Alexis Achim is a full professor and the Vice-dean for research in the faculty of forestry, geography and geomatics at Laval University in Canada. His research focused on the adaptation of silviculture to climate change. He is the principal investigator of Silva21 a Canada-wide research project that aims to provide data, tools and practical solutions to improve the resilience of Canadian forests to various disturbances and sources of stress, thereby contributing to the health of these ecosystems and the well-being of the communities that depend on them.

Chris Mulverhill is a Postdoctoral Research Fellow in the Integrated Remote Sensing Studio at the University of British Columbia in Vancouver, Canada. His research interests are in the use of remotely sensed data to inform forest management, which has covered a range of technologies and approaches, from fine-scale photogrammetry to national-level analyses. His recent work includes deriving past and future models for wildfire probability in Canada, in addition to the development and implementation of a continuous forest inventory framework, which is a part of the cross-Canada Silva21 project.

Madison Sophia Brown is a Msc student in the Integrated Remote Sensing Studio at the University of British Columbia (UBC), supervised by Dr. Nicholas Coops . She holds a Bsc in Applied Plant and Soil Science with a minor in Geological Science also from UBC and is a registered geoscientist. Her Research focuses characterizing and assessing the impact of non-stand replacing disturbances using moderate resolution satellite imagery and lidar in Central British Columbia. She is interested in change detection algorithms, the ecological impacts of forest disturbance, machine learning, multi-source remote sensing, and using new technologies to help detect, combat, and adapt to climate change.

Steffen Dietenberger is a researcher specializing in optical UAV analysis, with a focus on environmental research topics. He is currently working at the German Aerospace Center in Jena. His academic background in Geography has equipped him with expertise in high-resolution remote sensing data analysis for forestry and conservation purposes. Recently, he has been involved in a project focusing on digital forest inventories using UAV imagery and Structure from Motion.

Antonio Castañeda is currently associated with the Remote Sensing Department at Julius Maximilians University Würzburg, where he is assisting in establishing the foundations of the UAS team. He dedicates himself to performing UAV flights in non-conventional conditions and developing automated pipelines to process drone data, as well as utilizing drone-derived data to address ecological questions. His main interest lies in exploring the diverse applications and usability of drone-acquired LiDAR point clouds, multispectral, and hyperspectral imagery within the context of ecology and forest dynamics.

Spencer is a master's student in the Integrated Remote Sensing Studio at the University of British Columbia, Vancouver. His main research focus is on characterizing forest disturbances using high resolution satellite data.