Conference Agenda

Streamlining of reporting requirements across EU policies for reduction of the reporting burden, and integration of Earth Observation (EO) in official statistics

Francesca Somma¹, Meriam Lahsaini², Petra Remeta³, Carla Martins¹, Mark Dowell¹

1: EUROPEAN COMMISSION, Belgium; 2: Arcadia SIT s.r.l., for the Joint Research Centre, European Commission; 3: Independent Consultant

Earth Observation for Statistics (EO4S) in EUROSTAT

Carla Martins¹, Hannes Reuter¹, Zacharias KANDYLAKIS²

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

Earth Observation Support to Nature Policies

Ludvig Forslund, Pavel Milenov, Jan-Erik Petersen

European Environment Agency

Cross-border cropland indicators and field-scale rice system mapping from multi-sensor Earth observation in the Senegal River Valley

Jonas Meier¹, Niklas Heiss¹, Verena Huber García¹, Ursula Gessner¹, Claudia Kuenzer^1,2

1: German Aerospace Center, Germany; 2: Instute for Geography and Geology, University of Wuerzburg

Comparison and Independent Validation of Global High-resolution Remote Sensing Cropland Extent Products

Pengyu Hao¹, Aiman Batkalova¹, Zhongxin Chen¹, Francesco N. Tubiello², Giulia Conchedda³, Leon Casse²

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

Implementation of a standardised approach for crop type area estimation and mapping as part of the Coperncisu4GEOGLAM initiative

Christophe Sannier¹, Daan van Setten¹, Kristoff Van Tricht², Paul van der Voet³, Koen De Vos², Menno de Vries³, Victor Mutepa⁴, Bogdan Dovleac⁵, Ilaria Palumbo⁶

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

Comparing Earth Observation and Traditional Survey Approaches for Estimating Rice Harvested Area: A Case Study from Indonesia

Achmad Firmansyah, Wida Widiastuti, Kadarmanto -, Nasiya Utami, Novia Permatasari, Fawcet Makay, Aldi Rauf, Maria Claire

BPS Statistics Indonesia, Indonesia

Operational Crop Mapping at Scale: How ESA WorldCereal Supports Agricultural Statistics

Kristof Van Tricht¹, Jeroen Degerickx¹, Christina Butsko¹, Hendrik Boogaard², Juan-Carlos Laso Bayas³, Santosh Karanam³, Shabarinath S. Nair⁴, Jeroen Dries¹, Vincent Verelst¹, Belen Franch Gras⁵, Italo Moletto-Lobos⁵, Andreu Guillem Valls⁵, Katarzyna Cyran⁵, Arun Pratihast², Lubos Kucera⁶, Martin Babic⁶, Inbal Becker-Reshef⁴, Steffen Fritz³, Sven Gilliams⁷, Benjamin Koetz⁸, Zoltan Szantoi⁸

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

Mapping minor and mixed crops in Zambia and Zimbabwe using ESA WorldCereal crop classification system

Gerald Blasch¹, Shabarinath S Nair², Jeroen Degerickx³, Kristof Van Tricht³, Juan Carlos Laso Bayas⁴, Urs Schulthess¹, Kai Sonder¹, Mitelo Subakanya¹, Vimbayi Chimonyo¹, Inbal Becker Reshef⁵, Zoltan Szantoi⁶

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

Importance of In Situ data for EO integration in agricultural statistics: requirements and opportunities

Guillaume Jadot¹, Boris Nörgaard¹, Pierre Houdmont¹, Abdoulaye Guindo¹, Lorenzo De Simone², Pierre Defourny¹, Sophie Bontemps¹

1: UCLouvain, Belgium; 2: FAO

The Copernicus Agricultural Mapping Service to support Food Security: Copernicus4GEOGLAM

Ilaria Palumbo², Felix Rembold¹, Michele Meroni², Christophe Sannier³, Daan van Setten³, Kristoff Van Tricht⁴, Paul van der Voet⁵

1: European Commission, Joint Research Centre (JRC), Ispra (VA), Italy; 2: Seidor Consulting, Barcelona, Spain | Under contract with the European Commission, JRC, Ispra (VA), Italy; 3: GAF AG, München, Germany; 4: VITO Remote Sensing, Mol, Belgium; 5: Terrasphere, Amsterdam, The Netherlands

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

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

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

CDSE for European Statistical System

Carla Martins¹, Hannes Reuter¹, Zacharias Kandylakis²

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

Copernicus Data Space Ecosystem - European funded and governed Earth Observation processing capacity

William Ray¹, András Zlinszky¹, Maxim Lamare¹, Grega Milcinski¹, Jurry de la Mar²

1: Sinergise Solutions GmbH, Austria; 2: T-Systems International

Reference Data as a Backbone for EO-Based Environmental Statistics and Services

Jose Miguel Rubio³, Timo Breure⁴, Hannes Reuter¹, Zacharias Kandylakis², Carla Martins¹

1: European Commission DG EUROSTAT, Luxembourg; 2: Sword Group; 3: European Environmental Agency; 4: European Commision DG Joint Reserach Center

Standardised Reference Data Framework for Global Crop Mapping and Agricultural Statistics

Arun Pratihast¹, Hendrik Boogaard¹, Jeroen Degerickx², Belen Franch Gras³, Steffen Fritz⁴, Sven Gilliams⁵

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

One million LUCAS points

Hannes Reuter, Alessandra Palmieri, Beatrice Eiselt

European Commission DG EUROSTAT, Luxembourg