Conference Agenda

ID: 146 / 2.1.1: 1

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

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

ID: 104 / 2.1.1: 2

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

William Ray, András Zlinszky

Sinergise Solutions GmbH, Austria

ID: 118 / 2.1.4: 1

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

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

ID: 119 / 2.1.4: 2

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

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

OECD, France

ID: 170 / 2.1.4: 3

Monitoring Climate Change Adaptation using Earth Observation

Sarah Connors

ESA, United Kingdom

ID: 194 / 2.1.4: 4

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

ID: 258 / 2.1.4: 5

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

¹TerraSphere, Netherlands, The; ²GAF, Germany

ID: 270 / 2.1.4: 6

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

¹Joint Research Centre, European Commission, Italy; ²European Dynamics, Luxembourg; ³Unisystems, Luxembourg; ⁴Wageningen University and Research, Netherlands; ⁵Universite Catholique de Louvain, Belgium; ⁶University of Toulouse, France; ⁷Ecole Normale Superiere (ENS), France; ⁸University of Basilicata, Italy

ID: 271 / 2.1.4: 7

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

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

ID: 291 / 2.1.4: 8

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

Mateo Moreno¹, Rolf Simoes², Tomislav Hengl¹

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

ID: 313 / 2.1.4: 9

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

¹i-Sea, France; ²BlueSeeds, France; ³CEAB-CSIC, Spain; ⁴IRD, France; ⁵Simon Fraser University, Canada; ⁶La Rochelle University, France; ⁷ESA, Italy

ID: 113 / 2.1.2: 1

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

¹GFZ Helmholtz Centre for Geosciences, Potsdam, Germany; ²Luxembourg Institute of Science and Technology (LIST), Remote Sensing and Natural Resources Modelling Group, Belvaux, Luxembourg; ³German Aerospace Center (DLR), Space Research Division, Cologne, Germany; ⁴Directorate of Earth Observation Programmes, European Space Agency (ESA), Frascati RM, Italy; ⁵Department of Geography and Environmental Studies, Stellenbosch University (SU), Matieland, Stellenbosch, South Africa

ID: 159 / 2.1.2: 2

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

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

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

ID: 232 / 2.1.2: 3

Agriculture Statistics

Flora Bolonyai, Marketa Papanikilaou

European Commission DG EUROSTAT, Luxembourg

ID: 234 / 2.1.2: 4

Earth Observation for Agriculture Statistics (technical)

Zacharias Kandylakis², Carla Martins¹, Hannes Reuter¹

¹European Commission DG EUROSTAT, Luxembourg; ²Sword Group

ID: 251 / 2.1.2: 5

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

¹ARHS Developments, Luxembourg (Consultant with the European Commission, Joint Research Center (JRC), Ispra, Italy); ²European Commission, Joint Research Centre (JRC), 21027 Ispra (VA), Italy; ³SEIDOR Consulting S.L., 08500 Barcelona, Spain (Consultant with the European Commission, Joint Research Center (JRC), Ispra, Italy); ⁴European Commission, Eurostat, Luxembourg; ⁵International Institute for Applied Systems Analysis, 2361 Laxenburg, Austria

ID: 264 / 2.1.2: 6

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

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

ID: 267 / 2.1.2: 7

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

ID: 276 / 2.1.2: 8

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

¹DG Agriculture & Rural Development (DG AGRI), European Commission, Brussels, Belgium; ²Joint Research Centre (JRC) , European Commission, Ispra, Italy; ³Joint Research Centre (JRC) , European Commission, Seville, Spain

ID: 305 / 2.1.2: 9

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

¹Thünen Institut, Germany; ²Universität Greifswald, Germany

ID: 129 / 2.1.3: 1

Climate Extremes and Food Security in Malawi

Hilde Orderud¹, Ola Nordbeck²

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

ID: 149 / 2.1.3: 2

Earth Observations and Machine Learning for Gridded Macroeconomic Data

Marco Marini, Andinet Woldemichael, Jim Tebrake

International Monetary Fund

ID: 178 / 2.1.3: 3

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

¹Federal Agency for Cartography and Geodesy Germany; ²Federal Statistical Office Germany; ³German Aerospace Center

ID: 188 / 2.1.3: 4

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

¹International Institute for Applied Systems Analysis (IIASA); ²OpenGeoHub Foundation; ³World Resources Institute; ⁴Remote Sensing and GIS Laboratory (LAPIG/UFG)

ID: 207 / 2.1.3: 5

Analysis of Earth Observation Data for Economic Statistics

Maren Koehlmann, Stefan Irrgang, Melanie Brauchler

German Federal Statistical Office, Germany

ID: 279 / 2.1.3: 6

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

¹UCLouvain-Geomatics (Belgium), Belgium; ²Met Office, UK; ³LSCE, France; ⁴Brockmann Consult Gmbh, Germany; ⁵European Space Agency ECSAT, UK

ID: 299 / 2.1.3: 7

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

ID: 155 / 2.2.1: 1

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

¹European Association of Remote Sensing Companies (EARSC), Belgium; ²Euro-Mediterranean Centre for Climate Change (CMCC); ³Italian National Institute of Statistics; ⁴SISTEMA /MEEO; ⁵T6 Ecosystems; ⁶Wageningen University & Research (WUR); ⁷Euro-Mediterranean Centre for Climate Change (CMCC); ⁸European Association of Remote Sensing Companies (EARSC), Belgium

ID: 165 / 2.2.1: 2

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

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

¹CMCC, IT; ²Sistema GmbH, AT

ID: 274 / 2.2.1: 3

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

Rossi Massimiliano¹, Faucqueur Loic²

¹European Environment Agency, Denmark; ²CLS Group

ID: 217 / 2.2.1: 4

Using Openly Available FAIR Science with EarthCODE

Deyan Samardzhiev¹, Krasen Samardzhiev¹, Anca Anghelea², Ewelina Dobrowolska³

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

ID: 101 / 2.2.3: 1

Earth Observation Roadmap for Ecosystem Services Accounting in the EU

Mayra Alejandra Zurbaran Nucci, Domenico Pisani

European Commission - Joint Research Centre, Italy

ID: 111 / 2.2.3: 2

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

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

ID: 128 / 2.2.3: 3

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

Sam Belton, Saloni Salria

Central Statistics Office, Ireland

ID: 177 / 2.2.3: 4

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

Domenico Pisani¹, Alessandra La Notte²

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

ID: 200 / 2.2.3: 5

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

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

ID: 223 / 2.2.3: 6

Integrating Earth Observation into Official Statistics: The German Ecosystem Accounts

Jonathan Reith

Federal Statistical Office Germany

ID: 247 / 2.2.3: 7

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

ID: 275 / 2.2.3: 8

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

Roberto ASTOLFI, Pearl HERRERO

OECD, France

ID: 282 / 2.2.3: 9

Data foundation for the next-generation EU ecosystem mapping product

Pavel Milenov, Ludvig Forslund, Jan-Erik Petersen

European Environment Agency, Denmark

ID: 134 / 2.2.2: 1

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

¹Department of Plant Sciences, College of Agriculture and Bioresources, University of Saskatchewan, Canada; ²Nutrien Centre for Sustainable and Digital Agriculture, College of Agriculture and Bioresources, University of Saskatchewan, Canada; ³Centre d'applications et de recherches en télédétection (CARTEL), Département de géomatique appliquée, Université de Sherbrooke, Canada

ID: 141 / 2.2.2: 2

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

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

ID: 152 / 2.2.2: 3

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

Oliver Reitz

Hesse Statistical Office, Germany

ID: 203 / 2.2.2: 4

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

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

ID: 209 / 2.2.2: 5

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

¹Joint Research Centre, Italy; ²Image Processing Laboratory (IPL) - Universitat de València; ³Global Information and Early Warning System on Food and Agriculture (GIEWS), Food and Agriculture Organization (FAO)

ID: 218 / 2.2.2: 6

Grassland Monitoring for Official Statistics Using Satellite Data.

Igors Liberts, Artūrs Luņevs

Central Statistical Bureau of Latvia, Latvia

ID: 229 / 2.2.2: 7

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

ID: 261 / 2.2.2: 8

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

¹Thünen Institute of Farm Economics; ²Humboldt-Universität zu Berlin, Geography Department; ³Humboldt-Universität zu Berlin, Integrative Research Institute of Transformations of Human-Environment Systems

ID: 322 / 2.2.2: 9

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

ID: 158 / 2.2.4: 1

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

¹GFZ Helmholtz Centre for Geosciences, Germany; ²Departament of Forest Resources, University of Minnesota; ³European Space Agency; ⁴Servicio Forestal y de Fauna Silvestre (SERFOR), Peru

ID: 163 / 2.2.4: 2

The National Satellite Information System for Environmental Indicators and Policy Support

Radoslaw Gurdak, Adam Wasniewski, Wojciech Ciezkowski

Polish Space Agency, Poland

ID: 189 / 2.2.4: 3

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

¹GFZ Helmholtz Centre for Geosciences; ²University of Natural Resources and Life Sciences (BOKU)

ID: 215 / 2.2.4: 4

Harmonized approach for multi-purpose activity data to support AFOLU policies

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

¹GAF AG, Germany; ²IGN FI, France; ³The World Bank Group, USA

ID: 266 / 2.2.4: 5

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

¹University of Milano-Bicocca, Department of Earth and Environmental Sciences, Italy; ²University of Zurich, Department of Geography, Switzerland; ³SARMAP sa, Caslano, Switzerland; ⁴Climate Action, Sustainability and Science Department, European Space Agency, Frascati, Italy; ⁵SERCO for ESA - Climate Action, Sustainability and Science Department, European Space Agency, Frascati, Italy

ID: 283 / 2.2.4: 6

Innovative Restructuring of the FAO FRA 2025 Remote Sensing Survey

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

¹FAO, Italy; ²ESF, USA

ID: 319 / 2.2.4: 7

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

ID: 320 / 2.2.4: 8

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

Johannes Breidenbach

NIBIO, Norway

ID: 321 / 2.2.4: 9

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

ID: 121 / 2.3.1: 1

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

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

ID: 280 / 2.3.1: 2

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

Sophie Bontemps, Boris Noorgard, Guillaume Jadot, Pierre Defourny

UCLouvain, Belgium

ID: 323 / 2.3.1: 4

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

Cosmin UDROIU, Laurentiu NICOLA

CS GROUP - ROMANIA, Romania

ID: 110 / 2.3.1: 5

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

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

ID: 100 / 2.3.3: 1

Generalising Earth Observation AI/ML pipelines for European statistics

Remco Paulussen

Statistics Netherlands (CBS)

ID: 114 / 2.3.3: 2

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

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

ID: 115 / 2.3.3: 3

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

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

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

ID: 124 / 2.3.3: 4

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

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

¹Italian National Institute of Statistics (ISTAT), Italy; ²National Institute of Geographic and Forest Information (IGN), France; ³Statistics Denmark (Danmarks Statistik),Denmark; ⁴Statistics Austria (Statistik Austria),Austria

ID: 172 / 2.3.3: 5

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

¹VITO - Flemish Institute for Technological Research, Belgium; ²IIASA - International Institute for Applied Systems Analysis, Austria; ³IGNFI - Geographic engineering and spatial information consultancy, France; ⁴JRC - Joint Research Centre (European Commission), Italy

ID: 185 / 2.3.3: 6

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

Célia Ferreira

Statistics Portugal, Portugal

ID: 191 / 2.3.3: 7

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

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

ID: 201 / 2.3.3: 8

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

Gillian Milani, Michèle Gillard, Romain Douard

Federal Statistical Office, Switzerland

ID: 220 / 2.3.3: 9

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

¹GAF AG, Arnulfstr. 199, 80634 Munich, Germany; ²GeoVille GmbH, Sparkassenplatz 2, 6020 Innsbruck, Austria; ³European Environment Agency, Kongens Nytorv 6, 1050 Copenhagen, Denmark

ID: 108 / 2.3.2: 1

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

Oladapo Oladoja¹, Elizabeth Oladejo², Abosede Adepoju³

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

ID: 131 / 2.3.2: 2

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

Julien Radoux, Pierre Defourny

Université catholique de Louvain, Belgium

ID: 154 / 2.3.2: 3

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

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

ID: 187 / 2.3.2: 4

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

Sebastien Dorgan

ABSOLUT SENSING, France

ID: 192 / 2.3.2: 5

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

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

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

ID: 199 / 2.3.2: 6

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

¹European Commission Joint Research Centre (JRC), Italy; ²Université de Bordeaux, France; ³CSIRO, Canberra, Australia; ⁴Institute for Global Environmental Strategies, IGES, Hayama, Japan; ⁵Faculty of Environment, Science and Economy, University of Exeter, Exeter, UK; ⁶Laboratoire de Météorologie Dynamique, Institut Pierre-Simon Laplace, CNRS, École Normale Supérieure, Université PSL, Sorbonne Université, École Polytechnique, Paris, France; ⁷World Resources Institute, Washington DC, USA; ⁸GFZ Helmholtz Centre for Geosciences, Potsdam, Germany; ⁹School of Geographical Sciences, University of Bristol, UK; ¹⁰CICERO Center for International Climate Research, Oslo, Norway; ¹¹Department of Geography, Ludwig-Maximilians-Universität München, Munich, Germany; ¹²Max Planck Institute for Meteorology, Hamburg, Germany; ¹³Basque Centre for Climate Change (BC3), Bilbao, Spain; ¹⁴Ikerbasque Foundation, Euskadi Pl., 5, 48009 Bilbao, Spain

ID: 230 / 2.3.2: 7

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