Conference Agenda

Using ARIES for SEEA to support Ecosystem Service Accounting and reporting on Global Biodiversity Framework Headline Indicator B.1: A capacity building workshop

Megan Critchley¹, Stefano Balbi¹, Steven King², Ilaria Di Matteo²

1: Basque Centre for Climate Change (BC3), Bizkaia, Spain; 2: United Nations Statistics Division (UNSD), New York

Gaining Insights into Sentinel imagery using the Sentinel Hub Statistical API in Copernicus Data Space Ecosystem

William Ray, András Zlinszky

Sinergise Solutions GmbH, Austria

High Resolution Land Degradation Neutrality Monitoring – Achievements of the ESA SEN4LDN Project

Carolien Toté¹, Ruben Van De Kerchove¹, Daniele Zanaga¹, Giorgia Milli¹, Cai Zhanzhang², Lars Eklundh², Katja Berger³, Martin Herold³, Nandika Tsendbazar⁴, Panpan Xu⁴, Gabriel Daldegan⁵, Marc Paganini⁶

1: VITO, Belgium; 2: Lund University, Sweden; 3: GFZ, Germany; 4: Wageningen University & Research, The Netherlands; 5: Conservation International, USA; 6: ESA-ESRIN, Italy

Using EO data for policy-relevant indicators in global environmental frameworks

Louise Sieg, Mikaël J. A. Maes, Ivan Haščič

OECD, France

Monitoring Climate Change Adaptation using Earth Observation

Sarah Connors

ESA, United Kingdom

Remote Sensing-Based Estimation of Internal Renewable Water Resources: A global alternative to country statistics derived from ground-based hydrological estimates

Bert Coerver, Virginie Gillet, Jippe Hoogeveen, Patricia Mejias-Moreno, Livia Peiser

Food and Agriculture Organization of the United Nations, 00153 Rome, Italy

Validation of commodity prediction models to support the implementation of EUDR by EU Member states

Eric van Valkengoed¹, Frederick Numbisi², Menno de Vries¹, Christophe Sannier²

1: TerraSphere, Netherlands, The; 2: GAF, Germany

Towards a standardised baseline methodology to support the EU carbon farming certification in agricultural mineral soils

Timo Breure¹, Fernando Fahl², Panos Panagos¹, Leonidas Liakos³, Wouter Meijninger⁴, Marmar Sabetizadeh⁵, Taeken Wijmer⁶, Yue Zhou⁷, Daniele De rosa⁸, Davide Muraro¹, Emanuele Lugato¹

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

EO4Nature: From Earth Observation time series to statistics-ready indicators for nature-based climate action

Michael Foerster¹, Gregor Weyer¹, Benjamin Stoeckigt¹, Annett Frick¹, Thorsten Laufhuette², Lena Schultz-Lieckfeld²

1: Luftbild Umwelt Planung GmbH, Germany; 2: German Space Agency at DLR

A framework for global ensemble land cover mapping at 30 m resolution (2000–2024)

Mateo Moreno¹, Rolf Simoes², Tomislav Hengl¹

1: OpenGeoHub Foundation, Doorwerth, The Netherlands; 2: Center for Agribusiness Studies, Fundação Getúlio Vargas (FGV Agro), São Paulo, Brazil

ESA Coastal Blue Carbon : new products for seagrass and coastal wetlands conservation, restoration, and climate action. Achievements and perspectives.

Aurélie Dehouck¹, Benoit Beguet¹, Marie-Aude Sevin², Oscar Serrano³, Christophe Proisy⁴, Marlow Pellatt⁵, Karen Kohfeld⁵, Christine Dupuy⁶, Alvise Ca'Zorzi², Thibault Catry⁴, Elodie Blanchard⁴, Manon Tranchand¹, Virginie Lafon¹, Marie-Hélène Rio⁷, Javier Concha⁷

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

Integrating Earth observation and statistics across the agricultural policy cycle

Katja Berger¹, Miriam Machwitz², Larissa Torney¹, Ekin Celikkan¹, Alison Beamish¹, Alexandra Bell³, Zoltan Szantoi^4,5, Robert Behling¹, Christian Bossung², Tom Galle², Martin Herold¹

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

Supporting Policy and (National) Agricultural Statistics with Copernicus Annual High-Resolution Cropland Layers

Kasper Bonte¹, Kristof Van Tricht¹, André Stumpf², Luca Battistella³

1: VITO, Belgium; 2: GAF AG, Germany; 3: EEA, Denmark

Agriculture Statistics

Flora Bolonyai, Marketa Papanikilaou

European Commission DG EUROSTAT, Luxembourg

Earth Observation for Agriculture Statistics (technical)

Zacharias Kandylakis², Carla Martins¹, Hannes Reuter¹

1: European Commission DG EUROSTAT, Luxembourg; 2: Sword Group

Overcoming interoperability challenges of crop area reported by farmer declarations, agricultural census, and Copernicus Earth Observation

Jon Olav Skøien¹, Claverie Martin², Iordanov Momtchil³, Lampach Nicolas⁴, See Linda^2,5, Urraca Ruben², Van der Velde Marijn²

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

Ten Years to Cross the Threshold: When Sentinel-2 Finally Enabled Crop-Specific Monitoring

Martin Claverie¹, Julien Morel¹, Valentin Barriere², Momtchil Iordanov¹, Wassim Ben Aoun¹, Lorenzo Seguini¹, Guido Lemoine¹, Marijn Van der Velde¹, Stefan Niemeyer¹

1: Joint Research Centre (JRC), European Commission; 2: Centro Nacional de Inteligencia Artificial (CENIA)

From space to policy: exploiting Copernicus data to evaluate agricultural policies

Ruben Urraca, Martin Claverie, Momtchil Iordanov, Matteo Marcantonio, Laura Martinez-Sanchez, Marijn Van der Velde

European Commission, Joint Research Centre, Italy

Monitoring Crop Diversity Across the EU from Space: New Copernicus Insights for Agricultural Policy

Raphael d'Andrimont¹, Momtchil Iordanov², Marijn van der Velde², Martin Claverie², Laura Martinez Sanchez², Ibirenoye Sodjahin³, Pascal Tillie³, Isabelle Muquet¹, Beate Kloiber¹, David Laureau¹, Andrea Furlan¹, Bence Tóth¹

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

Mapping 30 years of agricultural land use in Germany

Gideon Okpoti Tetteh¹, Vu-Dong Pham², Marcel Schwieder¹, Felix Lobert¹, Alexander Gocht¹, Sebastian van der Linden², Stefan Erasmi¹

1: Thünen Institut, Germany; 2: Universität Greifswald, Germany

Climate Extremes and Food Security in Malawi

Hilde Orderud¹, Ola Nordbeck²

1: Statistics Norway, Norway; 2: Norwegian Space Agency, Norway

Earth Observations and Machine Learning for Gridded Macroeconomic Data

Marco Marini, Andinet Woldemichael, Jim Tebrake

International Monetary Fund

Earth Observation and AI for Construction Statistics (EO4ConStat): Developing an EO-based Approach for Quality Assessment in Building Statistics

Frederik Stellmach¹, Stefan Irrgang², Carola Stolle¹, Maren Köhlmann², Dorothee Stiller³, Michael Wurm³, Thorsten Dahms¹, Michael Hovenbitzer¹

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

Steffen Fritz¹, Myroslava Lesiv¹, Ivelina Georgieva¹, Leandro Parente², Katya Perez Guzman¹, Lindsey Sloat³, Ana Paula Matos⁴, Nathália Teles⁴, Vinicius Mesquita⁴, Laerte Ferreira⁴, Luis Baumann⁴, Ichsani Wheeler²

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

Maren Koehlmann, Stefan Irrgang, Melanie Brauchler

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

Céline Lamarche¹, Inès Bruyère¹, Kandice Harper¹, Andrew Hartley², Philippe Peylin³, Catherine Ottlé³, Vladislav Bastrikov³, Luis Olivera³, Rodrigo San Martín³, Grit Kirches⁴, Martin Boettcher⁴, Roman Shevchuk⁴, Carsten Brockmann⁴, Clément Albergel⁵, Pierre Defourny⁴

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

Ian Nunes, Vitor Franca, Bruna Rezende, Marcelo Maia

Brazilian Institute of Geography and Statistics, Brazil

From research to operations: advancing SDGs-EYES services

Monica Miguel Lago¹, Manuela Balzarolo², Fabio Bacchini³, Stefano Natali⁴, Antonella Passani⁵, Claire Jacobs⁶, Tomas Lovato⁷, Francesca Piatto⁸

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; 5: T6 Ecosystems; 6: Wageningen University & Research (WUR); 7: Euro-Mediterranean Centre for Climate Change (CMCC); 8: European Association of Remote Sensing Companies (EARSC), Belgium

The SDGs-EYES platform for a timeless monitoring and reporting of Sustainable Development Goals

Manuela Balzarolo¹, Stefano Natali², Alessandro D'Anca¹, Jishnu Jeevan¹

1: CMCC, IT; 2: Sistema GmbH, AT

Integrating Small Landscape Features (HRL-SLF) into Land monitoring indicators - spatially aggregated statistics for policy support.

Rossi Massimiliano¹, Faucqueur Loic²

1: European Environment Agency, Denmark; 2: CLS Group

Using Openly Available FAIR Science with EarthCODE

Deyan Samardzhiev¹, Krasen Samardzhiev¹, Anca Anghelea², Ewelina Dobrowolska³

1: Lampata, United Kingdom; 2: ESA, Italy; 3: Serco, Italy

Earth Observation Roadmap for Ecosystem Services Accounting in the EU

Mayra Alejandra Zurbaran Nucci, Domenico Pisani

European Commission - Joint Research Centre, Italy

World Ecosystem Extent Dynamics, a toolbox for countries to report on SEEA-EA accounts and GBF Headline indicator A.2

Bruno Smets¹, Marcel Buchhorn¹, Stefano Balbi², Alessio Bulckaen², Carsten Meyer³, Polina Tregubova³, Ruben Remelgado⁴, Ian McCallum⁵, Bert De Roo¹, Ferdinando Villa², Marc Paganini⁶

1: VITO, Belgium; 2: BC3 Research, Spain; 3: IDIV, Germany; 4: University of Bonn, Germany; 5: IIASA, Austria; 6: ESA ESRIN, Italy

Peatland mapping using Sentinel-2 in Ireland - a use case in Ecosystem Accounting

Sam Belton, Saloni Salria

Central Statistics Office, Ireland

Ecosystem Service Accounting - Compatibility Assessment Tool (ESA-CAT) standardized reporting system

Domenico Pisani¹, Alessandra La Notte²

1: Joint Reseach Centre, Italy; 2: European Dynamics SA, Italy

Accounting for Nature: EO-Derived Biodiversity Metric for Green National Income

Georg Kodl¹, Pernille Lykke Jørgensen², Niels Strange², Andy Shaw¹, Jette Bredahl Jacobsen², Gerardo Lopez Saldana¹

1: Assimila, United Kingdom; 2: University of Copenhagen, Denmark

Integrating Earth Observation into Official Statistics: The German Ecosystem Accounts

Jonathan Reith

Federal Statistical Office Germany

From Sentinel to national Land Cover mapping to Ecosystem Accounting: A roadmap for integrating Earth Observation data into official statistics for Environmental-Economic Accounting

Nina Hofer, Mathias Kästenbauer, Sylvia Gierlinger

Statistics Austria, Austria

Bridging SEEA Air Emission Accounts and IPCC Inventories through Earth Observation–Based LULUCF Carbon Estimates

Roberto ASTOLFI, Pearl HERRERO

OECD, France

Data foundation for the next-generation EU ecosystem mapping product

Pavel Milenov, Ludvig Forslund, Jan-Erik Petersen

European Environment Agency, Denmark

GAIG-Embeddings: A Multi-Modal Spatiotemporal Foundation Model for Agroecosystem Intelligence – Insights from Canadian Prairies

Kwabena A. Nketia^1,2, Thuan Ha^1,2, Morteza Khazaei^1,3, Ali Lotfi^1,2, Steve J. Shirtliffe^1,2

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

Earth Observation-Based Detection of Crop-Residues for Official Statistics in Sweden

Sebastian Hafner¹, Burcu Kocoglu¹, Erik Kallman¹, Tobias Edman¹, Kristine Berezkova^1,2, Johanna Wicht^1,2, Linus Rispling³, Jerker Mostrom³, Ylva Andrist Rangel³, Sergio Tena Vasco³

1: RISE Research Institutes of Sweden, Sweden; 2: University of Stockholm, Sweden; 3: Statistics Sweden (Statistiska centralbyrån, SCB), Sweden

Sentinel-2 Based Estimation of Crop Yields for Official Statistics in Germany

Oliver Reitz

Hesse Statistical Office, Germany

Monitoring soil management dynamics in European arable systems with Sentinel-1&2

Paolo Dal Lago¹, Marc Rußwurm², Claudia Paris³, Nandika Tsendbazar¹, Lammert Kooistra¹, Kirsten de Beurs¹

1: Wageningen University, the Netherlands; 2: University of Bonn, Germany; 3: University of Twente, the Netherlands

EO and agrometeorological data-driven crop yield forecasting at national and sub-national scales

Michele Meroni¹, Francesco Collivignarelli¹, Inti Luna², Jordi Muñoz-Marí², Maria Piles², Jonathan Pound³, Felix Rembold¹, Petar Vojnovic¹, Filip Sabo¹, Mario Zappacosta³

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)

Grassland Monitoring for Official Statistics Using Satellite Data.

Igors Liberts, Artūrs Luņevs

Central Statistical Bureau of Latvia, Latvia

YPSGlobe – one-stop high-resolution yield prediction for the Globe

Sandra Dotzler, Heike Bach, Solveig Blöcher, Christian Miesgang, Silke Migdall, Anusha Sanmathi Sathyaniranjan

Vista GmbH, Germany

Mapping grassland age at a national scale using multidecadal satellite time series

Lukas Blickensdörfer^1,2, Tom Broeg¹, Felix Lobert^1,2, Marcel Schwieder^1,2, Patrick Hostert^2,3, Stefan Erasmi¹

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

Seasons in the Algorithm: Error-Driven Insights into Winter and Spring Crop Classification: An Exploratory Study by Statistics Portugal

Cristina Gabriel, Isabel Gonçalves

Statistics Portugal, Portugal

Integrating EO and ground biomass information through robust statistical techniques: GFOI recommendations for climate policy reporting

Natalia Málaga¹, Daniela Requena Suarez¹, Chad Babcock², Neha Hunka³, Alexs Arana⁴, Ricardo de la Cruz Paiva⁴, Martin Herold¹

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

Radoslaw Gurdak, Adam Wasniewski, Wojciech Ciezkowski

Polish Space Agency, Poland

Seeing forests clearly: Insights from a Systematic Review of FI-EO Integration

Daniela Requena Suarez¹, Alexandra Runge¹, Natalia Málaga¹, Katja Berger¹, Viola Heinrich¹, Markus Immitzer², Linda Lück¹, Qian Song¹, Timothée Stassin¹, Martin Herold¹

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

Christophe Sannier¹, Gadriel Jaffrain², Adrien Moiret-Guigand², Naikoa Aguilar Amuchastegui³, René Siwe¹

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

Erika Piaser¹, Micol Rossini¹, Giulia Tagliabue¹, Luigi Vignali¹, Maria J. Santos², Martin Reader², Andreas Hueni², Giaime Origgi³, Francesco Holecz³, Federica Marando⁴, Marco di Tullio⁵, Cinzia Panigada¹

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

Valeria Contessa¹, Chiara Patriarca¹, Takayuki Ishikawa¹, Adolfo Kindgard¹, Stephen V Stehman², Anssi Pekkarinen¹

1: FAO, Italy; 2: ESF, USA

From Land Cover to Land Use: A Remote Sensing–Based Map of Forest Area in Europe

Daniele Marinelli, Guido Ceccherini, Alessandro Cescatti

DG JRC European Commission, Italy

Combining NFI and EO data – alley to success for a reliable European Forest Monitoring System?

Johannes Breidenbach

NIBIO, Norway

Unit-level National-scale small-area estimation in Italy

Elia Vangi, Giovanni D’Amico, Gherardo Chirici

geoLAB, - Laboratory of Forest Geomatics, Dept. of Agriculture, Food, Environment and Forestry, Università degli Studi di Firenze, Via San Bonaventura 13, 50145 Firenze, Italy

Geo-Quest and WorldCereal: From in-situ data to EO-driven crop maps

Juan Carlos Laso Bayas¹, Steffen Fritz¹, Santosh Karanam¹, Tobias Sturn¹, Arun Pratihast², Hendrik Boogaard², Jeroen Degerickx³, Kristof Van Tricht³

1: IIASA, Austria; 2: WUR, Netherlands; 3: VITO, Belgium

Sen4Stat : an open-source toolbox leveraging satellite Earth Observation to improve agriculture statistics

Sophie Bontemps, Boris Noorgard, Guillaume Jadot, Pierre Defourny

UCLouvain, Belgium

From Toolbox to Services: Cloudification of the Sen4CAP and Sen4Stat Processors

Cosmin UDROIU, Laurentiu NICOLA

CS GROUP - ROMANIA, Romania

Sen4Stat approach: Leveraging the use of Earth Observation data for improved agricultural statistics

Sophie Bontemps¹, Boris Nörgaard¹, Pierre Houdmont¹, Guillaume Jadot¹, Cosmin Udroiu², Laurentiu Nicola², Pierre Defourny¹

1: UCLouvain, Belgium; 2: CS Group Sopra Steria, Romania

Generalising Earth Observation AI/ML pipelines for European statistics

Remco Paulussen

Statistics Netherlands (CBS)

Map quality assessment and area estimation to support the use of global land cover maps at (sub)national level

Nandika Tsendbazar¹, Panpan Xu², Martin Herold³, Sytze de Bruin¹, Sarah Carter⁴

1: Laboratory of Geo-Information Science and Remote Sensing, Wageningen University & Research, the Netherlands; 2: College of Marine Geosciences, Ocean University of China, Qingdao, China; 3: Section 1.4 Remote Sensing and Geoinformatics, Deutsches GeoForschungsZentrum, Potsdam, Germany; 4: World Resources Insititute, the Hague, Netherlands

Promoting Good Practices for Land Cover and Change Map accuracy assessment and area estimation

Alexandra Tyukavina^1,2, Nandika Tsendbazar^2,3

1: University of Maryland; 2: Committee on Earth Observation Satellites, Land Product Validation Subgroup; 3: Wageningen University, The Netherlands

Very High-Resolution Land Cover Mapping: A Reusable Pipeline for Official Statistics.

Fabrizio De Fausti¹, Anatol Garioud², Jolien Cremers³, Nils von Norsinski⁴, Stefano Mugnoli¹

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

The Copernicus LCFM Service: Next-Generation Global Land Cover at 10 m Resolution

Daniele Zanaga¹, Ruben Van De Kerchove¹, Joris Coddé¹, Ioannis Kalfas¹, Giorgia Milli¹, Mathilde De Vroey¹, Carolien Toté¹, Stelios Lagaras¹, Victor Verhaert¹, Dirk Daems¹, Peter Van Bouwel¹, Luc Bertels¹, Astrid Verhegghen¹, Manu Goudar¹, Francesco Perfetto¹, Myroslava Lesiv², Steffen Fritz², Antoine Masse³, Gabriel Jaffrain³, Adrien Moiret³, Andrea Lupi⁴, René Colditz⁴, Frédéric Achard⁴, Andreas Brink⁴

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

Developing Land Use and Land Cover Statistics with Earth Observation - Statistics Portugal experience

Célia Ferreira

Statistics Portugal, Portugal

Challenges in the Validation of Land Use and Land Cover Change Maps

Myroslava Lesiv¹, Steffen Fritz¹, Ruben Van De Kerchove², Daniele Zanaga², Antoine Masse³, Gabriel Jaffrain³, Maria Shchepashchenko¹, Ivelina Georgieva¹, Dmitry Schepaschenko¹, Maxim Neumann⁴, Linda See¹, Ian McCallum¹

1: IIASA, Austria; 2: VITO, Belgium; 3: IGNFI, France; 4: Google DeepMind, Switzerland

Artificial Intelligence for Reliable Land Use Statistics: Opportunities and Challenges from Switzerland

Gillian Milani, Michèle Gillard, Romain Douard

Federal Statistical Office, Switzerland

Statistical calibration of land cover changes in CLMS CLCplus Backbone time-series

André Stumpf¹, Fabian Berndt¹, Christophe Sannier¹, Benjamin Argyle-Ross², Manuel Mayr³, Massimiliano Rossi³

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

Assessing Air Quality in Nigerian States Using a Bayesian Hierarchical Environmetrics Model

Oladapo Oladoja¹, Elizabeth Oladejo², Abosede Adepoju³

1: Abiola Ajimobi Technical University, Ibadan, Nigeria; 2: Abiola Ajimobi Technical University, Ibadan, Nigeria; 3: University of Ibadan, Ibadan, Nigeria

LULC time series for GHG reporting: the case of Wallonia (Belgium)

Julien Radoux, Pierre Defourny

Université catholique de Louvain, Belgium

Operational integration of satellite Earth Observation and eddy covariance data to support carbon flux monitoring continuity and management event detection in Irish grasslands

Wahaj Habib¹, Matthew Saunders², John Connolly¹

1: Geography, School of Natural Sciences, Trinity College Dublin, Ireland; 2: Botany, School of Natural Sciences, Trinity College Dublin, Dublin, Ireland

From Demonstrator to Service: Operational Integration of High-Resolution Methane EO into European Statistical Workflows

Sebastien Dorgan

ABSOLUT SENSING, France

Quantifying Forecast Uncertainty in EO-Derived Deforestation Baselines for Carbon Accounting

Javier G. P. Gamarra¹, Ruth D. Yanai², Till Neeff¹

1: Food and Agriculture Organization of the United Nations, Italy; 2: SUNY College of Environmental Science and Forestry, US

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

Joana Melo¹, Simone Rossi¹, Frédéric Achard¹, Ramdane Alkama², Josep G. Canadell³, Sandro Federici⁴, Pierre Friedlingstein^5,6, David Gibbs⁷, Nancy Harris⁷, Viola Heinrich^8,9, Michael O’Sullivan⁵, Glen P. Peters¹⁰, Julia Pongratz^11,12, Melissa Rose⁷, Rosa Roman-Cuesta¹, María J. Sanz^13,14, Clemens Schwingshackl¹¹, Stephen Sitch⁵, Giacomo Grassi¹

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

Integrating Satellite-Based Facility-Level Methane Emissions Data into National GHG Inventories: The UK InCubed Greenhouse Gas Emissions Watch Service

Natalia Kuniewicz, Carles Debart

GHGSat, United Kingdom