Live Masterclass on Thursday October 19th. 9:30 A.M. CET
The Power of remote sensing:
How AI is Revolutionizing earth observation in environment monitoring, agriculture and defense.
How AI is Revolutionizing earth observation in environment monitoring, agriculture and defense.
Featured Speakers
Nicolaï Holzer
Sales engineer EMEA
Thibaut Lucas
Co-founder & CEO
Delphine Nobileau
Scientific consultant and project manager
Jean-Emmanuel WATTIER
Head of Strategic Business
Hi there,
Earth observation has never been as active as today, with unprecedented amounts of devices in the air and in space that embark the highest technology to capture data. AI also revolutionizes the sector with its capacity to analyze these large amounts of data, leading to breakthrough applications in defense, agriculture and environment monitoring. Today, we've brought together leading experts and industry pioneers to share their vision, experiences and expertise on the future of earth observation thanks to AI.
- 9:30am-9:45: Introduction
- 9:45-10:15: NV5:
How to solve complex geospatial problems with an easy to use Deep Learning COTS solution:
ENVI Deep Learning is an easy to use Deep Learning COTS solution integrated as module to ENVI, the industry standard image processing and analysis software of NV5 Geospatial. Powered by TensorFlow and Keras, it provides object detection, pixel segmentation and – with the next release – grid patch classification capabilities that can be applied to any type of remote sensing imagery. In this presentation we exemplify how this easy to use applied Deep Learning software technology is used to solve complex geospatial problems in environmental monitoring, agriculture and defense.
- 10:15-10:45: Picsellia
Efficient Tooling and Platforms in AI-Based Earth Observation: A Practical Overview:
Navigating the lifecycle of an AI-based Earth Observation product essentially involves overcoming two primary hurdles: monitoring data and overseeing the model. In the talk, we’ll share expert tips and best practices for using specialized tools and platforms to address these issues effectively. A brief case study will highlight the value of having the right tools in place.
- 10:45-11:15: Ingedata:
Scaling annotation to extract finer intelligence from Earth Observation data:
High-Resolution imagery now allows to outperform the competition with Earth Observation models that identify the tiniest details. Building a scalable system that reconciles the need for increasingly precise annotation with the large amounts of data that AI requires is the key for keeping ahead, but how to achieve it?
- 11:15-11:45: Capgemini:
Earth Observation and AI for sustainable development:
The space sector is rapidly evolving due to various technological advancements such as cloud computing, artificial intelligence, and innovative data interpretation techniques. Decision support tools have proven to be extremely valuable in providing critical information related to crucial areas like agriculture, forestry, urbzn expansion or energy.
- 11:45-11:55: Conclusion
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“A baby learns to crawl, walk and then run. We are in the crawling stage when it comes to applying machine learning.”
Dave Water, Department of Earth Sciences, University of Oxford