Home SmartSat CRC Conference 2024 2024 Technical Posters

Posters

The SmartSat CRC Conference provides our PhD students and Project Teams with the opportunity to showcase their research to peers, fellow researchers and industry partners. All posters have been uploaded below and will also be displayed onsite for attendees to view in the Ian McLachlan Room, Adelaide Oval.

If you wish to see the posters from the SmartSat CRC Conference 2023, click here.

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- Next Generation Earth Observation Data Services
- PhD Posters
P3.32s On-ground management of soil health by integrating proximal and remote sensing platforms in northern Australian savannas grazing land
- Next Generation Earth Observation Data Services
- PhD Posters
P3.40s Machine Learning Based Water Quality Parameters Predicting and Forecasting
- Advanced Communication
- Connectivity & IoT Technologies
- PhD Posters
P1.29s Machine Learning Approach for The Enhancement of Transmission Capacity and Latency for IoT Satellite Communications Based on Resource Allocation
- Next Generation Earth Observation Data Services
- PhD Posters
P3.34s Integration of Digital Earth and IoT for Water Quality Monitoring
- Advanced Communication, Connectivity & IoT Technologies
- PhD Posters
P1.32s Emergency Buddy System
- Advanced Satellite Systems
- Sensors & Intelligence
- PhD Posters
P2.41s Interference modelling, detection, and mitigation for improving spaceborne SAR performance
- Next Generation Earth Observation Data Services
- PhD Posters
P3.44s Innovative Mapping of Archaeological Landscapes Using Satellite Remote Sensing
- Advanced Satellite Systems
- Sensors & Intelligence
- PhD Posters
P2.57s Advanced Synthetic Aperture Radar-based Surface and Underwater Object Detection and Classification
- Advanced Satellite Systems
- Sensors & Intelligence
- PhD Posters
P2.05s Responsible AI in Space

Posters

P3.32s On-ground management of soil health by integrating proximal and remote sensing platforms in northern Australian savannas grazing land

P3.40s Machine Learning Based Water Quality Parameters Predicting and Forecasting

P1.29s Machine Learning Approach for The Enhancement of Transmission Capacity and Latency for IoT Satellite Communications Based on Resource Allocation

P3.34s Integration of Digital Earth and IoT for Water Quality Monitoring

P1.32s Emergency Buddy System

P2.41s Interference modelling, detection, and mitigation for improving spaceborne SAR performance

P3.44s Innovative Mapping of Archaeological Landscapes Using Satellite Remote Sensing

P2.57s Advanced Synthetic Aperture Radar-based Surface and Underwater Object Detection and Classification

P2.05s Responsible AI in Space