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

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

Bram Janssen, Pratichhya Sharma

VITO, Belgium

Build your own EO statistics showcase with the APEx Geospatial Explorer

Daniel Ormsby¹, Adam Tweedie¹, Bram Janssen², Patrick Griffiths³

1: Sparkgeo, United Kingdom; 2: VITO; 3: ESA

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

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

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

Benjamin Stöckigt, Annett Frick, Michael Förster

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

Co-development of small area population estimates with governments to fill demographic data gaps

Andrew Tatem

WorldPop, University of Southampton, United Kingdom

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

Earth Observation for Statistics (EO4S) in EUROSTAT

Carla Martins¹, Hannes Reuter¹, Zacharias Kandylakis²

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

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

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

CLS, France

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)

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

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

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

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

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

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

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

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

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

CLS, France

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)

Building Data from High-Resolution Images

Francisco Caldeira, Cristina Gabriel

Statistics Portugal, Portugal

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

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

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

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

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

The Tropical Forest Forever Facility: support tools by the Joint Research Centre

Rene Colditz, Clement Bourgoin, Christelle Vancutsem, Frederic Achard

Joint Research Centre, Italy

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)

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

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

The Satellite-Based Crisis and Spatial Information Service (SKD) at BKG (Germany): A National EO Service for supporting evidence-based decision-making and policy implementation

Mathias Leidig, Sascha Rabinowitsch, Sebastian Förtsch, Maximiliane Pausch, Laura Schmied, Julia Kluge

Federal Agency for Cartography and Geodesy, Germany

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

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

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

Szilard Erhart

JRC, Italy

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

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

1: DHI, Denmark; 2: Indra Space, Portugal; 3: AIR Centre, Portugal

Not All Fires Are Equal: Toward a Fire‑Sensitive Land Degradation Index for Africa

Lucy Kimani

Climate Impact Partners, Kenya

SDG 15.4.2 Mountain Green Cover-indicator for Finland

Markus Törmä, Pekka Hurskainen

Finnish Environment Institute, Finland

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

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

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

Assessing Urban Expansion using Copernicus Data Space Ecosystem Data & APIs

William Ray

Sinergise Solutions GmbH, Austria

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

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

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

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

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

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

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

Automated Deep Learning for Large-Scale Forest Attribute Estimation and Tree Species Mapping from Multi-Source Remote Sensing Data

Mohamed Islam Keskes, Mihai Daniel Niţă

Universitatea Transilvania din Brasov, Romania

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

Reimagining land cover mapping: EO as a catalyst for innovation in Northern Ireland

Sara Stewart

Ordnance Survey of Northern Ireland (OSNI), United Kingdom

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

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

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

Open-Pit Mining Detection & Monitoring

Zuzanna Słobodzian, Bartosz Ptaszek, Kamil Mołodecki, Kacper Krempa

AGH University of Krakow, Poland

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

A physics-informed hybrid deep learning model for spatio-temporal rice disease prediction integrating multi-source data

Zichao Jin¹, Jingcheng Zhang^1,3, Lin Yuan^2,3, Zhongxin Chen³

1: Hangzhou Dianzi University, China, People's Republic of; 2: Zhejiang University of Water Resources and Electric Power, China, People's Republic of; 3: 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

From Subregional Statistics to Farms: How Can AI Learn Crop Yield at This Scale?

Filip Sabo, Elise Bakker, Martin Claverie, Michele Meroni

Joint Research Centre, Italy

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

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

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

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

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

Julian Kath

OECD, Paris

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

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

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

GeoBioRemediation: EO for EU Soil Monitoring Compliance

Chandra Prakash Jha, Silvia Gambi

Antarix Space srl, Italy

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

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

A Pan-European Dataset of Forest Structural Diversity Indicators

Marco Girardello, Gonzalo Oton, Matteo Piccardo, Mark Pickering, Agata Elia, Guido Ceccherini, Mariano Garcia, Mirco Migliavacca, Alessandro Cescatti

Trinity College Dublin, Ireland

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

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

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

Can remote sensing support biodiversity certification ?

Julien Radoux, Lisa Delvaux, Pierre Defourny

Université catholique de Louvain, Belgium

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

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

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

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

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

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

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

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

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

Assessing Long‑Term PM2.5 Variability and Public Health Impacts in a Tropical Coastal Region of India

Sajna Peediyakkathodi¹, Krishnamohan KS¹, Usha K Aravind¹, Jayanarayanan Kuttippurath², Bindu G³

1: School of Environmental Studies, Cochin University of Science and Technology, Kochi 682022, Kerala, India; 2: CORAL, Indian Institute of Technology, Kharagpur, West Bengal, India; 3: Nansen Environmental Research Centre (India), KUFOS Amenity Centre, Kochi - 682506, India.

From Pixels to Policy: Translating Earth Observation into Research-Ready Evidence

Elisabetta Pietrostefani¹, Dani Arribas-Bel¹, Rachel Franklin²

1: University of Liverpool; 2: Harvard University

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

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, Ursula Gessner¹

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

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

EOAgriTwin: A Digital Twin for Agriculture under Multiple Stressors

Gohar Ghazaryan^1,4, Maximilian Schwarz², Jamina Bondad¹, Michele Croci³, Philippe Rufin^4,6, Jonas Schreier¹, Florian Poetzschner⁴, Irene Salotti³, Stefano Amaducci³, Paola Battilani³, Tobias Landmann⁵, Collins Bett⁵, Victor Kimaru⁵, Manuele Ragazzi³, Isabel Augscheller², Patrick Hostert⁴, Claas Nendel^1,7,8

1: Leibniz Centre for Agricultural Landscape Research (ZALF), Germany; 2: Remote Sensing Solutions GmbH, Munich, Germany; 3: Department of Sustainable Crop Production, Università Cattolica del Sacro Cuore, Piacenza, Italy; 4: Geography Department, Humboldt-Universität zu Berlin, Berlin, Germany; 5: International Centre of Insect Physiology and Ecology, Nairobi, Kenya; 6: Earth & Life Institute, UCLouvain, Louvain-La-Neuve, Belgium; 7: Institute of Biochemistry and Biology, University of Potsdam, Potsdam, Germany; 8: Global Change Research Institute CAS, Brno, Czech Republic

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

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

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

Space4Good, Netherlands, The

Remote Sensing of Urban Ecosystem Value: From GDP to Gross Ecosystem Product Using Nighttime Light Data

Francesco Sica

Sapienza University, Rome, Italy, Italy

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

Flood risk and security prices

Szilard Erhart

JRC, Italy

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