Professor Kangas is a professor of Forest inventory. She made her PhD in 1995 about model-based inference, and has been since then working with methods to deal with auxiliary information in the both design and inference phases of forest inventory. She has about 200 peer-reviewed publications, and also a textbook on forest inventory methods and applications.

Caileigh Shoot is a forest Carbon Analyst for Weyerhaeuser, the largest private forest landowner in the US. Caileigh completed her Masters of Science in the Remote Sensing and Geospatial Analysis Laboratory at the University of Washington in 2018. Caileigh specializes in using data analytics, remote sensing, and GIS to develop high-integrity forest carbon projects.

Dr Neha is an Assistant Research Professor at the University of Maryland (UMD), College Park. She received a PhD from the University of Copenhagen in 2016 on the mapping of tropical forest loss and its spatio-temporal dynamics using radar satellites. At UMD, she coordinates efforts towards the harmonization of space-based forest carbon maps, i.e. the CEOS Biomass Harmonization activity . A core goal of this research is to facilitate the understanding and uptake of such maps by countries for policy reporting within frameworks of the United Nations Framework Convention on Climate Change (UNFCCC).

Ramon Melser is a PhD candidate in the Faculty of Forestry at the University of British Columbia, Canada. His PhD work investigates the integration of multi-source remote sensing products for the development of enhanced carbon dynamics models, with a particular focus on boreal landscapes.

Rosa Maria Di Biase is currently Junior Researcher at the Department of Economics and Statistics of the University of Siena. Her main fields of interest are related to the development of statistical methodologies for solving environmental problems, especially for preserving ecological diversity. In particular, her research activity is focused on sampling strategies, design-based inference, spatial interpolation and spatial map reconstruction in a design-based model-assisted approach, exploiting remote sensing information.