Conference Agenda

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

Mikaël J. A. Maes, Louise Sieg, 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

Analysis of Earth Observation Data for Economic Statistics

Maren Koehlmann, Stefan Irrgang, Melanie Brauchler

German Federal Statistical Office, Germany

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)

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

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

William Ray, András Zlinszky

Sinergise Solutions GmbH, Austria

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

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

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

Burcu Kocoglu¹, Sebastian Hafner¹, 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 Liberts¹, Artūrs Luņevs¹, Edijs Breijers², Ivo Vinogradovs²

1: Central Statistical Bureau of Latvia, Latvia; 2: University 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

Gherardo Chirici, Elia Vangi, Giovanni D’Amico

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

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

Krasen Samardzhiev¹, Deyan Samardzhiev¹, Anca Anghelea², Ewelina Dobrowolska³

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

SDGs-EYES Platform for SDG Monitoring

Monica Miguel Lago¹, Francesca Piatto¹, Manuela Balzarolo², Alessandro D'Anca², Jishnu Jeevan², Stefano Natali⁴, Fabio Bacchini³

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

Generalising Earth Observation AI/ML pipelines for European statistics

Remco Paulussen

Statistics Netherlands (CBS)

Strengthening Land Cover Validation: From Community Guidelines to Supporting (Sub)National Applications

Nandika Tsendbazar¹, Alexandra Tyukavina^2,3, Panpan Xu^1,4, Martin Herold⁵, Sytze de Bruin¹, Sarah Carter⁶

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

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

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

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

Frederic Romand, 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

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

The FAO Agro-informatics platform: integration of STAC and OpenEO to support agricultural statistics

Pengyu Hao, Gianluca Franceschini, Karl Morteo, Aya Elzahy, Mohamed Megahed

FAO, 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

Developing Policy-Relevant Mangrove Statistics from EO: Results from the GDA Marine Activity in Cambodia, Ecuador and Guinea-Bissau

Antonello Aiello, Giulio Ceriola

Planetek Italia

Leveraging Remote Sensing for Enhanced Irrigation Performance Assessments in Data-Limited and Water-Scarce Regions Northern Jordan Valley as a Case Study

Nafn Amdar, Karthikeyan Matheswaran, Petra Schmitter, Youssef Brouziyne

IWMI, Jordan, Hashemite Kingdom of

A Deep Learning Framework for Land Use Land Cover Change Forecasting in the Brazilian Amazon

Tiana Assis^1,2, Riccardo D'Ercole¹, Alessandro Caiani², Gabriel Da Rocha Bragion¹

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.

Oscar Rosario Belfiore¹, Guido D'Urso¹, Carlo De Michele², Salvatore Falanga Bolognesi²

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

Adrian Bobowski¹, Jakub Niedźwiedź², Szymon Skrzypczyk¹, Michał Lupa¹

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

Sophie Bontemps¹, Boris Noorgard¹, Pierre Houdmont¹, Sergio Mancheño Losa², Miguel Ángel Álvarez Sánchez², Pierre Defourny¹

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

Vito De Pasquale, Guilio Ceriola, Daniela Drimaco

Planetek Italia

Large-scale detection of land-use transitions using multi-temporal satellite data and deep learning

Alemu Bezie Debay, Nandika Tsendbazar, Robert Masolele, Erika N Speelman

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

Hrishikesh Dutta

TERMA, EUMETSAT, Germany

Flood risk and security prices

Szilard Erhart

JRC, Italy

Integrating Pollutant registers for the climate change risk evaluation of industrial companies in Australia, Europe and North America

Szilard Erhart

JRC, Italy

Wildforest Urban Interface and Earth Observation role on policy implementation

Arnau Ferrandiz, jordi Corbera, Elena Esplandiu, Anna Tardà

Institute Cartographic and Geological of Catalonia, Spain

Geospatial Tools for Green Finance: Supporting Sustainable Project Selection and Impact Measurements

Federico Franciamore, Liv Toonen, Victor Del Val, Ramadhan -

Space4Good, Netherlands, The

Urban Area Mapping and Assessment Using Earth Observation and AI: Methods and a Case Study from Arequipa, Peru

Tomasz Furtak¹, Mirosława Czerny², Marcin Kluczek¹

1: CloudFerro S.A., Poland; 2: University of Warsaw, Poland

Monitoring of SDG 6 indicators in Portugal and Denmark with EO-based algorithms

Walid Ghariani¹, Rado Guzinski¹, Pedro Ribeiro², Alkiviadis Koukos¹, Nuno Grosso², Catarina Duarte³, Miguel Miranda³, André Valente³, Mafalda Carapuço³

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

Andrej Halabuk, Svetlana Košánová, Pavol Kenderessy, Tomáš Rusňák

Institute of Landscape Ecology, Slovak Academy of Sciences, Slovak Republic

Training Sample Migration for Temporal Cropland Mapping in Central Asia

Aiman Batkalova, Pengyu Hao, Zhongxin Chen, Karl Morteo

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

Ann Julie Holt¹, Lisa Landuyt¹, Jan Biesemans¹, Sven Vrielynck², Sarah Roggeman², Jo Van Valckenborgh³

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

Anica Huck¹, Hannes Taubenböck^2,3, Ariane Droin³, Fabian Dosch⁴, Antonia Milbert⁴, Sebastian Klüsener⁵, Tamilwai Kolow⁵, Pascal Schichor¹, Jens Danzeglocke⁶, Michael Wurm², Ines Standfuss², Matthias Weigand², Nikola Sander⁵

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

Chandra Prakash Jha, Silvia Gambi

Antarix Space srl, Italy

The in situ data bottleneck in Earth observation for agriculture: challenges, barriers, and a path forward

Jean Bouchat¹, Jasmin Jilma¹, Espen Volden¹, Pierre Bouchat^2,3

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

Georg Kodl¹, Nicola Ranger², Andy Shaw¹, Gerardo Lopez Saldana¹

1: Assimila, United Kingdom; 2: University of Oxford, United Kingdom

Monitoring Inland Water Quality in Poland Using Python and Sentinel-2 Satellite Imagery

Klaudia Kościuk, Łukasz Firek, Bartosz Skóra, Piotr Krajewski

AGH University of Krakow, Poland

Enhancing Macroeconomic Statistics with Sentinel-1: Monitoring Automotive Production in Germany for Timely Economic Indicators

Franziska Kraft¹, Sandro Martinis¹, Simon Plank¹, José Manuel Delgado Blasco²

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

Christelle VANCUTSEM, Meriam Lahsaini, Miguel VALLEJO ORTI, Mark DOWELL

EC-JRC, Italy

From EO Outputs to Policy Decisions: Applying an Impact Framework to Official Statistics Reporting

Ryan John McCall Laird

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

Athithya Seethalakshmi Loganathan^1,2, Saim Muhammad¹, Sander Oude Elberink²

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.

Alessandro Mercatini, Emiliano Agrillo, Alice Pezzarossa, Nazario Tartaglione

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

Kasimir Alexander Orlowski^1,2, Michele Meroni¹, Filip Szabo¹, Felix Rembold¹

1: ITC (University of Twente); 2: Joint Research Centre, Italy

Scaling Biodiversity Estimation from Sparse Data using Aerial Imagery and Semi-Supervised Learning

Ivana Pallister, Marko Roos, Joep Burger, Patrick Bogaart, Shaya Houdt. van

Statistics Netherlands

An Universal and Index-Agnostic Bitemporal Indicator for Unsupervised Environmental Change Detection from Multispectral Satellite Data

Giovanni Piccolo^1,2, Cinzia Sada¹

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

Pedro Ribeiro¹, Constantinos Lordos¹, Catarina Duarte², Miguel Miranda², André Valente², Mafalda Carapuço², Nuno Grosso¹

1: Indra Space, Portugal; 2: AIR Centre, Portugal

Mapping rice data to support irrigation performance assessment in the Chokwe irrigation scheme, Mozambique

Filippo Sarvia¹, Alyne Spencer^1,2, Jose Bofana^1,3, Virginie Gillet¹, Livia Peiser¹

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

Destin Loge Lokegna¹, Eloïse Guidi², Crystal Wespestad³, Lucas Bembong⁴, Robert Pismo⁵, Maxime Ngemandji Moussa⁵, Christophe Bring⁵, Joseph Armathe Amougou⁴, Timothée Kagonbe⁵, Rene Siwe Ngamabou¹, Carine Bourgeois¹

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

Zuzanna Słobodzian, Bartosz Ptaszek, Kamil Mołodecki, Kacper Krempa

AGH University of Krakow, Poland

Enhancing the Finnish construction project start statistics utilizing EO data

Markus Törmä¹, Riitta Piela², Janne Mäyrä¹, Jonas Lindblad², Ville Helminen¹, Oula Inkeroinen², Matti Kokkonen²

1: Finnish Environment Institute; 2: Statistics Finland

Mapping Air Pollution Inequality Using Sentinel-5P: Integrating EO and Socio-Economic Data to Support Policy Action

Shaya van Houdt, Athithya Loganathan, Chris Lam, Marko Roos

Statistics Netherlands, Netherlands, The

Prediction of grassland yield in Austria: A machine learning approach based on satellite, weather, and extensive in situ data

Andreas Klingler¹, Aleksandar Dujakovic², Francesco Vuolo², Andreas Schaumberger¹

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

Leon Robin Wiesner¹, Vanessa-Sarah Salvo², Francesca Piatto¹

1: EARSC; 2: Institut de Ciències del Mar (ICM-CSIC)