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Remote sensing-assisted, model-based inference for forest inventory and climate change applications

Tracks
Breakout 1
Wednesday, September 11, 2024
10:00 AM - 11:30 AM
Main Plenary - Bay Trust Forum

Speaker

Prof Göran Ståhl
Professor
Swedish University of Agricultural Sciences

Assessing uncertainties in Surveys of Forest Resources applying Model-based Inference

10:00 AM - 10:15 AM

Abstract

Biography

Göran Ståhl is a professor of forest inventory at the Swedish University of Agricultural Sciences. His main research interest is cost-efficient forest inventory methods that combines data from several sources.
Dr Agnese Marcelli
Post Doc
University of Siena

An innovative operational strategy for forest attribute mapping and per-pixel error estimation within a design-based statistical approach coupling remote sensing and field data

10:15 AM - 10:30 AM

Abstract

Biography

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 Svetlana Saarela
Researcher
Norwegian University of Life Sciences

Bootstrap-based Methods for Variance estimation within Hierarchical model-based Inference

10:30 AM - 10:45 AM

Abstract

Biography

Dr. Svetlana Saarela defended her doctoral thesis at the University of Helsinki in 2015. Currently, she is employed as a researcher at the Norwegian University of Life Sciences in Ås, Norway. Her main research interest is developing statistical frameworks for forest inventories by combining remotely sensed data from different sensors with field sample data. Since 2018, her primary work for the GEDI mission has been to adapt the hybrid and HMB statistical inference methodologies for the mission’s biomass map product (L4B).
Assoc Prof Zhengyang Hou
Forest Inventory
Beijing Forestry University

Nexus of Certain Model-Based Estimators in Remote Sensing Forest Inventory

10:45 AM - 11:00 AM

Abstract

Biography

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.
Antonio Ferraz
Science Systems Engineer
NASA Jet Propulsion Laboratory

Drivers of Forest Structure and Carbon Variability across the Brazilian Amazon using Airborne Lidar Crown Detection

11:00 AM - 11:15 AM

Abstract

Biography

Scientist at the NASA Jet Propulsion Laboratory and Project Scientist at the Institute of Sustainability and Environment of the University of California, Los Angeles. He earned an M.S.c in Geospatial Engineering from the University of Coimbra in Portugal and a Ph.D. in Geophysics from the Geophysics Institute of Paris, University of Paris Sorbonne, France. He is now the Project Scientist for the NASA Internet of Animals project and a member of multiple NASA Science Teams, including the GEDI Science team, the Biodiversity and Ecological Forecasting, the BioScape campaign, and the NASA Advanced Information System Technology. His main interest is remote sensing of forest structure, diversity, ecology, phenology, disturbance, and carbon mapping. He is interested in integrating habitat characterization with biologically informed data products such as field inventory, bioacoustics, and animal movement, to support policy-making, conservation, and restoration of ecosystems.
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Dr Txomin Hermosilla Gomez
Researcher
Canadian Forest Service

Chairperson

Biography

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.
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