Conference Agenda
Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).
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Agenda Overview | |
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Location: James Cook Bld. 1, main entrance |
| Date: Tuesday, 05/May/2026 | |
| 2:30pm - 4:00pm |
Workshop - User needs, Experiences, Challenges Location: James Cook |
| Date: Wednesday, 06/May/2026 | |
| 10:00am - 11:30am |
Thematic sessions - Sustainability indicators Location: James Cook Climate Extremes and Food Security in Malawi 1: Statistics Norway, Norway; 2: Norwegian Space Agency, Norway Earth Observations and Machine Learning for Gridded Macroeconomic Data International Monetary Fund Earth Observation and AI for Construction Statistics (EO4ConStat): Developing an EO-based Approach for Quality Assessment in Building Statistics 1: Federal Agency for Cartography and Geodesy Germany; 2: Federal Statistical Office Germany; 3: German Aerospace Center Has pasture already peaked in 2000? The first independent global statistical assessment of grassland, livestock association, and change 1: International Institute for Applied Systems Analysis (IIASA); 2: OpenGeoHub Foundation; 3: World Resources Institute; 4: Remote Sensing and GIS Laboratory (LAPIG/UFG) Analysis of Earth Observation Data for Economic Statistics German Federal Statistical Office, Germany From long-term (>30 years) annual ESA CCI / EU C3S global 300 m categorical land use and land cover change maps to an equivalent long-term global annual series of spatially explicit sub-pixel plant functional type fractions informed by 10–30 m EO datasets 1: UCLouvain-Geomatics (Belgium), Belgium; 2: Met Office, UK; 3: LSCE, France; 4: Brockmann Consult Gmbh, Germany; 5: European Space Agency ECSAT, UK Mapping the Unmapped: Integrating Earth Observation and Open Data to Construct Brazil’s National Rural Road Network Brazilian Institute of Geography and Statistics, Brazil |
| 11:45am - 1:15pm |
Thematic sessions - Forest statistics Location: James Cook Integrating EO and ground biomass information through robust statistical techniques: GFOI recommendations for climate policy reporting 1: GFZ Helmholtz Centre for Geosciences, Germany; 2: Departament of Forest Resources, University of Minnesota; 3: European Space Agency; 4: Servicio Forestal y de Fauna Silvestre (SERFOR), Peru The National Satellite Information System for Environmental Indicators and Policy Support Polish Space Agency, Poland Seeing forests clearly: Insights from a Systematic Review of FI-EO Integration 1: GFZ Helmholtz Centre for Geosciences; 2: University of Natural Resources and Life Sciences (BOKU) Harmonized approach for multi-purpose activity data to support AFOLU policies 1: GAF AG, Germany; 2: IGN FI, France; 3: The World Bank Group, USA Deriving policy-relevant Essential Biodiversity Variables from EO multi-modal approach to assess forest condition across ecological gradients 1: University of Milano-Bicocca, Department of Earth and Environmental Sciences, Italy; 2: University of Zurich, Department of Geography, Switzerland; 3: SARMAP sa, Caslano, Switzerland; 4: Climate Action, Sustainability and Science Department, European Space Agency, Frascati, Italy; 5: SERCO for ESA - Climate Action, Sustainability and Science Department, European Space Agency, Frascati, Italy Innovative Restructuring of the FAO FRA 2025 Remote Sensing Survey 1: FAO, Italy; 2: ESF, USA From Land Cover to Land Use: A Remote Sensing–Based Map of Forest Area in Europe DG JRC European Commission, Italy Combining NFI and EO data – alley to success for a reliable European Forest Monitoring System? NIBIO, Norway Unit-level National-scale small-area estimation in Italy geoLAB, - Laboratory of Forest Geomatics, Dept. of Agriculture, Food, Environment and Forestry, Università degli Studi di Firenze, Via San Bonaventura 13, 50145 Firenze, Italy |
| Date: Thursday, 07/May/2026 | |
| 2:30pm - 4:00pm |
Workshop - forest statistics Location: James Cook GFOI R&D Session on integrating EO- and ground-data for enhanced forest-related biomass estimation 1: GFZ Helmholtz Centre for Geosciences; 2: European Space Agency; 3: Food and Agriculture Organization |