Earth Observation (EO) data is an essential resource for tackling societal, environmental, and industrial challenges. Through initiatives such as the Swedish Space Data Lab (Rymddatalabbet), RISE drives progress in leveraging EO data for both immediate societal benefit and long-term sustainable development.
This talk will delve into RISE's cutting-edge work in integrating artificial intelligence (AI), edge computing, and edge learning to optimize EO data use. Practical examples will highlight projects focused on nature-based solutions for climate change adaptation and mitigation, including biodiversity monitoring, smart agriculture, and urban greening initiatives.
Discover how RISE fosters innovation through collaborative platforms and open calls, driving the development of commercializable solutions from Earth Observation data.
These efforts focus on advancing scalable EO data processing while driving industrial innovation and societal impact. This talk will showcase how RISE and its partners leverage cutting-edge technologies and collaborations to unlock EO data's transformative potential, foster commercialization, and position Sweden as a leader in sustainable innovation and the green transition.
Olof Mogren is the director of deep learning research at RISE, co-founder of Climate AI Nordics, and co-principal investigator for CLIMES, the Swedish Center for Impacts of Climate Extremes. Holding a PhD in machine learning from Chalmers University of Technology (2018), he focuses on both foundational and applied machine learning. His work spans areas such as computer vision and soundscape analysis, with a strong emphasis on climate change adaptation and environmental monitoring. Recent project topics include biodiversity monitoring, efficient distributed machine learning, remote sensing, stream flow forecasting, and smart fire detection using machine listening.
