Carlos Alberto Silva is an Assistant Professor of Quantitative Forest Science in the School of Forest, Fisheries, and Geomatics Sciences (SFFGS) at the University of Florida (UF) where he directs the Forest Biometrics and Remote Sensing Lab (Silva Lab). He is interested in understanding how forest ecosystems changes over time due to natural and anthropogenic disturbances and their impact on the carbon cycle. His core research consists of developing statistical frameworks and cutting-edge open-source tools, such as rGEDI, TreeTop, rLiDAR, ForestGapR, and leafR for remote sensing data processing and forest resources monitoring. He is particularly interested in using lidar (light detection and ranging) data, from airborne (ALS), terrestrial (TLS), and satellite platforms, combined with multi- and hyperspectral satellite data, advanced statistical methods and AI to address ecological questions related to forest ecosystem structure, function, and composition dynamics at a variety of spatial scales.

Dr. Korhonen works as a senior researcher of forest mensuration science at the University of Eastern Finland. His research interests include forest inventory applications with airborne laser scanning, optical satellite images and ICESat-2.

Dr. Sorin Popescu's academic interests focus on combining ecological and forest sciences with technology and data science to support scientific discovery, conservation, and management of our natural environment. His interests address questions and challenges from local to global scales and involve lidar on all platforms, terrestrial, airborne, and spaceborne, to characterize vegetation three-dimensional structure for biomass estimation, wildland fires, individual tree mapping, and vegetation and land cover change. He has served for 10 years on the National Aeronautics and Space Administration (NASA) Science Team for the ICESat-2 satellite mission, the Ice, Cloud, and land Elevation Satellite-2, launched in Sept 2018.

Dr Duncanson is an assistant professor at the University of Maryland, College Park in the Department of Geographical Sciences. Her research focuses on using satellite lidar and data fusion for forest aboveground biomass mapping, and various science and management applications of biomass products.

Sérgio Godinho is a Research Scientist in Environmental Remote Sensing Applications. He completed the PhD in Interdisciplinary Landscape Management in 2015, Master in Biosystems Engineering in 2011, and a 5 years degree in Biophysical Engineering in 2007 in University of Évora. He has 32 published papers and 2 book chapter as a co-author. He participated in 15 research projects (8 national and 7 international). Works in the area of Natural sciences, Earth and Environmental Sciences with emphasis on remote sensing, vegetation structure and dynamics using multispectral, SAR, and LiDAR technologies; multi-scale and multi-sensor data fusion; wildland fuel mapping; Machine learning. Currently he is the PI of the projects FUEL-SAT (Integration of multi-source satellite data for wildland fuel mapping) (2021-2025), and 3D-SMOS (Combining LiDAR, radar, and multispectral data to characterize the three-dimensional structure of vegetation and produce land cover maps) (2023-2025).

Ronghai Hu is currently an associate professor at the College of Resources and Environment, University of Chinese Academy of Sciences. He received his Ph.D. degree in remote sensing from Beijing Normal University and the ICube Laboratory, CNRS-University of Strasbourg, Illkirch, France, in 2018. He proposed a Path Length Distribution Model (PATH) for modeling the foliage clumping effect and estimating LAI by considering the 3D distribution of leaves. His research interests include remote sensing of vegetation structure, LiDAR remote sensing, scale effects in remote sensing, and ecological remote sensing.

Carlos Alberto Silva is an Assistant Professor of Quantitative Forest Science in the School of Forest, Fisheries, and Geomatics Sciences (SFFGS) at the University of Florida (UF) where he directs the Forest Biometrics and Remote Sensing Lab (Silva Lab). He is interested in understanding how forest ecosystems changes over time due to natural and anthropogenic disturbances and their impact on the carbon cycle. His core research consists of developing statistical frameworks and cutting-edge open-source tools, such as rGEDI, TreeTop, rLiDAR, ForestGapR, and leafR for remote sensing data processing and forest resources monitoring. He is particularly interested in using lidar (light detection and ranging) data, from airborne (ALS), terrestrial (TLS), and satellite platforms, combined with multi- and hyperspectral satellite data, advanced statistical methods and AI to address ecological questions related to forest ecosystem structure, function, and composition dynamics at a variety of spatial scales.