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

From Pilots to Operations: Earth Observation for Official Agricultural Statistics

Lorenzo De Simone

FAO, Italy

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

Copernicus4GEOGLAM Service to support Food Security – A standardised approach for crop type area estimation and mapping

Christophe Sannier¹, Ilaria Palumbo⁶, Daan van Setten¹, Kristoff Van Tricht², Paul van der Voet³, Koen De Vos², Menno de Vries³, Victor Mutepa⁴, Felix Rembold⁷, Bogdan Dovleac⁵

1: GAF AG, Germany; 2: VITO, Belgium; 3: TerraSphere, The Netherlands; 4: VH Consultores, Mozambique; 5: GISBOX, Romania; 6: Seidor S.A., Spain under contract with the European Commission, JRC, Ispra (VA), Italy; 7: European Commission, Joint Research Centre, Ispra, Italy

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

Harnessing EO and census data for subnational risk analyses of environmental hazards

Mikaël J. A. Maes, Villas Vidvei, Ivan Haščič

Organisation for Economic Co-operation and Development (OECD), France

Mapping Urban Realities: Integrating Citizen Science and Earth Observation for the UMF

Dilek Fraisl^1,2, Inian Moorthy¹, Linda See^1,3, Gerid Hager¹, Dennis Mwaniki⁴, Robert Peter Ndugwa⁴

1: International Institute for Applied Systems Analysis (IIASA), Laxenburg, Austria; 2: Citizen Science Global Partnership (CSGP), Laxenbug, Austria; 3: The Bartlett Centre for Advanced Spatial Analysis (CASA), University College London, London, United Kingdom; 4: UN-Habitat (United Nations Human Settlements Programme), Nairobi, Kenya

Spatial Indicators of Soil Sealing for Environmental Monitoring in the Mediterranean: The Ulysses Med Land Approach

Paola Di Lauro, Guilio Ceriola, Daniela Iasillo, Vito De Pasquale, Daniela Drimaco

Planetek Italia

Yearly Urban Tree Canopy and Urban Green Space Coverage Indicators for Germany from Sentinel-2: An Operational Workflow for Deriving Indicators for the EU Nature Restoration Regulation

Michael Förster, Benjamin Stöckigt, Annett Frick

Luftbild Umwelt Planung, Germany

Integrating Earth Observation and Statistical Data through Location-Based Frameworks

Joshua J Coutts¹, Michele Melchiorri², Mark Iliffe³

1: U.S. Census Bureau; 2: European Commission Joint Research Centre; 3: United Nations

A multiscale demand analysis applied to urban cultural ecosystem services: an application in Hannover, Braunschweig (Germany); Milan, Naples (Italy)

Grazia Zulian, Annika Heuser, Benjamin Burkhard

Leibniz University Hannover, Italy

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

Synergies between automated EO image analysis and in-situ observations for area estimation

Julien Radoux, Sophie Bontemps, Boris Nörgaard, Céline Lamarche, Pierre Defourny

Université catholique de Louvain, Belgium

Standardised and Scalable EO Workflows using openEO offered by Copernicus Data Space Ecosystem

Pratichhya Sharma, Hans Vanrompay, Victor Verhaert, Jeroen Dries

VITO, Belgium

Leveraging the APEx Solutions for EO-based statistics: Execute, Analyse and Visualise

Bram Janssen¹, Pratichhya Sharma¹, Daniel Ormsby²

1: VITO, Belgium; 2: Sparkgeo, UK

Workshop - User needs, Experiences, Challenges

Sebastian Marcu, Rolf Maier Bode

Design and Data, Germany

Integrating Multi-Sensor Earth Observation Data for Coastal Change Indicators and Sea-Level Rise Scenarios: A Case Study from Northern Egypt

Mohamed Abdelfattah^1,2,3, Marie-Hélène Rio¹, Zoltan Szantoi¹, Giuseppe Ottavianelli¹, Mariam Hassan Sheta⁴

1: Science, Applications & Climate Department, European Space Agency (ESA-ESRIN), Frascati, Italy; 2: African Research Fellow; 3: Geology department, Faculty of Science, Port Said University, 42522 Port Said, Egypt; 4: Environmental Sciences Department, Faculty of Science, Port Said University, Port Said 42522, Egypt

AgriGuard: A Regional EO-Based Platform for Agriculture and Hazard Monitoring in Support of Policy and Early-Warning Applications

Abdullah Barhy, Almutaz Mohammed, Livia Peiser

Food and Agriculture Organization of the United Nations (FAO), Italy

Hydro-Climatic Drivers of SAR Backscatter in Vineyards to Support Agricultural Statistics

Andrea Bergamaschi¹, Ashmitha Nihar², Abhinav Verma², Anna Verlanti³, Avik Bhattacharya², Fabio Dell'Acqua¹, Ferdinando Nunziata⁴

1: Department of Electrical, Computer, Biomedical Engineering, University of Pavia, Pavia, Italy; 2: Microwave Remote Sensing Lab (MRSLab), Centre of Studies in Resources Engineering, Indian Institute of Technology Bombay, Mumbai, India; 3: Department of Engineering, University of Naples Parthenope, Naples, Italy; 4: Department of Information Engineering, Electronics and Telecommunications, Sapienza University of Rome, Rome, Italy

EO-assisted estimation enhances the precision of National Forest Inventory indicators, also in a data-poor context

Annabel Burg^1,2,3, Sytze de Bruin¹, Johannes Reiche¹, Gert-Jan Nabuurs^2,3

1: Laboratory of Geo-Information Science and Remote Sensing, Wageningen University & Research, the Netherlands; 2: Sustainable Forest Ecosystems, Wageningen Environmental Research, the Netherlands; 3: Forest Ecology and Forest Management Group, Wageningen University & Research, the Netherlands

AI-Powered Web-GIS Platform for EO-Based Transport Infrastructure Monitoring and Risk Management

Giada Possemato⁴, Paolo Caporossi¹, Giovanni Quacquarelli¹, Lorenzo Lipparini², Francesco Menniti³, Gerardo Ferraioli¹

1: TITAN4 S.r.l., Via dell’Arte 19, 00144 Rome, Italy; 2: Department of Earth Science, University of Roma Tre, Via Ostiense, 133, 00154 Rome, Italy; 3: Istituto Superiore per la Protezione e la Ricerca Ambientale (ISPRA), Via Vitaliano Brancati, 48, 00144 Rome, Italy; 4: • University of Rome Sapienza, P.le Aldo Moro, 00185 Roma & TITAN4, Via dell'Arte 19, 00144 Roma

Enhancing Earth Observation to Track Progress Towards the Global Goal on Adaptation

Sarah Connors¹, Rochelle Schneider¹, Johanna Nalau², Michelle Hawkins³, et al⁴

1: ESA, United Kingdom; 2: Australian Centre for Human Evolution, Griffith University, Brisbane, QLD, Australia; 3: National Aeronautics and Space Administration, Washington, D.C., USA; 4: various

Biodiversity Carbon Farming Index (BCFI) - EO-driven Monitoring, Reporting, and Verification (MRV) for Supporting Policy and GHG Inventories

Bernadett Csonka¹, Emma Seneschal¹, Dr. Gerhard Triebnig¹, Madhavan Srijit S¹, Elias Wanko¹, Martin Gruböck², Anne Gruböck¹

1: EOX IT Services, Austria; 2: PRO-NATURE Nature Conservation, Austria

Natural Capital Solutions Platform: Scaling EO-Driven Ecosystem Metrics

Anne Gruböck¹, Emma Seneschal¹, Dr. Gerhard Triebnig¹, Martin Gruböck², Stefan Brand¹, Srijit Madhavan¹, Elias Wanko¹, Anita Miskovic¹, Bernadett Csonka¹

1: EOX IT Services, Austria; 2: PRO-NATURE Nature Conservation NGO, Austria

Improving forest monitoring and management with fine-scale maps of forest parameters at the EU and global scale

Wanda De Keersmaecker¹, Astrid Verhegghen¹, Myroslava Lesiv², Daniele Zanaga¹, Cornelius Senf³, Alba Viana-Soto³, Luc Bertels¹, Steffen Fritz², Johanna Klapper⁴, Lukas Blickensdörfer⁵, Leen Govaere⁶, Bas Lerink⁷, Anja Leyman⁶, Mart-Jan Schelhaas⁷, Sander Teeuwen⁸, Dmitry Schepaschenko², Pieter Johannes Verkerk⁴, Ruben Van De Kerchove¹

1: Flemish Institute for Technological Research; 2: International Institute for Applied Systems Analysis; 3: Technical University of Munich; 4: European Forest Institute; 5: Johann Heinrich von Thünen-Institut; 6: Agency for Nature and Forests; 7: Wageningen Environmental Research; 8: Stichting Probos

Fusing LEO and GEO observations for agricultural monitoring

Riccardo D'Ercole¹, David Seu², Chiara Maria Cocchiara¹

1: Φ-lab, European Space Agency (ESA), ESRIN, Via Galileo Galilei, Frascati, Italy; 2: Co2 Angels, Cluj-Napoca, Romani

Enabling Agentic capabilities in Earth Observation using EVE – applications in the EO Dashboard and drought monitoring

Riccardo D'Ercole¹, Kaushik Pillalamarri², Eva Gmelich Meijling¹, Anca Anghelea³, Chiara Maria Cocchiara³

1: European Space Agency, Φ-Lab, Frascati, Italy; 2: North Carolina State University; 3: European Space Agency, Frascati, Italy

An ensemble-based approach for continuous monitoring and attribution of vegetation loss agents at regional to national scale using Landsat imagery

Vangelis Fotakidis, Giorgos Mallinis

Aristotle University of Thessaloniki, Greece

Leveraging citizen science, Earth Observation, and AI for plastic litter to inform official statistics, SDG reporting, and policy development

Dilek Fraisl¹, Konstantinos Topouzelis², Omar Seidu³, Linda See¹, Maryam Rabiee⁴

1: International Institute for Applied Systems Analysis (IIASA); 2: SciDrones; 3: Ghana Statistical Service (GSS); 4: Sustainable Development Solutions Network (SDSN)

Building Data from High-Resolution Images

Cristina Gabriel, Francisco Caldeira

Statistics Portugal, Portugal

Monitoring Forest Condition and Disturbance with Sentinel-1 SAR: Indicators for Environmental Reporting

Omid Ghorbanzadeh¹, Khalil Gholamnia², Thomas Blaschke¹

1: Department of Geoinformatics—Z_GIS, University of Salzburg, 5020, Salzburg, Austria; 2: Department of Applied Geoinformatics and Cartography, Charles University, Albertov 6, 128 43, Prague 2, Czech Republic

EO-based Grassland Production Index for estimating drought related yield losses: development in mountain environment and current challenges

Giulia Graldi¹, Gaia Vallarino¹, Abhishek Singh¹, Michele Claus¹, Abraham Mejia Aguilar², Alice Crespi³, Mariapina Castelli¹

1: Eurac Research, Institute of Earth Observation, Bolzano, Italy; 2: Eurac Research, terraxcube, Bolzano, Italy; 3: Eurac Research, Center for Climate Change and Transformation, Bolzano, Italy

terrAIntel: Enabling Thematic Earth Observation Data Exploitation through Natural Language Interfaces and Cloud-Native Workflows

Donvan Grobler¹, Markus Tretzmüller², David Hinterndorfer²

1: GeoVille, Austria; 2: cortecs, Austria

Evaluating Deep Learning based Building Damage Assessment Methods in earthquake-affected, densely built-up urban areas: The case of Kahramanmaraş

Julian Kath

OECD, Paris

EO and Spatial Modeling for Urban Climate Risk Assessment in Eight African Cities

Anna Lisa Labaar³, Camilla Foggia², Luca Malatesta², Enrico Mazzoli¹, Fabio Attorre², Marcella Veneziani³

1: FAO; 2: Sapienza Università di Roma; 3: S[&]T Italy

Mapping Urban Trees from Space to support EU Green policies and SDGs

Alice Lhernould, Eve Poitevin, Loïc Faucqueur, Hugues Bellevier-Royal

CLS, France

From public geodata to a multi-dimensional 3d cadastre - a legal-environmental Digital City Twin Concept for Krakow

Hubert Aleksander Malyszek, Aleksandra Podzorska

University of Agriculture in Krakow, Poland

Earth Observation for Statistics (EO4S) in EUROSTAT

Carla Martins¹, Hannes Reuter¹, Zacharias Kandylakis²

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

How Earth Observation facilitates the extensive monitoring of woody landscape features and their ecosystem functions

Verena Huber-Garcia¹, Sarah Schönbrodt-Stitt², Sophie Reinermann¹, Sarah Asam¹, Susanne Karg³, Michael Stellmach³, Kristel Kerler³, Jonas Meier¹, Ursula Gessner¹

1: German Aerospace Center (DLR), Germany; 2: Julius-Maximilians-Universität Würzburg, Germany; 3: Bayerisches Landesamt für Umwelt (LfU), Germany

A predictive model of GDP composition by sector

Bachir Belaid, Daniel Moran

NILU, Norway

High-resolution global land cover maps for national-scale area change estimation and reporting: case study for Uganda

Olga Nepomshina¹, Nandika Tsendbazar², Daniela Requena Suarez¹, Martin Herold¹

1: GFZ Helmholtz Centre for Geosciences, Germany; 2: Wageningen University & Research

High-resolution global land cover maps for national-scale area change estimation and reporting: case study for Uganda

Olga Nepomshina¹, Nandika Tsendbazar², Daniela Requena Suarez¹, Martin Herold¹

1: GFZ Helmholtz Centre for Geosciences, Germany; 2: Wageningen University & Research

A Comprehensive Framework for Scalable and Cost-Effective Crop Monitoring: Leveraging Parcel Segmentation and Satellite Image Time-Series.

Ian Nunes¹, Mateus Pinto^1,2, Jefersson Santos^1,3, Hugo Oliveira^1,2

1: Brazilian Institute of Geography and Statistics, Brazil; 2: Federal University of Viçosa, Brazil; 3: University of Sheffield, UK

SITS-ORDER: Discriminative Error Retrieval for Robust Crop Classification in the US and Brazil

Ian Nunes¹, Mateus Pinto^1,2, Jefersson Santos^1,3, Hugo Oliveira^1,2

1: Brazilian Institute of Geography and Statistics, Brazil; 2: Federal University of Viçosa, Brazil; 3: University of Sheffield, UK

Can remote sensing support biodiversity certification ?

Julien Radoux, Lisa Delvaux, Pierre Defourny

Université catholique de Louvain, Belgium

Assessing Urban Expansion using Copernicus Data Space Ecosystem Data & APIs

William Ray

Sinergise Solutions GmbH, Austria

Operational reporting of SDG 14.1.1 indicator in Portugal and Cape Verde based on CMEMS data

Pedro Ribeiro, Constantinos Lordos, Nuno Grosso

Indra Space, Portugal

Scalable ecosystem indicators on the Baltic GTIF Dashboard

Emma Seneschal¹, Gerhard Triebnig¹, Anne Gruboeck¹, Daniel Santillan¹, Tyna Dolezalova¹, Lubo Dolezal¹, Sylvester Pari¹, Joachim Ungar¹, Edvinas Aglinskas², Bernadett Csonka¹

1: EOX IT Services GmbH, Austria; 2: National Paying Agency Luthiania (NPA)

SDG 15.4.2 Mountain Green Cover-indicator for Finland

Markus Törmä, Pekka Hurskainen

Finnish Environment Institute, Finland

Operational Earth Observation for Wildfire Damage Assessment in Olive Groves: An Integrated Court–Agency Case Study from the Mediterranean Region

Tahsin Unal

Ministry of Agriculture and Forestry, Aliağa District Directorate, Turkiye

Development of past and present annual winter wheat yield statistics at the level of administrative districts (“raions”) in South European Russia based on statistical modelling and large scale EO data

Sergey Venevsky^1,2, Valerii Kulygin¹, Liudmila Dashkevich¹, Sergey Berdnikov¹, Alexey Kleshchenkov¹, Samir Misirov¹, Anna Parfenova¹, Igor Sheverdyaev¹, Vera Sorokina¹

1: FSBIS Federal Research Centre The Southern Scientific Centre of The Russian Academy of Sciences, Russia; 2: Tsnghua University

Optimizing Crowdsourced Training Samples for Large-Scale Crop Mapping

Qingying Wu¹, Qiangyi Yu¹, Hendrik Boogaard², Arun Pratihast²

1: The Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing, China; 2: Wageningen Environmental Research, Wageningen University and Research, Wageningen, The Netherlands