Kim Calders received the BSc and MSc degrees in bioscience engineering from Katholieke Universiteit Leuven (BE) in 2006 and 2008, respectively, the MSc degree in remote sensing from University College London (UK), in 2010, and the PhD degree in LiDAR remote sensing from Wageningen University (NL) in 2015. From 2015 until 2017 he was a Post-Doctoral Researcher with the National Physical Laboratory and the Department of Geography, UCL (UK). He was a Post-Doctoral Researcher and Marie-Curie Fellow at Ghent University from 2017 until 2021. Since October 2021, he is an Associate Research Professor of Earth Observation & Terrestrial Ecology at Ghent University. He is a member of the Q-ForestLab research group at the Faculty of Bioscience Engineering where he leads the team on laser scanning.

Katsuto Shimizu is a researcher at Forestry and Forest Products Research Institute, Shikoku Research Center in Japan. He received a Ph.D. degree in Agriculture from Kyushu University, Japan, in 2019. His work focuses mainly on forest disturbance monitoring using satellite time series data in Japan and Southeast Asian countries. He is currently involved in a research project focused on monitoring national-scale forest dynamics using multiple remote sensing data.

Dr Trung Nguyen is a Postdoctoral Fellow in the Remote Sensing lab at RMIT, in Melbourne, Australia. His research revolves around leveraging remote sensing techniques to monitor forest dynamics across various spatial and temporal scales. Trung is currently involved in a Smartsat CRC project called Real Time Fire Analytics. This project aims to develop a comprehensive satellite system comprising geostationary, polar orbiting, and aerial-based sensors to enable real-time fire landscape attribution. Trung's primary focus is to investigate the potential of multi-sensor, time-series satellite data to estimate fine fuel loads and track changes in Eucalypt forests.

Christopher S. R. Neigh received the Ph.D. degree in Geography from the Department of Geographical Sciences, University of Maryland, College Park, MD, USA, in 2008. Since 2001, he has been with GSFC, initially with Science Systems Applications Inc. in 2001– 2009, then a NASA Postdoctoral Fellow in 2009 and 2010, and a civil servant since 2010. He is currently the Landsat 8 and 9 Project Scientist and is a Co-lead of the Landsat Science Team. He has extensive experience quantifying land-cover land-use change, biomass, and modeled the terrestrial carbon-cycle with disturbance. His research interests include drivers of change to agriculture and forested ecosystems using a suite of multispectral sensors, synthetic aperture radar, spaceborne and airborne LiDAR, and very higher resolution commercial satellite data. He uses these remote sensing tools with machine learning and AI to characterize the productivity, type, structure, and carbon content of land surface vegetation.

Rafael is a forest engineer with PhD in LiDAR remote sensing for the assessment of tree structure and functions with ground sensors and related approaches. Much of his initial research has focused on tree modelling in the context of agroforestry systems Currently, the postdoctoral activities include the assessment of riparian vegetation of the tropical savanna in the Northern Territory (Australia) using multi-source LiDAR data, developing solutions for the large scale monitoring of dense vegetation, and deriving structural and functional metrics related to tree water use based on quantitative structure models for resolving

Piotr Wężyk PhD in forestry, Professor of Earth Sciences in Geography, Senior Research Scientist at the Faculty of Forestry University of Agriculture in Krakow (Faculty of Forestry, Department of Forest Ecology) and lecturer ie. at the Institute of Geography and Spatial Management, Jagiellonian University in Krakow (Poland). He has 33 years of experience in research and teaching in the field of Geomatics applications in forestry, forest ecology, nature protection, landscape architecture and Urban Forestry. He has professional experience from many international and national research projects, development and commercial implementation of GI applications in managed forest or protected areas (National Parks., Reserves). He is expert on forest applications in the field of ALS, TLS, HLS, ULS, MLS LiDAR, VHRS remote sensing, GEOBIA, data fusion, digital photogrammetry, UAV/UAS, 3-D and 4-D spatial GIS analyses.

Dr. Peter Scarth is a Director at Ozius, leading Big Data and AI efforts. He specializes in creating precise data management frameworks and mathematical models to capture and visualize dynamic changes in global vegetation. Leveraging extensive earth observation datasets, Peter drives innovation in spatial data applications, striving to make them accessible to a broader audience. His interdisciplinary approach ensures that complex environmental data translates into actionable insights for land management, benefiting researchers and policymakers alike.

Professor Finn joined the University of South Australia in 2010 as a Research Professor of Autonomous Systems at the Defence And Systems Institute (DASI) and was appointed Director in 2012. He graduated from Cambridge University in 1989 with a PhD in Engineering. Before moving to South Australia to join the Defence Science and Technology Organisation in 1991, he worked as a research consultant for a number of commercial and government organisations in Europe. His current research interests are in the application and integration of Autonomous and Unmanned Systems, but he has a wide range of technical expertise in other fields including: remote sensing; radio wave and acoustic propagation; atmospheric modelling; tracking, target motion analysis and geolocation; geodetic surveying; satellite navigation; electronic warfare (EW); communications; spacecraft design and environmental test; hardware-in-the-loop (HITL) simulation; systems engineering; and, systems of systems integration.