Jia Wen, affiliated with the Institute of Resource Information at the Chinese Academy of Forestry, holds a Ph.D. from the same institution and served as a visiting scholar at the University of British Columbia (UBC) in Canada. Specializing in remote sensing data processing and forestry applications in undulating terrain forest areas, he has led or participated in 7 national-level projects, including the National Natural Science Foundation of China Youth NSFC Project on BRDF Correction of Meter-level Spatial Resolution Airborne Hyperspectral Imagery in Forest Areas. He has conducted numerous aerial integrated remote sensing experiments in typical forest and grassland areas of China. With 29 top-tier academic papers published, including in renowned journals like Remote Sensing of Environment and ISPRS Journal of Photogrammetry and Remote Sensing, he was honored with the "BEST POSTER AWARD" at the 2023 China Ministry of Science and Technology-European Space Agency "Dragon Project" International Academic Conference.

Marta Bottani is a PhD candidate conducting research at the TéSA laboratory in Toulouse (France) in collaboration with the Institut Supérieur de l'Aéronautique et de l'Espace (ISAE Supaero), the Centre National d’Études Spatiales (CNES), and the Centre d'Études Spatiales de la BIOsphère (CESBIO). Her research focuses on forest loss monitoring using multi-frequency RADAR and optical data, with a particular emphasis on developing methods for timely deforestation detection leveraging Bayesian inference via infinite state Markov chains. Marta is excited to share her research insights and exchange ideas with peers in the field at ForestSAT. Passionate about environmental conservation, she is dedicated to advancing forest monitoring techniques to address pressing ecological challenges.

Dr. Michael Förster is a scientist in Vegetation Remote Sensing at the Technical University Berlin. He did his PhD on "„Integration of Geo-Information in Classification Processes of Satellite Imagery for NATURA 2000 Monitoring“. He worked as guest scientist at the University of Utrecht, the Joint Research Centre in Ispra, Italy. His work primarily explores ecosystem dynamics and plant properties through remote sensing data, aiming to develop innovative environmental indicators. He co-organized the last ForestSAT 2022 in Berlin.

Andrew Holdaway has a background in remote sensing and GIS, with experience in monitoring natural features using airborne, satellite and LiDAR data. He is interested in applying emerging geospatial technologies and techniques and is proficient with processing and developing routines that automate the extraction of information to create analysis-ready datasets. This extends to the analysis of satellite time-series to track plantation change such as harvesting, canopy condition decline and building forest descriptions from satellite data. Andrew holds an MSc (first-class honours) from the University of Auckland.

Elia Vangi has a master’s in forest systems sciences and technologies from the University of Florence. His interest includes but is not limited to forest modeling through remote sensing data and spatialization of environmental variables, particularly in growing stock volume trends and the carbon cycle. He completed a Ph.D. in environmental ecology at Molise University, where his main focus was the development of a spatial approach for the high-resolution yearly prediction of forest growing stock volume and above-ground carbon pool. Other interests include the analysis of the new data from the Global Ecosystem Dynamics Investigation (GEDI), an high-resolution laser ranging of Earth’s forests, and topography from the International Space Station (ISS). At the CNR Forest Modeling Lab., he is engaged in the assimilation of remotely sensed and inventory data for the development, implementation, and use of the 3D-CMCC-FEM forest model. He is an enthusiastic R user. ​

Urmas Peterson received his Ph D degree in Geography at University of Tartu, Estonia in 1993. His main research interests have included seasonal and successional reflectance dynamics of young forest communities, factors influencing delineation of forest boundaries on satellite images, changes in cover of emergent macrophytes in large shallow lakes. He is currently performing mapping of yearly forest area changes for National Environmental Agency. He has given lecture courses in Remote Sensing, Spatial Analysis and Environmental Monitoring at Estonian University of Life Sciences and at University of Tartu.

Johannes Rahlf is aresearcher at the Norwegian National Forest Inventory (NFI), with a PhD from the Norwegian University of Life Sciences. He specializes in remote sensing and large-scale mapping of forest resources using both airborne and satellite 3D and optical data. Johannes is particularly interested in incorporating artificial intelligence into remote and proximal sensing for forestry and forest monitoring. As part of NIBIOs SmartForest center, he oversees the project's cloud service, ForestSens.com, facilitating the application of AI algorithms for sensor data processing.

Dr. Alexandra (Sasha) Tyukavina is an Associate Research Professor at the University of Maryland, College Park, USA. Sasha has over a decade of experience in mapping and sample-based estimation of forest disturbance dynamics, regionally and globally. The majority of her work is funded by and supports the Global Forest Watch program. Sasha's most notable research projects include sample-based estimation of forest loss drivers in the tropics and global mapping of forest loss due to fire. She is currently continuing to work on all things sample-based and forest loss-related, and leading a NASA-funded research project characterizing the global hotspots of forest loss using high-resolution data.

Dr. Michael Förster is a scientist in Vegetation Remote Sensing at the Technical University Berlin. He did his PhD on "„Integration of Geo-Information in Classification Processes of Satellite Imagery for NATURA 2000 Monitoring“. He worked as guest scientist at the University of Utrecht, the Joint Research Centre in Ispra, Italy. His work primarily explores ecosystem dynamics and plant properties through remote sensing data, aiming to develop innovative environmental indicators. He co-organized the last ForestSAT 2022 in Berlin.