Conference Agenda

ID: 237 / 1.6: 1

Earth Observation for Statistics (EO4S) in EUROSTAT

Carla Martins¹, Hannes Reuter¹, Zacharias Kandylakis²

¹European Commission DG EUROSTAT, Luxembourg; ²Sword Group

ID: 127 / 1.6: 2

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

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

CLS, France

ID: 112 / 1.6: 3

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

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

ID: 195 / 1.6: 4

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

ID: 181 / 1.6: 5

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

ID: 105 / 1.6: 6

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

ID: 269 / 1.6: 7

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

¹Indra Space, Portugal; ²AIR Centre, Portugal

ID: 157 / 1.6: 8

Enhancing the Finnish construction project start statistics utilizing EO data

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

¹Finnish Environment Institute; ²Statistics Finland

ID: 248 / 1.6: 9

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

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

ID: 281 / 1.6: 10

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

¹Statistics Netherlands (CBS); ²University of Twente

ID: 126 / 1.6: 12

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

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

CLS, France

ID: 277 / 1.6: 13

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

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

ID: 107 / 1.6: 14

Building Data from High-Resolution Images

Francisco Caldeira, Cristina Gabriel

Statistics Portugal, Portugal

ID: 285 / 1.6: 15

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

ID: 242 / 1.6: 16

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

ID: 208 / 1.6: 17

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

Donvan Grobler¹, Markus Tretzmüller², David Hinterndorfer²

¹GeoVille, Austria; ²cortecs, Austria

ID: 206 / 1.6: 18

A predictive model of GDP composition by sector

Bachir Belaid, Daniel Moran

NILU, Norway

ID: 312 / 1.6: 19

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

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

ID: 123 / 1.6: 20

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

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

ID: 182 / 1.6: 21

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

Rene Colditz, Clement Bourgoin, Christelle Vancutsem, Frederic Achard

Joint Research Centre, Italy

ID: 216 / 1.6: 23

A Standards-Driven Maturity Framework for Ensuring Data Credibility and Scientific Validity for Regulatory Environmental Evidence

Leon Robin Wiesner¹, Vanessa-Sarah Salvo², Francesca Piatto¹

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

ID: 197 / 1.6: 24

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

ID: 130 / 1.6: 25

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

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

ID: 239 / 1.6: 26

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

ID: 293 / 1.6: 27

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

ID: 176 / 1.6: 28

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

Giovanni Piccolo^1,2, Cinzia Sada¹

¹Università Degli Studi di Padova, Italy; ²Engineering Ingegneria Informatica S.p.A

ID: 245 / 1.6: 29

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

Szilard Erhart

JRC, Italy

ID: 265 / 1.6: 30

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

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

ID: 241 / 1.6: 31

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

Lucy Kimani

Climate Impact Partners, Kenya

ID: 156 / 1.6: 32

SDG 15.4.2 Mountain Green Cover-indicator for Finland

Markus Törmä, Pekka Hurskainen

Finnish Environment Institute, Finland

ID: 166 / 1.6: 33

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

ID: 190 / 1.6: 34

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

¹Institute of Plant Production and Cultural Landscape, Agricultural Research and Education Centre Raumberg-Gumpenstein, Raumberg 38, Irdning‑Donnersbachtal 8952, Austria; ²BOKU University, Austria

ID: 304 / 1.6: 35

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

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

ID: 106 / 1.6: 36

Assessing Urban Expansion using Copernicus Data Space Ecosystem Data & APIs

William Ray

Sinergise Solutions GmbH, Austria

ID: 301 / 1.6: 37

Fusing LEO and GEO observations for agricultural monitoring

Riccardo D'Ercole¹, David Seu², Chiara Maria Cocchiara¹

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

ID: 214 / 1.6: 38

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

¹AGH University, Faculty of Space Technologies; ²AGH University, Faculty of Geology, Geophysics and Environmental Protection

ID: 175 / 1.6: 39

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

¹European Space Imaging, Germany; ²German Aerospace Center (DLR), Earth Observation Center (EOC), 82234 Oberpfaffenhofen, Germany; ³Institute for Geography and Geology, Julius-Maximilians-Universitat ¨ Würzburg, 97074 Würzburg, Germany; ⁴Federal Institute for Research on Building, Urban Affairs and Spatial Development (BBSR), 53179 Bonn, Germany; ⁵Federal Institute for Population Research (BIB), 65185 Wiesbaden, Germany; ⁶German Aerospace Center (DLR), Space Agency, Earth Observation, 53227 Bonn, Germany

ID: 307 / 1.6: 40

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

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

ID: 193 / 1.6: 41

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

¹University of Naples Federico II, Italy; ²Ariespace srl, Spin off company University of Naples Federico II

ID: 184 / 1.6: 42

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

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

ID: 116 / 1.6: 43

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

¹Food and Agriculture Organization of the United Nations, 00153 Rome, Italy; ²School of Information Management and Data Science, NOVA University of Lisbon, 1070-312 Lisbon; ³Faculdade de Ciências Agronómicas, Universidade Católica de Moçambique (UCM FCA), Cuamba 3305, Niassa, Mozambique

ID: 137 / 1.6: 44

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

ID: 204 / 1.6: 45

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

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

ID: 173 / 1.6: 46

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

Sara Stewart

Ordnance Survey of Northern Ireland (OSNI), United Kingdom

ID: 260 / 1.6: 47

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

¹UCLouvain, Belgium; ²Ministry of Agriculture, Fisheries and Food, Spain

ID: 212 / 1.6: 48

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

ID: 315 / 1.6: 49

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

ID: 306 / 1.6: 50

Open-Pit Mining Detection & Monitoring

Zuzanna Słobodzian, Bartosz Ptaszek, Kamil Mołodecki, Kacper Krempa

AGH University of Krakow, Poland

ID: 240 / 1.6: 51

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

¹European Space Agency (ESA), Frascati, Italy; ²PErSEUs, University of Lorraine, Metz, France; ³Psychological Sciences Research Institute, UCLouvain, Louvain-la-Neuve, Belgium

ID: 143 / 1.6: 52

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

¹Hangzhou Dianzi University, China, People's Republic of; ²Zhejiang University of Water Resources and Electric Power, China, People's Republic of; ³Food and Agriculture Organization of the United Nations, Italy

ID: 243 / 1.6: 53

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

¹VITO, Unit Environmental Intelligence, Group Remote Sensing; ²ANB (Agency of Nature and Forest), Group Nature inspection; ³DV (Agency Digital Flanders), Group Earth Observation Data Science

ID: 254 / 1.6: 54

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

ID: 210 / 1.6: 55

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

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

¹TITAN4 S.r.l., Via dell’Arte 19, 00144 Rome, Italy; ²Department of Earth Science, University of Roma Tre, Via Ostiense, 133, 00154 Rome, Italy; ³Istituto Superiore per la Protezione e la Ricerca Ambientale (ISPRA), Via Vitaliano Brancati, 48, 00144 Rome, Italy

ID: 302 / 1.6: 56

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

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

ID: 228 / 1.6: 57

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

ID: 164 / 1.6: 58

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

Julian Kath

OECD, Paris

ID: 255 / 1.6: 59

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

ID: 148 / 1.6: 60

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

ID: 246 / 1.6: 62

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

ID: 179 / 1.6: 63

GeoBioRemediation: EO for EU Soil Monitoring Compliance

Chandra Prakash Jha, Silvia Gambi

Antarix Space srl, Italy

ID: 138 / 1.6: 64

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

ID: 144 / 1.6: 65

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

ID: 219 / 1.6: 66

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

ID: 262 / 1.6: 67

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

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

ID: 297 / 1.6: 68

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

¹Φ-lab ESA/ESRIN, Italy; ²IUSS Pavia

ID: 295 / 1.6: 69

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

¹US Forest Service International Program and Trade; ²Coalition for Rainforest; ³Spatial Informatics Group; ⁴Observatoire national des changements climatiques; ⁵Ministry of the Environment, Protection of Nature and Sustainable Development

ID: 133 / 1.6: 70

Can remote sensing support biodiversity certification ?

Julien Radoux, Lisa Delvaux, Pierre Defourny

Université catholique de Louvain, Belgium

ID: 169 / 1.6: 71

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

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

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

ID: 120 / 1.6: 72

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

¹German Aerospace Center (DLR), German Remote Sensing Data Center (DFD), Oberpfaffenhofen, Germany; ²European Space Agency (ESA), Φ-lab, Earth Observation Climate Action, Sustainability and Science Department (EOP-S), Frascati, Italy

ID: 310 / 1.6: 73

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

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

ID: 132 / 1.6: 74

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

Omid Ghorbanzadeh¹, Khalil Gholamnia², Thomas Blaschke¹

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

ID: 288 / 1.6: 75

Optimizing Crowdsourced Training Samples for Large-Scale Crop Mapping

Qingying Wu¹, Qiangyi Yu¹, Hendrik Boogaard², Arun Pratihast²

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

ID: 162 / 1.6: 76

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

ID: 318 / 1.6: 77

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

ID: 226 / 1.6: 78

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

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

ID: 292 / 1.6: 79

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

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

ID: 296 / 1.6: 80

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

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

ID: 183 / 1.6: 81

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

Elisabetta Pietrostefani¹, Dani Arribas-Bel¹, Rachel Franklin²

¹University of Liverpool; ²Harvard University

ID: 290 / 1.6: 82

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

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

ID: 135 / 1.6: 83

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

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

ID: 316 / 1.6: 84

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

ID: 211 / 1.6: 85

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

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

ID: 253 / 1.6: 86

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

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

ID: 160 / 1.6: 87

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

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

Space4Good, Netherlands, The

ID: 314 / 1.6: 88

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

Francesco Sica

Sapienza University, Rome, Italy, Italy

ID: 303 / 1.6: 89

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

Tomasz Furtak¹, Mirosława Czerny², Marcin Kluczek¹

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

ID: 244 / 1.6: 90

Flood risk and security prices

Szilard Erhart

JRC, Italy

ID: 324 / 1.6: 91

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

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