Conference Agenda
Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).
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Daily Overview |
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Welcome drink and POSTER SESSION 1
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ID: 253
/ 1.6: 1
Integrating Multi-Sensor Earth Observation Data for Coastal Change Indicators and Sea-Level Rise Scenarios: A Case Study from Northern Egypt 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: 212
/ 1.6: 2
AgriGuard: A Regional EO-Based Platform for Agriculture and Hazard Monitoring in Support of Policy and Early-Warning Applications Food and Agriculture Organization of the United Nations (FAO), Italy ID: 226
/ 1.6: 3
Hydro-Climatic Drivers of SAR Backscatter in Vineyards to Support Agricultural Statistics 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: 248
/ 1.6: 4
EO-assisted estimation enhances the precision of National Forest Inventory indicators, also in a data-poor context 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: 210
/ 1.6: 5
AI-Powered Web-GIS Platform for EO-Based Transport Infrastructure Monitoring and Risk Management 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; 4• University of Rome Sapienza, P.le Aldo Moro, 00185 Roma & TITAN4, Via dell'Arte 19, 00144 Roma ID: 169
/ 1.6: 6
Enhancing Earth Observation to Track Progress Towards the Global Goal on Adaptation 1ESA, United Kingdom; 2Australian Centre for Human Evolution, Griffith University, Brisbane, QLD, Australia; 3National Aeronautics and Space Administration, Washington, D.C., USA; 4various ID: 307
/ 1.6: 7
Biodiversity Carbon Farming Index (BCFI) - EO-driven Monitoring, Reporting, and Verification (MRV) for Supporting Policy and GHG Inventories 1EOX IT Services, Austria; 2PRO-NATURE Nature Conservation, Austria ID: 310
/ 1.6: 8
Natural Capital Solutions Platform: Scaling EO-Driven Ecosystem Metrics 1EOX IT Services, Austria; 2PRO-NATURE Nature Conservation NGO, Austria ID: 184
/ 1.6: 9
Improving forest monitoring and management with fine-scale maps of forest parameters at the EU and global scale 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: 301
/ 1.6: 10
Fusing LEO and GEO observations for agricultural monitoring 1Φ-lab, European Space Agency (ESA), ESRIN, Via Galileo Galilei, Frascati, Italy; 2Co2 Angels, Cluj-Napoca, Romani ID: 324
/ 1.6: 11
Enabling Agentic capabilities in Earth Observation using EVE – applications in the EO Dashboard and drought monitoring 1European Space Agency, Φ-Lab, Frascati, Italy; 2North Carolina State University; 3European Space Agency, Frascati, Italy ID: 318
/ 1.6: 12
An ensemble-based approach for continuous monitoring and attribution of vegetation loss agents at regional to national scale using Landsat imagery Aristotle University of Thessaloniki, Greece ID: 112
/ 1.6: 13
Leveraging citizen science, Earth Observation, and AI for plastic litter to inform official statistics, SDG reporting, and policy development 1International Institute for Applied Systems Analysis (IIASA); 2SciDrones; 3Ghana Statistical Service (GSS); 4Sustainable Development Solutions Network (SDSN) ID: 107
/ 1.6: 14
Building Data from High-Resolution Images Statistics Portugal, Portugal ID: 132
/ 1.6: 15
Monitoring Forest Condition and Disturbance with Sentinel-1 SAR: Indicators for Environmental Reporting 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: 130
/ 1.6: 16
EO-based Grassland Production Index for estimating drought related yield losses: development in mountain environment and current challenges 1Eurac Research, Institute of Earth Observation, Bolzano, Italy; 2Eurac Research, terraxcube, Bolzano, Italy; 3Eurac Research, Center for Climate Change and Transformation, Bolzano, Italy ID: 208
/ 1.6: 17
terrAIntel: Enabling Thematic Earth Observation Data Exploitation through Natural Language Interfaces and Cloud-Native Workflows 1GeoVille, Austria; 2cortecs, Austria ID: 164
/ 1.6: 18
Evaluating Deep Learning based Building Damage Assessment Methods in earthquake-affected, densely built-up urban areas: The case of Kahramanmaraş OECD, Paris ID: 262
/ 1.6: 19
EO and Spatial Modeling for Urban Climate Risk Assessment in Eight African Cities 1FAO; 2Sapienza Università di Roma; 3S[&]T Italy ID: 126
/ 1.6: 20
Mapping Urban Trees from Space to support EU Green policies and SDGs CLS, France ID: 246
/ 1.6: 21
From public geodata to a multi-dimensional 3d cadastre - a legal-environmental Digital City Twin Concept for Krakow University of Agriculture in Krakow, Poland ID: 237
/ 1.6: 22
Earth Observation for Statistics (EO4S) in EUROSTAT 1European Commission DG EUROSTAT, Luxembourg; 2Sword Group ID: 135
/ 1.6: 23
How Earth Observation facilitates the extensive monitoring of woody landscape features and their ecosystem functions 1German Aerospace Center (DLR), Germany; 2Julius-Maximilians-Universität Würzburg, Germany; 3Bayerisches Landesamt für Umwelt (LfU), Germany ID: 206
/ 1.6: 24
A predictive model of GDP composition by sector NILU, Norway ID: 290
/ 1.6: 25
High-resolution global land cover maps for national-scale area change estimation and reporting: case study for Uganda 1GFZ Helmholtz Centre for Geosciences, Germany; 2Wageningen University & Research ID: 312
/ 1.6: 26
High-resolution global land cover maps for national-scale area change estimation and reporting: case study for Uganda 1GFZ Helmholtz Centre for Geosciences, Germany; 2Wageningen University & Research ID: 302
/ 1.6: 27
A Comprehensive Framework for Scalable and Cost-Effective Crop Monitoring: Leveraging Parcel Segmentation and Satellite Image Time-Series. 1Brazilian Institute of Geography and Statistics, Brazil; 2Federal University of Viçosa, Brazil; 3University of Sheffield, UK ID: 304
/ 1.6: 28
SITS-ORDER: Discriminative Error Retrieval for Robust Crop Classification in the US and Brazil 1Brazilian Institute of Geography and Statistics, Brazil; 2Federal University of Viçosa, Brazil; 3University of Sheffield, UK ID: 133
/ 1.6: 29
Can remote sensing support biodiversity certification ? Université catholique de Louvain, Belgium ID: 106
/ 1.6: 30
Assessing Urban Expansion using Copernicus Data Space Ecosystem Data & APIs Sinergise Solutions GmbH, Austria ID: 242
/ 1.6: 31
Operational reporting of SDG 14.1.1 indicator in Portugal and Cape Verde based on CMEMS data Indra Space, Portugal ID: 277
/ 1.6: 32
Scalable ecosystem indicators on the Baltic GTIF Dashboard 1EOX IT Services GmbH, Austria; 2National Paying Agency Luthiania (NPA) ID: 156
/ 1.6: 33
SDG 15.4.2 Mountain Green Cover-indicator for Finland Finnish Environment Institute, Finland ID: 144
/ 1.6: 34
Operational Earth Observation for Wildfire Damage Assessment in Olive Groves: An Integrated Court–Agency Case Study from the Mediterranean Region Ministry of Agriculture and Forestry, Aliağa District Directorate, Turkiye ID: 123
/ 1.6: 35
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 1FSBIS Federal Research Centre The Southern Scientific Centre of The Russian Academy of Sciences, Russia; 2Tsnghua University ID: 288
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Optimizing Crowdsourced Training Samples for Large-Scale Crop Mapping 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 | ||
