The ASTRAIOS Webinar Series returns this May
- easnnet
- Apr 25
- 2 min read
Following a successful session in February, the ASTRAIOS Webinar Series is back with a new lineup of expert-led webinars focusing on key topics in space education and training.
A series of webinars is being prepared under the ASTRAIOS project, focusing on key topics in space education and training. Organised as part of the ASTRAIOS Knowledge Hub, these upcoming webinars aim to support the development of targeted learning resources and address identified gaps in skills and knowledge related to Earth Observation (EO), Artificial Intelligence (AI), and space-based technologies.
The series will begin again on 14 May 2025 with a session titled:
"Uncontrolled Illegal Mining and Garimpo in the Brazilian Amazon"
Speaker: Luiz Cortinhas, CTO at Solved – Geoinformation Solutions
This webinar will explore how deep learning, particularly U-shaped convolutional neural networks (CNNs), can be applied to remote sensing change detection. Luiz Cortinhas will present a U-Net-based methodology for detecting and mapping industrial and artisanal mining areas in Brazil, using 37 years of annual Landsat mosaics (1985–2022).
The model, spatially validated by specialists, achieved:
99% overall accuracy
91% producer and user accuracies
A tenfold increase in detected mining area, reaching 4,500 km²
Major proportional growth in artisanal mining
A modified U-Net model with 30% fewer trainable parameters will also be presented, highlighting its effectiveness in providing accurate and up-to-date mining data for environmental management and territorial planning.
Register now:
Upcoming Webinars
This is just the beginning. Future webinars will explore a wide range of space-related topics, including:
Urban mapping and spatial inequalities
Monitoring air quality from space
Disaster resilience and systemic risk
Digital Twins and EO data
Machine learning in support of the SDGs
Details on the schedule and registration will be available soon.Stay informed and explore how data and space innovation can support real-world challenges.
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