On June 9th, Stefan Reder, a member of the IT4forests team, was invited to present at the workshop titled “Applications of UAV and Satellite Imagery in Forest Risk Assessment and Agricultural Crop Monitoring Using CV and AI”, hosted by Technological University Dublin.
This interdisciplinary event brought together experts in the use of AI and remote sensing technologies in both forestry and agriculture. The workshop covered a wide array of topics, from UAV-based storm damage assessments in Ireland caused by Hurricane Eowyn to the challenges of olive tree monitoring in politically complex regions like Palestine. These discussions underscored how environmental monitoring using advanced technology faces unique barriers, not only from nature but also from geopolitical situations.
Stefan’s presentation focused on the WINMOL Analyzer, a QGIS plugin designed for AI-driven analysis of windthrow damage in forests. This tool was developed as part of the WIJNMOL project, a collaboration between the Eberswalde University for Sustainable Development and the TI Eberswalde, and was funded by the BMEL. By leveraging AI and UAV-remote sensing, the WINMOL Analyzer provides forest managers with a powerful tool for detection and quantification of windthrown tree stems on UAV orthomosaics, supporting decision making and crisis response.

The event provided valuable insights into the practical applications and future potential of UAV and satellite imagery, highlighting the need for innovative solutions to manage risk and monitor crop health in an ever-changing world.
Explore the tool: https://stefanreder.github.io/WINMOL_Analyzer/index.html
Read the publication: https://doi.org/10.1016/j.foreco.2024.122411