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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Daily Overview |
| 8:15am - 9:30am |
Registration and welcome coffee Location: Externat Tent |
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| 9:30am - 10:30am |
Introduction to the conference - welcome and high-level opening Location: Big Hall Chair: Giuseppe Ottavianelli |
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| 10:30am - 10:45am |
Coffee break Location: Externat Tent |
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| 10:45am - 11:45am |
Plenary session - Earth Observation for official statistics Location: Big Hall Chair: Márta Nagy-RothengassStreamlining of reporting requirements across EU policies for reduction of the reporting burden, and integration of Earth Observation (EO) in official statistics 1: EUROPEAN COMMISSION, Belgium; 2: Arcadia SIT s.r.l., for the Joint Research Centre, European Commission; 3: Independent Consultant 11:05am - 11:25am Earth Observation for Statistics (EO4S) in EUROSTAT 1: European Commission DG EUROSTAT, Luxembourg; 2: Sword Group 11:25am - 11:45am Earth Observation Support to Nature Policies European Environment Agency |
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| 11:45am - 12:15pm |
Coffee break Location: Externat Tent |
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| 12:15pm - 1:30pm |
From Pilots to Operations: Earth Observation for Official Agricultural Statistics Location: Big Hall Chair: Valérie BizierSophie Bontemps (UCL) Zoltan Szantoi (ESA) Ousmane Sylla (DAPSA Senegal) Raphaël D’Andrimont (DG AGRI) |
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| 1:30pm - 2:30pm |
Lunch break Location: Canteen |
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| 2:30pm - 4:00pm |
Workshop - User needs, Experiences, Challenges Location: Big Hall Chairs: Sebastian Marcu and Rolf Maier Bode |
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| 4:00pm - 4:30pm |
Coffee break Location: Externat Tent |
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| 4:30pm - 5:40pm |
Thematic sessions - Agriculture I Location: Big Hall Chairs: Zoltan Szantoi and Katja BergerCross-border cropland indicators and field-scale rice system mapping from multi-sensor Earth observation in the Senegal River Valley 1: German Aerospace Center, Germany; 2: Instute for Geography and Geology, University of Wuerzburg 4:40pm - 4:50pm Comparison and Independent Validation of Global High-resolution Remote Sensing Cropland Extent Products 1: Digital FAO and Agro-Informatics Division, Food and Agriculture Organization of the United Nations; 2: Statistics Division, Food and Agriculture Organization of the United Nations; 3: Land and Water Division, Food and Agriculture Organization of the United Nations 4:50pm - 5:00pm Copernicus4GEOGLAM Service to support Food Security – A standardised approach for crop type area estimation and mapping 1: GAF AG, Germany; 2: VITO, Belgium; 3: TerraSphere, The Netherlands; 4: VH Consultores, Mozambique; 5: GISBOX, Romania; 6: Seidor S.A., Spain under contract with the European Commission, JRC, Ispra (VA), Italy; 7: European Commission, Joint Research Centre, Ispra, Italy 5:00pm - 5:10pm Comparing Earth Observation and Traditional Survey Approaches for Estimating Rice Harvested Area: A Case Study from Indonesia BPS Statistics Indonesia, Indonesia 5:10pm - 5:20pm Operational Crop Mapping at Scale: How ESA WorldCereal Supports Agricultural Statistics 1: VITO, Belgium; 2: WUR, Netherlands; 3: IIASA, Austria; 4: University of Strassbourg, France; 5: University of Valencia, Spain; 6: GISAT, Czech Republic; 7: GEOGLAM Secretariat, Switzerland; 8: European Space Agency, Italy 5:20pm - 5:30pm Mapping minor and mixed crops in Zambia and Zimbabwe using ESA WorldCereal crop classification system 1: International Maize and Wheat Improvement Center (CIMMYT); 2: University of Strasbourg, France; 3: VITO, Belgium; 4: International Institute for Applied Systems Analysis, Austria; 5: University of Maryland, College Park, USA; 6: European Space Agency 5:30pm - 5:40pm Importance of In Situ data for EO integration in agricultural statistics: requirements and opportunities 1: UCLouvain, Belgium; 2: FAO |
Thematic sessions - People & Urban areas Location: Magellan Chairs: Francesca Elisa Leonelli and Taeke GjaltemaHarnessing EO and census data for subnational risk analyses of environmental hazards Organisation for Economic Co-operation and Development (OECD), France 4:40pm - 4:50pm Mapping Urban Realities: Integrating Citizen Science and Earth Observation for the UMF 1: International Institute for Applied Systems Analysis (IIASA), Laxenburg, Austria; 2: Citizen Science Global Partnership (CSGP), Laxenbug, Austria; 3: The Bartlett Centre for Advanced Spatial Analysis (CASA), University College London, London, United Kingdom; 4: UN-Habitat (United Nations Human Settlements Programme), Nairobi, Kenya 4:50pm - 5:00pm Spatial Indicators of Soil Sealing for Environmental Monitoring in the Mediterranean: The Ulysses Med Land Approach Planetek Italia 5:00pm - 5:10pm Yearly Urban Tree Canopy and Urban Green Space Coverage Indicators for Germany from Sentinel-2: An Operational Workflow for Deriving Indicators for the EU Nature Restoration Regulation Luftbild Umwelt Planung, Germany 5:10pm - 5:20pm Integrating Earth Observation and Statistical Data through Location-Based Frameworks 1: U.S. Census Bureau; 2: European Commission Joint Research Centre; 3: United Nations 5:20pm - 5:30pm A multiscale demand analysis applied to urban cultural ecosystem services: an application in Hannover, Braunschweig (Germany); Milan, Naples (Italy) Leibniz University Hannover, Italy 5:30pm - 5:40pm The LULUCF Data Hub: regional- and national-level discrepancies between independent global datasets and national GHG inventories – insights from country examples on the use of EO 1: European Commission Joint Research Centre (JRC), Italy; 2: Université de Bordeaux, France; 3: CSIRO, Canberra, Australia; 4: Institute for Global Environmental Strategies, IGES, Hayama, Japan; 5: Faculty of Environment, Science and Economy, University of Exeter, Exeter, UK; 6: Laboratoire de Météorologie Dynamique, Institut Pierre-Simon Laplace, CNRS, École Normale Supérieure, Université PSL, Sorbonne Université, École Polytechnique, Paris, France; 7: World Resources Institute, Washington DC, USA; 8: GFZ Helmholtz Centre for Geosciences, Potsdam, Germany; 9: School of Geographical Sciences, University of Bristol, UK; 10: CICERO Center for International Climate Research, Oslo, Norway; 11: Department of Geography, Ludwig-Maximilians-Universität München, Munich, Germany; 12: Max Planck Institute for Meteorology, Hamburg, Germany; 13: Basque Centre for Climate Change (BC3), Bilbao, Spain; 14: Ikerbasque Foundation, Euskadi Pl., 5, 48009 Bilbao, Spain |
Hands-on demos Location: Uliveto meeting room A Synergies between automated EO image analysis and in-situ observations for area estimation Université catholique de Louvain, Belgium |
Hands-on demos Location: Uliveto meeting room C Standardised and Scalable EO Workflows using openEO offered by Copernicus Data Space Ecosystem VITO, Belgium |
Hands-on demos Location: Science Hub Leveraging the APEx Solutions for EO-based statistics: Execute, Analyse and Visualise 1: VITO, Belgium; 2: Sparkgeo, UK |
| 5:40pm - 6:10pm |
Workshop reporting to plenary Location: Big Hall |
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| 6:10pm - 7:40pm |
Welcome drink and POSTER SESSION 1 Location: Externat Tent Integrating Multi-Sensor Earth Observation Data for Coastal Change Indicators and Sea-Level Rise Scenarios: A Case Study from Northern Egypt 1: Science, Applications & Climate Department, European Space Agency (ESA-ESRIN), Frascati, Italy; 2: African Research Fellow; 3: Geology department, Faculty of Science, Port Said University, 42522 Port Said, Egypt; 4: Environmental Sciences Department, Faculty of Science, Port Said University, Port Said 42522, Egypt AgriGuard: A Regional EO-Based Platform for Agriculture and Hazard Monitoring in Support of Policy and Early-Warning Applications Food and Agriculture Organization of the United Nations (FAO), Italy Hydro-Climatic Drivers of SAR Backscatter in Vineyards to Support Agricultural Statistics 1: Department of Electrical, Computer, Biomedical Engineering, University of Pavia, Pavia, Italy; 2: Microwave Remote Sensing Lab (MRSLab), Centre of Studies in Resources Engineering, Indian Institute of Technology Bombay, Mumbai, India; 3: Department of Engineering, University of Naples Parthenope, Naples, Italy; 4: Department of Information Engineering, Electronics and Telecommunications, Sapienza University of Rome, Rome, Italy EO-assisted estimation enhances the precision of National Forest Inventory indicators, also in a data-poor context 1: Laboratory of Geo-Information Science and Remote Sensing, Wageningen University & Research, the Netherlands; 2: Sustainable Forest Ecosystems, Wageningen Environmental Research, the Netherlands; 3: Forest Ecology and Forest Management Group, Wageningen University & Research, the Netherlands AI-Powered Web-GIS Platform for EO-Based Transport Infrastructure Monitoring and Risk Management 1: TITAN4 S.r.l., Via dell’Arte 19, 00144 Rome, Italy; 2: Department of Earth Science, University of Roma Tre, Via Ostiense, 133, 00154 Rome, Italy; 3: Istituto Superiore per la Protezione e la Ricerca Ambientale (ISPRA), Via Vitaliano Brancati, 48, 00144 Rome, Italy; 4: • University of Rome Sapienza, P.le Aldo Moro, 00185 Roma & TITAN4, Via dell'Arte 19, 00144 Roma Enhancing Earth Observation to Track Progress Towards the Global Goal on Adaptation 1: ESA, United Kingdom; 2: Australian Centre for Human Evolution, Griffith University, Brisbane, QLD, Australia; 3: National Aeronautics and Space Administration, Washington, D.C., USA; 4: various Biodiversity Carbon Farming Index (BCFI) - EO-driven Monitoring, Reporting, and Verification (MRV) for Supporting Policy and GHG Inventories 1: EOX IT Services, Austria; 2: PRO-NATURE Nature Conservation, Austria Natural Capital Solutions Platform: Scaling EO-Driven Ecosystem Metrics 1: EOX IT Services, Austria; 2: PRO-NATURE Nature Conservation NGO, Austria Improving forest monitoring and management with fine-scale maps of forest parameters at the EU and global scale 1: Flemish Institute for Technological Research; 2: International Institute for Applied Systems Analysis; 3: Technical University of Munich; 4: European Forest Institute; 5: Johann Heinrich von Thünen-Institut; 6: Agency for Nature and Forests; 7: Wageningen Environmental Research; 8: Stichting Probos Fusing LEO and GEO observations for agricultural monitoring 1: Φ-lab, European Space Agency (ESA), ESRIN, Via Galileo Galilei, Frascati, Italy; 2: Co2 Angels, Cluj-Napoca, Romani Enabling Agentic capabilities in Earth Observation using EVE – applications in the EO Dashboard and drought monitoring 1: European Space Agency, Φ-Lab, Frascati, Italy; 2: North Carolina State University; 3: European Space Agency, Frascati, Italy An ensemble-based approach for continuous monitoring and attribution of vegetation loss agents at regional to national scale using Landsat imagery Aristotle University of Thessaloniki, Greece Leveraging citizen science, Earth Observation, and AI for plastic litter to inform official statistics, SDG reporting, and policy development 1: International Institute for Applied Systems Analysis (IIASA); 2: SciDrones; 3: Ghana Statistical Service (GSS); 4: Sustainable Development Solutions Network (SDSN) Building Data from High-Resolution Images Statistics Portugal, Portugal Monitoring Forest Condition and Disturbance with Sentinel-1 SAR: Indicators for Environmental Reporting 1: Department of Geoinformatics—Z_GIS, University of Salzburg, 5020, Salzburg, Austria; 2: Department of Applied Geoinformatics and Cartography, Charles University, Albertov 6, 128 43, Prague 2, Czech Republic EO-based Grassland Production Index for estimating drought related yield losses: development in mountain environment and current challenges 1: Eurac Research, Institute of Earth Observation, Bolzano, Italy; 2: Eurac Research, terraxcube, Bolzano, Italy; 3: Eurac Research, Center for Climate Change and Transformation, Bolzano, Italy terrAIntel: Enabling Thematic Earth Observation Data Exploitation through Natural Language Interfaces and Cloud-Native Workflows 1: GeoVille, Austria; 2: cortecs, Austria Evaluating Deep Learning based Building Damage Assessment Methods in earthquake-affected, densely built-up urban areas: The case of Kahramanmaraş OECD, Paris EO and Spatial Modeling for Urban Climate Risk Assessment in Eight African Cities 1: FAO; 2: Sapienza Università di Roma; 3: S[&]T Italy Mapping Urban Trees from Space to support EU Green policies and SDGs CLS, France From public geodata to a multi-dimensional 3d cadastre - a legal-environmental Digital City Twin Concept for Krakow University of Agriculture in Krakow, Poland Earth Observation for Statistics (EO4S) in EUROSTAT 1: European Commission DG EUROSTAT, Luxembourg; 2: Sword Group How Earth Observation facilitates the extensive monitoring of woody landscape features and their ecosystem functions 1: German Aerospace Center (DLR), Germany; 2: Julius-Maximilians-Universität Würzburg, Germany; 3: Bayerisches Landesamt für Umwelt (LfU), Germany A predictive model of GDP composition by sector NILU, Norway High-resolution global land cover maps for national-scale area change estimation and reporting: case study for Uganda 1: GFZ Helmholtz Centre for Geosciences, Germany; 2: Wageningen University & Research High-resolution global land cover maps for national-scale area change estimation and reporting: case study for Uganda 1: GFZ Helmholtz Centre for Geosciences, Germany; 2: Wageningen University & Research A Comprehensive Framework for Scalable and Cost-Effective Crop Monitoring: Leveraging Parcel Segmentation and Satellite Image Time-Series. 1: Brazilian Institute of Geography and Statistics, Brazil; 2: Federal University of Viçosa, Brazil; 3: University of Sheffield, UK SITS-ORDER: Discriminative Error Retrieval for Robust Crop Classification in the US and Brazil 1: Brazilian Institute of Geography and Statistics, Brazil; 2: Federal University of Viçosa, Brazil; 3: University of Sheffield, UK Can remote sensing support biodiversity certification ? Université catholique de Louvain, Belgium Assessing Urban Expansion using Copernicus Data Space Ecosystem Data & APIs Sinergise Solutions GmbH, Austria Operational reporting of SDG 14.1.1 indicator in Portugal and Cape Verde based on CMEMS data Indra Space, Portugal Scalable ecosystem indicators on the Baltic GTIF Dashboard 1: EOX IT Services GmbH, Austria; 2: National Paying Agency Luthiania (NPA) SDG 15.4.2 Mountain Green Cover-indicator for Finland Finnish Environment Institute, Finland Operational Earth Observation for Wildfire Damage Assessment in Olive Groves: An Integrated Court–Agency Case Study from the Mediterranean Region Ministry of Agriculture and Forestry, Aliağa District Directorate, Turkiye Development of past and present annual winter wheat yield statistics at the level of administrative districts (“raions”) in South European Russia based on statistical modelling and large scale EO data 1: FSBIS Federal Research Centre The Southern Scientific Centre of The Russian Academy of Sciences, Russia; 2: Tsnghua University Optimizing Crowdsourced Training Samples for Large-Scale Crop Mapping 1: The Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing, China; 2: Wageningen Environmental Research, Wageningen University and Research, Wageningen, The Netherlands |
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| 8:45am - 9:00am |
Welcome coffee |
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| 9:00am - 9:45am |
Plenary session: the EU Copernicus programme Location: Big Hall
Chair: Marc Paganini |
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| 9:45am - 10:00am |
Coffee break Location: Externat Tent |
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| 10:00am - 11:30am |
Thematic sessions - SDGs and environmental policies Location: Big Hall Chairs: Marc Paganini and Mónica Miguel LagoHigh Resolution Land Degradation Neutrality Monitoring – Achievements of the ESA SEN4LDN Project 1: VITO, Belgium; 2: Lund University, Sweden; 3: GFZ, Germany; 4: Wageningen University & Research, The Netherlands; 5: Conservation International, USA; 6: ESA-ESRIN, Italy 10:10am - 10:20am Using EO data for policy-relevant indicators in global environmental frameworks OECD, France 10:20am - 10:30am Monitoring Climate Change Adaptation using Earth Observation ESA, United Kingdom 10:30am - 10:40am Remote Sensing-Based Estimation of Internal Renewable Water Resources: A global alternative to country statistics derived from ground-based hydrological estimates Food and Agriculture Organization of the United Nations, 00153 Rome, Italy 10:40am - 10:50am Validation of commodity prediction models to support the implementation of EUDR by EU Member states 1: TerraSphere, Netherlands, The; 2: GAF, Germany 10:50am - 11:00am Towards a standardised baseline methodology to support the EU carbon farming certification in agricultural mineral soils 1: Joint Research Centre, European Commission, Italy; 2: European Dynamics, Luxembourg; 3: Unisystems, Luxembourg; 4: Wageningen University and Research, Netherlands; 5: Universite Catholique de Louvain, Belgium; 6: University of Toulouse, France; 7: Ecole Normale Superiere (ENS), France; 8: University of Basilicata, Italy 11:00am - 11:10am EO4Nature: From Earth Observation time series to statistics-ready indicators for nature-based climate action 1: Luftbild Umwelt Planung GmbH, Germany; 2: German Space Agency at DLR 11:10am - 11:20am A framework for global ensemble land cover mapping at 30 m resolution (2000–2024) 1: OpenGeoHub Foundation, Doorwerth, The Netherlands; 2: Center for Agribusiness Studies, Fundação Getúlio Vargas (FGV Agro), São Paulo, Brazil 11:20am - 11:30am ESA Coastal Blue Carbon : new products for seagrass and coastal wetlands conservation, restoration, and climate action. Achievements and perspectives. 1: i-Sea, France; 2: BlueSeeds, France; 3: CEAB-CSIC, Spain; 4: IRD, France; 5: Simon Fraser University, Canada; 6: La Rochelle University, France; 7: ESA, Italy |
Thematic sessions - Agriculture II Location: Magellan Chairs: Sophie Bontemps and Zacharias KandylaisIntegrating Earth observation and statistics across the agricultural policy cycle 1: GFZ Helmholtz Centre for Geosciences, Potsdam, Germany; 2: Luxembourg Institute of Science and Technology (LIST), Remote Sensing and Natural Resources Modelling Group, Belvaux, Luxembourg; 3: German Aerospace Center (DLR), Space Research Division, Cologne, Germany; 4: Directorate of Earth Observation Programmes, European Space Agency (ESA), Frascati RM, Italy; 5: Department of Geography and Environmental Studies, Stellenbosch University (SU), Matieland, Stellenbosch, South Africa 10:10am - 10:20am Supporting Policy and (National) Agricultural Statistics with Copernicus Annual High-Resolution Cropland Layers 1: VITO, Belgium; 2: GAF AG, Germany; 3: EEA, Denmark 10:20am - 10:30am Agriculture Statistics European Commission DG EUROSTAT, Luxembourg 10:30am - 10:40am Earth Observation for Agriculture Statistics (technical) 1: European Commission DG EUROSTAT, Luxembourg; 2: Sword Group 10:40am - 10:50am Overcoming interoperability challenges of crop area reported by farmer declarations, agricultural census, and Copernicus Earth Observation 1: ARHS Developments, Luxembourg (Consultant with the European Commission, Joint Research Center (JRC), Ispra, Italy); 2: European Commission, Joint Research Centre (JRC), 21027 Ispra (VA), Italy; 3: SEIDOR Consulting S.L., 08500 Barcelona, Spain (Consultant with the European Commission, Joint Research Center (JRC), Ispra, Italy); 4: European Commission, Eurostat, Luxembourg; 5: International Institute for Applied Systems Analysis, 2361 Laxenburg, Austria 10:50am - 11:00am Ten Years to Cross the Threshold: When Sentinel-2 Finally Enabled Crop-Specific Monitoring 1: Joint Research Centre (JRC), European Commission; 2: Centro Nacional de Inteligencia Artificial (CENIA) 11:00am - 11:10am From space to policy: exploiting Copernicus data to evaluate agricultural policies European Commission, Joint Research Centre, Italy 11:10am - 11:20am Monitoring Crop Diversity Across the EU from Space: New Copernicus Insights for Agricultural Policy 1: DG Agriculture & Rural Development (DG AGRI), European Commission, Brussels, Belgium; 2: Joint Research Centre (JRC) , European Commission, Ispra, Italy; 3: Joint Research Centre (JRC) , European Commission, Seville, Spain 11:20am - 11:30am Mapping 30 years of agricultural land use in Germany 1: Thünen Institut, Germany; 2: Universität Greifswald, Germany |
Thematic sessions - Sustainability indicators Location: James Cook Chairs: Grazia Zulian and Eleonora De FalcisClimate Extremes and Food Security in Malawi 1: Statistics Norway, Norway; 2: Norwegian Space Agency, Norway 10:10am - 10:20am Earth Observations and Machine Learning for Gridded Macroeconomic Data International Monetary Fund 10:20am - 10:30am Analysis of Earth Observation Data for Economic Statistics German Federal Statistical Office, Germany 10:30am - 10:40am 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 10:40am - 10:50am 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) 10:50am - 11:00am 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 11:00am - 11:10am Mapping the Unmapped: Integrating Earth Observation and Open Data to Construct Brazil’s National Rural Road Network Brazilian Institute of Geography and Statistics, Brazil |
| Hands-on demos Location: Uliveto meeting room A Gaining Insights into Sentinel imagery using the Sentinel Hub Statistical API in Copernicus Data Space Ecosystem Sinergise Solutions GmbH, Austria |
Hands-on demos Location: Science Hub Using ARIES for SEEA to support Ecosystem Service Accounting and reporting on Global Biodiversity Framework Headline Indicator B.1: A capacity building workshop 1: Basque Centre for Climate Change (BC3), Bizkaia, Spain; 2: United Nations Statistics Division (UNSD), New York |
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| 11:30am - 11:45am |
Coffee break Location: Externat Tent |
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| 11:45am - 1:30pm |
Thematic sessions - Environmental Accounting Location: Big Hall Chairs: Federica Marando and Steven KingEarth Observation Roadmap for Ecosystem Services Accounting in the EU European Commission - Joint Research Centre, Italy 11:55am - 12:05pm World Ecosystem Extent Dynamics, a toolbox for countries to report on SEEA-EA accounts and GBF Headline indicator A.2 1: VITO, Belgium; 2: BC3 Research, Spain; 3: IDIV, Germany; 4: University of Bonn, Germany; 5: IIASA, Austria; 6: ESA ESRIN, Italy 12:05pm - 12:15pm Peatland mapping using Sentinel-2 in Ireland - a use case in Ecosystem Accounting Central Statistics Office, Ireland 12:15pm - 12:25pm Ecosystem Service Accounting - Compatibility Assessment Tool (ESA-CAT) standardized reporting system 1: Joint Reseach Centre, Italy; 2: European Dynamics SA, Italy 12:25pm - 12:35pm Accounting for Nature: EO-Derived Biodiversity Metric for Green National Income 1: Assimila, United Kingdom; 2: University of Copenhagen, Denmark 12:35pm - 12:45pm Integrating Earth Observation into Official Statistics: The German Ecosystem Accounts Federal Statistical Office Germany 12:45pm - 12:55pm From Sentinel to national Land Cover mapping to Ecosystem Accounting: A roadmap for integrating Earth Observation data into official statistics for Environmental-Economic Accounting Statistics Austria, Austria 12:55pm - 1:05pm Data foundation for the next-generation EU ecosystem mapping product European Environment Agency, Denmark |
Thematic sessions - Agriculture III Location: Magellan Chairs: Martin Claverie and Raphael d'AndrimontGAIG-Embeddings: A Multi-Modal Spatiotemporal Foundation Model for Agroecosystem Intelligence – Insights from Canadian Prairies 1: Department of Plant Sciences, College of Agriculture and Bioresources, University of Saskatchewan, Canada; 2: Nutrien Centre for Sustainable and Digital Agriculture, College of Agriculture and Bioresources, University of Saskatchewan, Canada; 3: Centre d'applications et de recherches en télédétection (CARTEL), Département de géomatique appliquée, Université de Sherbrooke, Canada 11:55am - 12:05pm Earth Observation-Based Detection of Crop-Residues for Official Statistics in Sweden 1: RISE Research Institutes of Sweden, Sweden; 2: University of Stockholm, Sweden; 3: Statistics Sweden (Statistiska centralbyrån, SCB), Sweden 12:05pm - 12:15pm Sentinel-2 Based Estimation of Crop Yields for Official Statistics in Germany Hesse Statistical Office, Germany 12:15pm - 12:25pm Monitoring soil management dynamics in European arable systems with Sentinel-1&2 1: Wageningen University, the Netherlands; 2: University of Bonn, Germany; 3: University of Twente, the Netherlands 12:25pm - 12:35pm EO and agrometeorological data-driven crop yield forecasting at national and sub-national scales 1: Joint Research Centre, Italy; 2: Image Processing Laboratory (IPL) - Universitat de València; 3: Global Information and Early Warning System on Food and Agriculture (GIEWS), Food and Agriculture Organization (FAO) 12:35pm - 12:45pm Grassland Monitoring for Official Statistics Using Satellite Data. Central Statistical Bureau of Latvia, Latvia 12:45pm - 12:55pm YPSGlobe – one-stop high-resolution yield prediction for the Globe Vista GmbH, Germany 12:55pm - 1:05pm Mapping grassland age at a national scale using multidecadal satellite time series 1: Thünen Institute of Farm Economics; 2: Humboldt-Universität zu Berlin, Geography Department; 3: Humboldt-Universität zu Berlin, Integrative Research Institute of Transformations of Human-Environment Systems 1:05pm - 1:15pm Seasons in the Algorithm: Error-Driven Insights into Winter and Spring Crop Classification: An Exploratory Study by Statistics Portugal Statistics Portugal, Portugal |
Thematic sessions - Forest statistics Location: James Cook Chairs: Neha Hunka and Rene ColditzIntegrating 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 11:55am - 12:05pm The National Satellite Information System for Environmental Indicators and Policy Support Polish Space Agency, Poland 12:05pm - 12:15pm 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) 12:15pm - 12:25pm 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 12:25pm - 12:35pm 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 12:35pm - 12:45pm Innovative Restructuring of the FAO FRA 2025 Remote Sensing Survey 1: FAO, Italy; 2: ESF, USA 12:45pm - 12:55pm From Land Cover to Land Use: A Remote Sensing–Based Map of Forest Area in Europe DG JRC European Commission, Italy 12:55pm - 1:05pm Combining NFI and EO data – alley to success for a reliable European Forest Monitoring System? NIBIO, Norway 1:05pm - 1:15pm 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 |
| Hands-on demos Location: Uliveto meeting room A Integrating Small Landscape Features (HRL-SLF) into Land monitoring indicators - spatially aggregated statistics for policy support. 1: European Environment Agency, Denmark; 2: CLS Group |
Hands-on demos Location: Uliveto meeting room C Using Openly Available FAIR Science with EarthCODE 1: Lampata, United Kingdom; 2: ESA, Italy; 3: Serco, Italy |
Hands-on demos Location: Science Hub SDGs-EYES Platform for SDG Monitoring 1: European Association of Remote Sensing Companies (EARSC), Belgium; 2: Euro-Mediterranean Centre for Climate Change (CMCC); 3: Italian National Institute of Statistics; 4: SISTEMA /MEEO |
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| 1:30pm - 2:30pm |
Lunch break Location: Canteen |
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| 2:30pm - 4:00pm |
Thematic sessions - Land Use/Land Cover Location: Big Hall Chairs: Marijn van der Velde and Márta Nagy-RothengassGeneralising Earth Observation AI/ML pipelines for European statistics Statistics Netherlands (CBS) 2:40pm - 2:50pm Strengthening Land Cover Validation: From Community Guidelines to Supporting (Sub)National Applications 1: Laboratory of Geo-Information Science and Remote Sensing, Wageningen University & Research, the Netherlands; 2: Committee on Earth Observation Satellites, Land Product Validation sub-group; 3: University of Maryland, Maryland, the USA; 4: College of Marine Geosciences, Ocean University of China, Qingdao, China; 5: Section 1.4 Remote Sensing and Geoinformatics, Deutsches GeoForschungsZentrum, Potsdam, Germany; 6: World Resources Insititute, the Hague, Netherlands 2:50pm - 3:00pm Very High-Resolution Land Cover Mapping: A Reusable Pipeline for Official Statistics. 1: Italian National Institute of Statistics (ISTAT), Italy; 2: National Institute of Geographic and Forest Information (IGN), France; 3: Statistics Denmark (Danmarks Statistik),Denmark; 4: Statistics Austria (Statistik Austria),Austria 3:00pm - 3:10pm The Copernicus LCFM Service: Next-Generation Global Land Cover at 10 m Resolution 1: VITO - Flemish Institute for Technological Research, Belgium; 2: IIASA - International Institute for Applied Systems Analysis, Austria; 3: IGNFI - Geographic engineering and spatial information consultancy, France; 4: JRC - Joint Research Centre (European Commission), Italy 3:10pm - 3:20pm Developing Land Use and Land Cover Statistics with Earth Observation - Statistics Portugal experience Statistics Portugal, Portugal 3:20pm - 3:30pm Challenges in the Validation of Land Use and Land Cover Change Maps 1: IIASA, Austria; 2: VITO, Belgium; 3: IGNFI, France; 4: Google DeepMind, Switzerland 3:30pm - 3:40pm Artificial Intelligence for Reliable Land Use Statistics: Opportunities and Challenges from Switzerland Federal Statistical Office, Switzerland 3:40pm - 3:50pm Statistical calibration of land cover changes in CLMS CLCplus Backbone time-series 1: GAF AG, Arnulfstr. 199, 80634 Munich, Germany; 2: GeoVille GmbH, Sparkassenplatz 2, 6020 Innsbruck, Austria; 3: European Environment Agency, Kongens Nytorv 6, 1050 Copenhagen, Denmark 3:50pm - 4:00pm Standardised Reference Data Framework for Global Crop Mapping and Agricultural Statistics 1: Wageningen Environmental Research, Wageningen University & Research, Wageningen, Netherlands; 2: Vlaamse Instelling Technologisch Onderzoek (VITO), Mol, Belgium; 3: Global Change Unit, Image Processing Laboratory, Universitat de València, 46980 València, Spain; 4: International Institute for Applied Systems Analysis (IIASA), Laxenburg, Austria; 5: GEOGLAM Secretariat 7 bis Avenue de la Paix, 1211 Geneva, Switzerland |
Thematic sessions - Emissions and air quality Location: Magellan Chairs: Antony Delavois and Mikael MaesAssessing Air Quality in Nigerian States Using a Bayesian Hierarchical Environmetrics Model 1: Abiola Ajimobi Technical University, Ibadan, Nigeria; 2: Abiola Ajimobi Technical University, Ibadan, Nigeria; 3: University of Ibadan, Ibadan, Nigeria 2:40pm - 2:50pm LULC time series for GHG reporting: the case of Wallonia (Belgium) Université catholique de Louvain, Belgium 2:50pm - 3:00pm Operational integration of satellite Earth Observation and eddy covariance data to support carbon flux monitoring continuity and management event detection in Irish grasslands 1: Geography, School of Natural Sciences, Trinity College Dublin, Ireland; 2: Botany, School of Natural Sciences, Trinity College Dublin, Dublin, Ireland 3:00pm - 3:10pm From Demonstrator to Service: Operational Integration of High-Resolution Methane EO into European Statistical Workflows ABSOLUT SENSING, France 3:10pm - 3:20pm Quantifying Forecast Uncertainty in EO-Derived Deforestation Baselines for Carbon Accounting 1: Food and Agriculture Organization of the United Nations, Italy; 2: SUNY College of Environmental Science and Forestry, US 3:20pm - 3:30pm Integrating Satellite-Based Facility-Level Methane Emissions Data into National GHG Inventories: The UK InCubed Greenhouse Gas Emissions Watch Service GHGSat, United Kingdom |
Hands-on demos Location: Uliveto meeting room A The FAO Agro-informatics platform: integration of STAC and OpenEO to support agricultural statistics FAO, Italy |
| Hands-on demos Location: Uliveto meeting room C Geo-Quest and WorldCereal: From in-situ data to EO-driven crop maps 1: IIASA, Austria; 2: WUR, Netherlands; 3: VITO, Belgium |
Hands-on demos Location: Science Hub Sen4Stat : an open-source toolbox leveraging satellite Earth Observation to improve agriculture statistics UCLouvain, Belgium From Toolbox to Services: Cloudification of the Sen4CAP and Sen4Stat Processors CS GROUP - ROMANIA, Romania |
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| 4:00pm - 4:15pm |
Coffee break Location: Externat Tent |
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| 4:15pm - 5:15pm |
Plenary session - Thematic sessions wrap-up Location: Big Hall |
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| 5:15pm - 7:00pm |
POSTER SESSION 2 with drink Location: Externat Tent Developing Policy-Relevant Mangrove Statistics from EO: Results from the GDA Marine Activity in Cambodia, Ecuador and Guinea-Bissau Planetek Italia Leveraging Remote Sensing for Enhanced Irrigation Performance Assessments in Data-Limited and Water-Scarce Regions Northern Jordan Valley as a Case Study IWMI, Jordan, Hashemite Kingdom of A Deep Learning Framework for Land Use Land Cover Change Forecasting in the Brazilian Amazon 1: Φ-lab ESA/ESRIN, Italy; 2: IUSS Pavia Earth Observation and irrigation water accounting from the field to the regional scale: operational support to sustainable management of irrigation water resources. 1: University of Naples Federico II, Italy; 2: Ariespace srl, Spin off company University of Naples Federico II The Use of Satellite Technologies in Mapping Flood Extent and Analysis of Its Impact on the Availability of Ambulances in Flood Areas 1: AGH University, Faculty of Space Technologies; 2: AGH University, Faculty of Geology, Geophysics and Environmental Protection Assessing the Potential of Satellite Data to Improve Agricultural Statistics in Spain 1: UCLouvain, Belgium; 2: Ministry of Agriculture, Fisheries and Food, Spain An EO and Economic Data Framework for Estimating the Magnitude and Spatial Distribution of Informal Trade (Bazaar) in Central Asia Planetek Italia Large-scale detection of land-use transitions using multi-temporal satellite data and deep learning Wageningen University and Research, Netherlands, The Integrating Earth Observation and Survey Data for Bias-Corrected Crop Area Estimation: An Operational Framework Using Sentinel and LUCAS Data TERMA, EUMETSAT, Germany Flood risk and security prices JRC, Italy Integrating Pollutant registers for the climate change risk evaluation of industrial companies in Australia, Europe and North America JRC, Italy Wildforest Urban Interface and Earth Observation role on policy implementation Institute Cartographic and Geological of Catalonia, Spain Geospatial Tools for Green Finance: Supporting Sustainable Project Selection and Impact Measurements Space4Good, Netherlands, The Urban Area Mapping and Assessment Using Earth Observation and AI: Methods and a Case Study from Arequipa, Peru 1: CloudFerro S.A., Poland; 2: University of Warsaw, Poland Monitoring of SDG 6 indicators in Portugal and Denmark with EO-based algorithms 1: DHI, Denmark; 2: Indra Space, Portugal; 3: AIR Centre, Portugal From Spectral Signals to Harmonized Statistics: Upscaling Sentinel-2 Yield Stability for Regional Reporting Institute of Landscape Ecology, Slovak Academy of Sciences, Slovak Republic Training Sample Migration for Temporal Cropland Mapping in Central Asia Food and Agriculture Organization of the United Nations, Italy EO-based detection of disturbance in grasslands and small landscape elements to support environmental policy enforcement 1: VITO, Unit Environmental Intelligence, Group Remote Sensing; 2: ANB (Agency of Nature and Forest), Group Nature inspection; 3: DV (Agency Digital Flanders), Group Earth Observation Data Science The tolerance of spatial statistics for methodological or conceptual ambiguities– exemplified by the degree of urbanization in Germany 1: European Space Imaging, Germany; 2: German Aerospace Center (DLR), Earth Observation Center (EOC), 82234 Oberpfaffenhofen, Germany; 3: Institute for Geography and Geology, Julius-Maximilians-Universitat ¨ Würzburg, 97074 Würzburg, Germany; 4: Federal Institute for Research on Building, Urban Affairs and Spatial Development (BBSR), 53179 Bonn, Germany; 5: Federal Institute for Population Research (BIB), 65185 Wiesbaden, Germany; 6: German Aerospace Center (DLR), Space Agency, Earth Observation, 53227 Bonn, Germany GeoBioRemediation: EO for EU Soil Monitoring Compliance Antarix Space srl, Italy The in situ data bottleneck in Earth observation for agriculture: challenges, barriers, and a path forward 1: European Space Agency (ESA), Frascati, Italy; 2: PErSEUs, University of Lorraine, Metz, France; 3: Psychological Sciences Research Institute, UCLouvain, Louvain-la-Neuve, Belgium Democratising Deforestation Intelligence for Sovereign Finance: A Replicable EO Framework for Sustainability-Linked Bonds in Uganda 1: Assimila, United Kingdom; 2: University of Oxford, United Kingdom Monitoring Inland Water Quality in Poland Using Python and Sentinel-2 Satellite Imagery AGH University of Krakow, Poland Enhancing Macroeconomic Statistics with Sentinel-1: Monitoring Automotive Production in Germany for Timely Economic Indicators 1: German Aerospace Center (DLR), German Remote Sensing Data Center (DFD), Oberpfaffenhofen, Germany; 2: European Space Agency (ESA), Φ-lab, Earth Observation Climate Action, Sustainability and Science Department (EOP-S), Frascati, Italy Reducing Cross-Policy Reporting Burden Through Earth Observation Integration: an example of peatlands and carbon monitoring EC-JRC, Italy From EO Outputs to Policy Decisions: Applying an Impact Framework to Official Statistics Reporting Green Orbit Space Communications and PR, United Kingdom From Aerial Imagery to Official Statistics: Integrating Registry Data in Operational Deep Learning for Fine-Grained Built-Up Area Mapping in the Netherlands 1: Statistics Netherlands (CBS); 2: University of Twente Assessing Post-Fire Land Cover Evolution in Pisani Mountains: A Random Forest Approach with Bootstrapped NDVI Trend Analysis using Sentinel-2. Italian Institute fo Environmental Protection and Research, Italy When does very high resolution matter? A stratified evaluation of cocoa maps across canopy closure and landscape fragmentation in Côte d’Ivoire 1: ITC (University of Twente); 2: Joint Research Centre, Italy Scaling Biodiversity Estimation from Sparse Data using Aerial Imagery and Semi-Supervised Learning Statistics Netherlands An Universal and Index-Agnostic Bitemporal Indicator for Unsupervised Environmental Change Detection from Multispectral Satellite Data 1: Università Degli Studi di Padova, Italy; 2: Engineering Ingegneria Informatica S.p.A Tackling the challenge of monitoring SDG indicators for fisheries in SIDS 1: Indra Space, Portugal; 2: AIR Centre, Portugal Mapping rice data to support irrigation performance assessment in the Chokwe irrigation scheme, Mozambique 1: Food and Agriculture Organization of the United Nations, 00153 Rome, Italy; 2: School of Information Management and Data Science, NOVA University of Lisbon, 1070-312 Lisbon; 3: Faculdade de Ciências Agronómicas, Universidade Católica de Moçambique (UCM FCA), Cuamba 3305, Niassa, Mozambique A Sample-Based, Multi-Sensor Assessment of Land-Use and Land-Cover Change in Cameroon Using Collect Earth Online 1: US Forest Service International Program and Trade; 2: Coalition for Rainforest; 3: Spatial Informatics Group; 4: Observatoire national des changements climatiques; 5: Ministry of the Environment, Protection of Nature and Sustainable Development Open-Pit Mining Detection & Monitoring AGH University of Krakow, Poland Enhancing the Finnish construction project start statistics utilizing EO data 1: Finnish Environment Institute; 2: Statistics Finland Mapping Air Pollution Inequality Using Sentinel-5P: Integrating EO and Socio-Economic Data to Support Policy Action Statistics Netherlands, Netherlands, The Prediction of grassland yield in Austria: A machine learning approach based on satellite, weather, and extensive in situ data 1: Institute of Plant Production and Cultural Landscape, Agricultural Research and Education Centre Raumberg-Gumpenstein, Raumberg 38, Irdning‑Donnersbachtal 8952, Austria; 2: BOKU University, Austria A Standards-Driven Maturity Framework for Ensuring Data Credibility and Scientific Validity for Regulatory Environmental Evidence 1: EARSC; 2: Institut de Ciències del Mar (ICM-CSIC) |
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| 8:45am - 9:00am |
Welcome coffee Location: Externat Tent |
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| 9:00am - 9:45am |
Plenary session: data and services accessibility Location: Big Hall Chair: Tim Lemmens |
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| 9:45am - 10:00am |
Coffee break Location: Externat Tent |
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| 10:00am - 11:30am |
Workshops - Accessibility, data infrastructures & interoperability (including Copernicus services) Location: Big Hall Background and objectives
The workshop addresses challenges in accessing and integrating Earth Observation (EO) data within broader data ecosystems for official statistics. It focuses on data platforms, metadata standards, and interoperability between EO data, tools, and infrastructures and traditional statistical systems. Within this context, the workshop introduces the Copernicus Data Space Ecosystem (CDSE) as an operational and accessible platform, highlighting its role, together with other public services, in supporting national data infrastructures. The session aims to explore both technical and institutional solutions to improve accessibility and usability of EO data, including in low‑resource settings, and to identify remaining barriers to adoption of these systems by statistical offices. Expected outcomesParticipants will gain an overview of CDSE data collections and services relevant for statistics, including Sentinel data, Copernicus Land Monitoring Service products, Copernicus Contributing Missions, and options for onboarding users’ own data. Concrete examples from Eurostat will illustrate current operational use. The session is expected to generate ideas for establishing steps towards better integration of EO data into official statistical workflows. CDSE for European Statistical System 1: European Commission DG EUROSTAT, Luxembourg; 2: Sword Group Copernicus Data Space Ecosystem - European funded and governed Earth Observation processing capacity 1: Sinergise Solutions GmbH, Austria; 2: T-Systems International |
Workshops - Trust of EO data and uncertainty Location: Magellan Trust in EO information products is a fundamental condition for their uptake in official statistics.
While EO offers unprecedented opportunities (global coverage, consistency, and timeliness), EO also introduces new challenges related to transparency, uncertainty, and alignment with established statistical frameworks.
The workshop will explore how transparency, methodological robustness, and uncertainty quantification can strengthen confidence and trust in EO-derived information.
What factors build or erode trust in EO data when used in official statistics?
- How can we ensure transparency and reproducibility of EO workflows?
- How should uncertainty be quantified and communicated?
- What are the best practices for metadata and documentation ?
- Which frameworks for data quality assessment are needed?
Identify practical approaches to ensure that EO information products are not only scientifically robust, but also trusted, accepted, and usable within official statistical frameworks |
Workshops - Earth Observations for Agrifood systems applications Location: James Cook Reliable statistics are foundational for evidence-based policy and for tracking progress toward national and global agri-food systems. Agricultural statistics inform decisions on productivity, resilience, and sustainability. But conventional sources, such as farm surveys, censuses, and administrative records are costly, infrequent, and uneven in coverage, creating gaps in timeliness, spatial detail, and comparability. These gaps are especially acute for emerging priorities such as land-use change, greenhouse gas (GHG) emissions from agriculture and land use, and the intensity and risks associated with fertilizer and pesticide applications.
Earth observations (EO) provide consistent, frequent, and scalable measures to help close these gaps. Optical and radar satellites reveal crop types, phenology, management intensity, and land conversion, and ancillary datasets support inference on emissions drivers and environmental risks. Integrating EO with in situ monitoring and standardized...
Earth Observations for Agrifood systems applications 1: Digital FAO and Agro-Informatics Division, Food and Agriculture Organization of the United Nations; 2: Statistics Division, Food and Agriculture Organization of the United Nations |
| 11:30am - 11:45am |
Coffee break Location: Externat Tent |
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| 11:45am - 1:30pm |
Workshops - Reference Data as a Backbone for EO-Based Environmental Statistics and Services Location: Big Hall Workshop Description:
At the end of this workshop, we expect to have a clearer idea of the availability, the governance and accessibility, of In-Situ data sets that are the ground truth data for the EO datasets. The workshop will also explore the idea of a single federate In-Situ data repository, and the requirements from the statistical processing point of view for the In-Situ data (temporal, spatial and semantic). The Workshop will kick off with three lightening presentations from EEA, Eurostat and JRC, followed by breakout group work. The workshop will conclude with key messages from each breakout group Reference Data as a Backbone for EO-Based Environmental Statistics and Services 1: European Commission DG EUROSTAT, Luxembourg; 2: Sword Group; 3: European Environmental Agency; 4: European Commision DG Joint Reserach Center One million LUCAS points European Commission DG EUROSTAT, Luxembourg |
Workshops - Capacity building Location: Magellan At the end of the workshop, we would like to have insights into the resources and the gaps related to EO for statistics among the participants. We expect to plot and match i) the gaps (problems), ii) the existing resources to fill these gaps (solutions), and iii) detect our blank spots. Another outcome is how to organize working together and how to overcome the blank spots. Organiser Details:
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Workshop - GFOI R&D Session on integrating EO- and ground-data for enhanced forest-related biomass estimation Location: James Cook This workshop will delve into current needs and opportunities for integrating forest biomass information from forest inventories, national statistics and Earth Observation to strengthen the monitoring and reporting of forest biomass for environmental assessments and climate action. We will begin by reviewing the latest recommendations on using EO-based biomass products within MRV processes and international frameworks, as well as briefly touch upon ESA’s Biomass mission advances. Building upon recent discussions led by the Global Forest Observations Initiative (GFOI), we will discuss three different pathways leading towards the integration of these datasets, namely (1) key considerations informing the design of new ground-based campaigns to ensure both compatibility with and added value from EO datasets; (2) lessons learned from experiences combining and harmonizing different existing in-situ data (e.g., National Forest Inventories, among others) for their integration with EO...
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 |
| 1:30pm - 2:30pm |
Lunch break Location: Canteen |
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| 2:30pm - 4:00pm |
Workshop - From pixels to statistics: working toward validated EO and in-situ data integration practices Location: Big Hall This interactive workshop will bring together EO practitioners, statisticians, and data providers to jointly address how Earth Observation data can be responsibly combined with in-situ measurements, statistical survey data and administrative dat.
Using short case studies (e.g. crop type mapping, yield estimation, biodiversity proxies), participants will explore where integration typically becomes difficult: spatial misalignment, scale effects, timing differences, and mismatches between observed variables and intended statistical constructs.
From pixels to statistics: working toward validated EO and in-situ data integration practices Statistics Netherlands, Netherlands, The |
Workshop - Stadardization and quality of EO in Statistical processes Location: Magellan This session will address the challenges and solutions for standardizing Earth Observation (EO)-based information within official statistical systems and frameworks, as well as how to build solid data quality standards. The workshop should aim to discuss what quality information does data users and producers need, and how to align this to existing international statistical standards. Topics can include ensuring consistency across spatial, temporal scales, alignments with thematic classifications, and policy reporting coherence, including interinstitutional mechanisms and harmonisation. Discussions around metadata standards, the role of international statistical guidelines, and the potential of EO to support harmonized statistics across countries are encouraged. |
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| 4:00pm - 4:15pm |
Coffee break Location: Externat Tent |
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| 4:15pm - 5:15pm Live Now |
Workshops wrap up Location: Big Hall |
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| 5:15pm - 5:30pm |
Conference closure Location: Big Hall |
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