 2 |
CCS 3 |
CCS 4 |
CCS 5 |
|||||
15:15 – 15:30 |
|
Tea/Coffee Break |
|||||||||
15:30 – 16:45 |
|
CCS 6 |
CCS 7 |
CCS 8 |
CCS 9 |
CCS 10 |
|||||
16:45 – 17:30 |
|
WIE Event |
|||||||||
Day 3 – 4th Dec 2024 |
|||||||||||
|
Registration Desk |
Room 1 |
Room 2 |
Room 3 |
Room 4 |
Room 5 |
|||||
9:00 – 17:00 |
Registration |
|
|||||||||
9:00 – 10:15 |
|
CCS 11 |
CCS 12 |
CCS 13 |
CCS 14 |
CCS 15 |
|||||
10:15 – 11:30 |
|
Advanced Remote Sensing-I |
CCS 16 |
CCS 17 |
CCS 18 |
Instrument Sensors and calibrations |
|||||
11:30 – 13:00 |
|
Sponsor Speakers/ Invited Speakers |
|||||||||
13:00 – 14:00 |
Lunch Break |
||||||||||
14:00 – 15:15 |
|
Advanced Remote Sensing-II |
Cryosphere |
Atmosphere |
Planetary Science |
Mission Sensors and Calibrations |
|||||
15:15 – 16:15 |
|
SAR Imaging and & Processing Techniques-I
|
AI and Big Data |
Land Applications |
Oceans |
Societal Engagements and Impacts |
|||||
16:15 – 16:30 |
|
Tea/Coffee Break |
|||||||||
16:30 – 17:30 |
|
TIE Event |
|||||||||
Day 4 – 5th Dec 2024 |
|||||||||||
|
Registration Desk |
Room 1 |
Room 2 |
Room 3 |
Room 4 |
Room 5 |
|||||
9:00 – 11:30 |
Registration |
|
|
|
|
|
|||||
9:00 – 10:15 |
|
SAR Imaging & Processing Techniques-II
|
Exploring the advancements in flagship space programs |
Remote Sensing Technology for sustainable living and Environment |
National Policies and Strategies for Geospatial Data Management and Education
|
Waste Management |
|||||
10:15 – 11:30 |
|
Sponsor Speakers/ Invited Speakers |
|||||||||
11:30 – 13:00 |
|
YP Activities |
|||||||||
13:00 – 14:00 |
Lunch |
||||||||||
14:00 – 16:00 |
|
Interactive Presentation Session and Tea/Coffee Break |
|||||||||
16:00 – 16:30 |
|
Award Ceremony and High tea |
|||||||||
16:30 – 17:00 |
|
Closing Ceremony |
|||||||||
CCS 1: Early results from NASA-ISRO dual-frequency SAR (NISAR) Mission
CCS 2: Geospatial Knowledge Representation
CCS 3: Geospatial data Sustainable Development Goals
CCS 4: Shared Aperture Antenna Array Technology for Ground Airborne and Space borne Synthetic Aperture Radar Applications
CCS 5: Woman in Cryosphere Sciences: Bridging the Gap
CCS 6: Advancing Radar Remote Sensing with Combined Space and Ground Technologies
CCS 7: Advanced AI applications for Natural Disaster Managements
CCS 8: Hyper Spectral image class imbalance
CCS 9: Recent Developments in Geospatial Technology Empowered by Machine Learning/Deep Learning/Deep Learning Algorithms: Advanced Approaches, Challenges, and Opportunities
CCS 10: Revolutionizing Precision Agriculture: UAV-enabled Advanced Vegetation Monitoring Strategies
CCS 11: Decadal Breakthrough in MT-InSAR Technique for Precise Monitoring of Earth's Processes
CCS 12: Cutting-Edge Computer Vision Techniques for Target Detection in UAV Imagery
CCS 13: AI and ML-based onboard processing for advancing autonomous UAVs/Drones and their applications
CCS 14: Application of Artificial Intelligence (AI) on Multi-Sensor data for Smart Agriculture
CCS 15: Exploring the Intersections of GIS Technology with Planetary and Space Communication
CCS 16: Multi-Sensor Integration with AI/ML innovation for Natural Resource Management
CCS 17: Microwave Remote Sensing of Soil Moisture and Microwave Vegetation Parameters: Algorithms and Application
CSS 18: National Policies and Strategies for Geospatial Data Management and Education