He is a senior research scientist at the National Center For AgroMeteorology, South Korea. He has been building a research career based on the eddy covariance flux measurement technique for surface greenhouse gas emissions at a landscape scale, which is essential in the carbon-neutral era for coping with climate change. He has been working on operating the eddy covariance flux monitoring network covering various agricultural and forest lands in Korea with his colleagues. He has been serving local, regional, and global flux communities, i.e., KoFlux, AsiaFlux, and FLUXNET as a lead scientist, vice chair, and community council member, respectively.

Iris is a doctoral researcher at the Department of Geosciences and Geography, University of Helsinki, Finland, and at the School of GeoSciences, University of Edinburgh, UK. She is currently finalizing her PhD work. Her focus is on remote sensing of boreal forests to improve the understanding of how forest management affects ecological and microclimatological processes in forests.

Introducing Emanuele Papucci, a Ph.D. student at the Swedish University of Agricultural Sciences, who will speak about Mapping the risk for wind and snow damage using NFI field plots and auxiliary remote sensing and weather data.

Giovanni D'Amico currently works at the University of Florence. PhD in Sustainable management of Forestry resources at the University of Florence with a thesis entitled "Application of big data analytics in remote sensing supporting sustainable forest management". The main research interests are related to the use of remote sensing for forestry applications. In particular spatialized estimates of forest variables with remotely sensed data such as satellites, lidar, UAVs

Dr. Wang's research integrates various advanced remote sensing techniques into her multifaceted research. Her work encompasses vegetation dynamics and its response to climate, employing advanced remote sensing methods for time series analysis and spatio-temporal analysis to track land surface vegetation changes across diverse temporal and spatial scales. Furthermore, Dr. Wang investigates the carbon cycle and stock of forest ecosystems, utilizing a fusion of field data and satellite imagery to map litterfall in tropical/subtropical forests in Taiwan. Additionally, her research extends to examining landslide-biomass loss through multi-sensored remote sensing techniques, enhancing understanding of ecosystem dynamics. Recently, her research has focused on subtropical montane cloud forests' resilience to seasonal droughts and typhoon disturbances, revealing heightened vulnerability to drought over typhoons. Despite an observed upward trend in resilience, uncertainties persist regarding future ecosystem responses to intensified extreme events.

Dr. Jody Vogeler is a Research Scientist with the Natural Resources Ecology Laboratory at Colorado State University. Dr. Vogeler's research program aims to advance our understanding of ecosystem dynamics under changing climates and land use patterns using novel remote sensing data fusions and big data analytical approaches across national and international study regions. Her lab specializes in integrating remote sensing data sets with field surveys and other reference data focusing on the intersection of wildlife habitat ecology, carbon dynamics, and human-environmental interactions within changing forest and woodland systems. Within all of their projects, the Vogeler Research Lab works closely with end-user partners to guide development of research goals and spatial decision support tools to contribute to sustainable management planning.

Minkyu Moon joined Kangwon National University as an assistant professor in 2023. Before joining KNU, he was a researcher at Boston University, where he participated in various NASA-funded projects focused on developing and generating land surface phenology datasets at multiple scales, including the MODIS phenology product.