Mr Valtteri Soininen is an emerging researcher in the field of laser-scanning based remote sensing techniques of boreal forests. Valtteri is a BSc majoring in engineering physics and in his MSc studies, he has studied applied mathematics and data engineering. His current interests are in Bayesian statistics and data analysis.

Nuria Sánchez López is a visiting scientist at the Forestry Sciences Laboratory, Rocky Mountain Research Station. She is interested in remote sensing applications for forest monitoring, forest mapping, carbon assessment, and fire modeling. Her research is focused on the development of integrated methods for mapping forest attributes at different spatial scales using remotely sensed data.

Chima is an earth observation scientist with a background in Surveying and Geoinformatics. He obtained his bachelor's degree in the field and further pursued a master's degree in Geospatial and Mapping Sciences from the University of Glasgow. Currently, Chima is a PhD candidate at the University of Bern, where his research focuses on the dynamics of tropical forests in West Africa using cutting-edge remote sensing technologies. His research employs a mixed methods approach, combining qualitative and quantitative methods to gain a comprehensive understanding of the forest ecosystem. Chima's work has been published in reputable journals, and his recent study explores the assessment of disturbance severity in the Ewe-Adakplame Forest, a 560-ha relict forest in Benin, West Africa. Chima's research aims to guide conservation and restoration efforts in these valuable ecosystems by utilizing cutting-edge technologies such as UAV lidar and multispectral data

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.

Henrik Persson is an Associate Professor in Forest Remote Sensing at Swedish University of Agricultural Sciences. He researches radar, optical and laser scanning based remote sensing for forest monitoring and he leads a forest inventory project based on high-resolution laser scanning.

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.