Agnese Marcelli is currently a postdoctoral researcher at the Department of Economics and Statistics, University of Siena. Her primary research interests involve developing statistical methodologies to address environmental challenges. Specifically, her work focuses on sampling strategies, design-based inference, spatial interpolation, and spatial map reconstruction within a design-based, model-assisted framework, leveraging remote sensing data.

Dr. Hou is Associate Professor in Forestry Inventory at Beijing Forestry University. He obtained a PhD from the University of Eastern Finland and was a researcher at the University of Minnesota. Dr. Hou is currently leading several projects funded in China and is open to international collaboration. His primary research focus lies in survey sampling with model- and design-based inferences, particularly related to National Forest Inventory and forest management. He employs remote sensing to enhance precision in surveying and monitoring bio- and abiotic variables of interest in the context of climate change. Dr. Hou's publications can be found on ResearchGate: https://www.researchgate.net/profile/Zhengyang-Hou. He is approachable and enjoys networking with new individuals. You can reach out to him at houzhengyang@bjfu.edu.cn or connect with him on WeChat at 13801139774.

Txomin Hermosilla is a remote sensing research scientist with the Canadian Forest Service. He received his Ph.D. in Cartography and Remote Sensing from the Polytechnic University of Valencia (Spain) in 2011. His research focuses on developing methods for mass remotely sensed data processing for mapping and monitoring Canada’s forested ecosystems, including: image compositing, time series analysis, change detection and attribution, land cover and tree species classification, forest age, forest structure and biomass mapping.