Leveraging AI models for insect damage detection in European forests

This webinar will showcase the challenges and opportunities of artificial intelligence-based remote sensing methods for mapping bark beetle outbreak damage in satellite images by exploring the crucial role of field data collection to provide the requested effective supervision or accurate model development. The talks will highlight how collaboration between AI model developers and foresters' ground truth data collectors is crucial to achieve accurate results in the model development and maintenance.

This webinar is part of the SWIFTT Project Webinar Series.

Our speakers

Beatrice Basso (AXA Climate, FR)

Beatrice Basso has a degree in management and began her career at Goldman Sachs. In 2023, she decided to breathe new life into her career and dedicate herself to climate issues. Today, at AXA Climate, she combines her expertise in finance and sustainability to drive initiatives that enhance environmental and economic outcomes.

Juris Zariņš (Rigas Mezi, LV)

Juris Zariņš is the head of the SIA “Rīgas meži” forest management planning department with responsibility for the ecological landscape planning, preparation of forest management plans, as well as the development of the company's forest data management information system. Juris Zariņš is a researcher at the Latvian Forest Research Institute "Silava", with interest in national forest inventory, remote sensing, riparian forests.

Annalisa Appice (University of Bari Aldo Moro, IT)

Annalisa Appice is a Full Professor at the Department of Computer Science, University of Bari Aldo Moro, Italy. Her current research interests include data mining with event logs, spatio-temporal data and data streams with applications to remote sensing, process mining, and cybersecurity.