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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POSTER SESSION 2 with drink
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| Presentations | ||
ID: 195
/ 2.5: 1
Developing Policy-Relevant Mangrove Statistics from EO: Results from the GDA Marine Activity in Cambodia, Ecuador and Guinea-Bissau Planetek Italia ID: 138
/ 2.5: 2
Leveraging Remote Sensing for Enhanced Irrigation Performance Assessments in Data-Limited and Water-Scarce Regions Northern Jordan Valley as a Case Study IWMI, Jordan, Hashemite Kingdom of ID: 297
/ 2.5: 3
A Deep Learning Framework for Land Use Land Cover Change Forecasting in the Brazilian Amazon 1Φ-lab ESA/ESRIN, Italy; 2IUSS Pavia ID: 193
/ 2.5: 4
Earth Observation and irrigation water accounting from the field to the regional scale: operational support to sustainable management of irrigation water resources. 1University of Naples Federico II, Italy; 2Ariespace srl, Spin off company University of Naples Federico II ID: 214
/ 2.5: 5
The Use of Satellite Technologies in Mapping Flood Extent and Analysis of Its Impact on the Availability of Ambulances in Flood Areas 1AGH University, Faculty of Space Technologies; 2AGH University, Faculty of Geology, Geophysics and Environmental Protection ID: 260
/ 2.5: 6
Assessing the Potential of Satellite Data to Improve Agricultural Statistics in Spain 1UCLouvain, Belgium; 2Ministry of Agriculture, Fisheries and Food, Spain ID: 197
/ 2.5: 7
An EO and Economic Data Framework for Estimating the Magnitude and Spatial Distribution of Informal Trade (Bazaar) in Central Asia Planetek Italia ID: 316
/ 2.5: 8
Large-scale detection of land-use transitions using multi-temporal satellite data and deep learning Wageningen University and Research, Netherlands, The ID: 162
/ 2.5: 9
Integrating Earth Observation and Survey Data for Bias-Corrected Crop Area Estimation: An Operational Framework Using Sentinel and LUCAS Data TERMA, EUMETSAT, Germany ID: 244
/ 2.5: 10
Flood risk and security prices JRC, Italy ID: 245
/ 2.5: 11
Integrating Pollutant registers for the climate change risk evaluation of industrial companies in Australia, Europe and North America JRC, Italy ID: 148
/ 2.5: 12
Wildforest Urban Interface and Earth Observation role on policy implementation Institute Cartographic and Geological of Catalonia, Spain ID: 160
/ 2.5: 13
Geospatial Tools for Green Finance: Supporting Sustainable Project Selection and Impact Measurements Space4Good, Netherlands, The ID: 303
/ 2.5: 14
Urban Area Mapping and Assessment Using Earth Observation and AI: Methods and a Case Study from Arequipa, Peru 1CloudFerro S.A., Poland; 2University of Warsaw, Poland ID: 265
/ 2.5: 15
Monitoring of SDG 6 indicators in Portugal and Denmark with EO-based algorithms 1DHI, Denmark; 2Indra Space, Portugal; 3AIR Centre, Portugal ID: 315
/ 2.5: 16
From Spectral Signals to Harmonized Statistics: Upscaling Sentinel-2 Yield Stability for Regional Reporting Institute of Landscape Ecology, Slovak Academy of Sciences, Slovak Republic ID: 166
/ 2.5: 17
Training Sample Migration for Temporal Cropland Mapping in Central Asia Food and Agriculture Organization of the United Nations, Italy ID: 243
/ 2.5: 18
EO-based detection of disturbance in grasslands and small landscape elements to support environmental policy enforcement 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: 175
/ 2.5: 19
The tolerance of spatial statistics for methodological or conceptual ambiguities– exemplified by the degree of urbanization in Germany 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: 179
/ 2.5: 20
GeoBioRemediation: EO for EU Soil Monitoring Compliance Antarix Space srl, Italy ID: 240
/ 2.5: 21
The in situ data bottleneck in Earth observation for agriculture: challenges, barriers, and a path forward 1European Space Agency (ESA), Frascati, Italy; 2PErSEUs, University of Lorraine, Metz, France; 3Psychological Sciences Research Institute, UCLouvain, Louvain-la-Neuve, Belgium ID: 204
/ 2.5: 22
Democratising Deforestation Intelligence for Sovereign Finance: A Replicable EO Framework for Sustainability-Linked Bonds in Uganda 1Assimila, United Kingdom; 2University of Oxford, United Kingdom ID: 255
/ 2.5: 23
Monitoring Inland Water Quality in Poland Using Python and Sentinel-2 Satellite Imagery AGH University of Krakow, Poland ID: 120
/ 2.5: 24
Enhancing Macroeconomic Statistics with Sentinel-1: Monitoring Automotive Production in Germany for Timely Economic Indicators 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: 181
/ 2.5: 25
Reducing Cross-Policy Reporting Burden Through Earth Observation Integration: an example of peatlands and carbon monitoring EC-JRC, Italy ID: 293
/ 2.5: 26
From EO Outputs to Policy Decisions: Applying an Impact Framework to Official Statistics Reporting Green Orbit Space Communications and PR, United Kingdom ID: 281
/ 2.5: 28
From Aerial Imagery to Official Statistics: Integrating Registry Data in Operational Deep Learning for Fine-Grained Built-Up Area Mapping in the Netherlands 1Statistics Netherlands (CBS); 2University of Twente ID: 228
/ 2.5: 29
Assessing Post-Fire Land Cover Evolution in Pisani Mountains: A Random Forest Approach with Bootstrapped NDVI Trend Analysis using Sentinel-2. Italian Institute fo Environmental Protection and Research, Italy ID: 292
/ 2.5: 30
When does very high resolution matter? A stratified evaluation of cocoa maps across canopy closure and landscape fragmentation in Côte d’Ivoire 1ITC (University of Twente); 2Joint Research Centre, Italy ID: 105
/ 2.5: 31
Scaling Biodiversity Estimation from Sparse Data using Aerial Imagery and Semi-Supervised Learning Statistics Netherlands ID: 176
/ 2.5: 32
An Universal and Index-Agnostic Bitemporal Indicator for Unsupervised Environmental Change Detection from Multispectral Satellite Data 1Università Degli Studi di Padova, Italy; 2Engineering Ingegneria Informatica S.p.A ID: 269
/ 2.5: 33
Tackling the challenge of monitoring SDG indicators for fisheries in SIDS 1Indra Space, Portugal; 2AIR Centre, Portugal ID: 116
/ 2.5: 34
Mapping rice data to support irrigation performance assessment in the Chokwe irrigation scheme, Mozambique 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: 295
/ 2.5: 35
A Sample-Based, Multi-Sensor Assessment of Land-Use and Land-Cover Change in Cameroon Using Collect Earth Online 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: 306
/ 2.5: 36
Open-Pit Mining Detection & Monitoring AGH University of Krakow, Poland ID: 157
/ 2.5: 37
Enhancing the Finnish construction project start statistics utilizing EO data 1Finnish Environment Institute; 2Statistics Finland ID: 285
/ 2.5: 38
Mapping Air Pollution Inequality Using Sentinel-5P: Integrating EO and Socio-Economic Data to Support Policy Action Statistics Netherlands, Netherlands, The ID: 190
/ 2.5: 39
Prediction of grassland yield in Austria: A machine learning approach based on satellite, weather, and extensive in situ data 1Institute of Plant Production and Cultural Landscape, Agricultural Research and Education Centre Raumberg-Gumpenstein, Raumberg 38, Irdning‑Donnersbachtal 8952, Austria; 2BOKU University, Austria ID: 216
/ 2.5: 40
A Standards-Driven Maturity Framework for Ensuring Data Credibility and Scientific Validity for Regulatory Environmental Evidence 1EARSC; 2Institut de Ciències del Mar (ICM-CSIC) | ||
