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 summarys and downloads if available).
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Session Overview |
Date: Wednesday, 28/May/2025 | ||
8:00am - 5:00pm |
Registration Location: Foyer - Ground Floor |
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9:00am - 9:30am |
Keynote 3: Lukáš Brodský: Advancing Remote Sensing with Deep Learning: Challenges, Innovations, and Future Directions Location: Room 131 (Aula) Chair: Lena Halounova Chair: Eva Matoušková |
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9:35am - 11:00am |
Geology: Geological Applications Location: Room 131 (Aula) Chair: Konstantinos Nikolakopoulos Chair: Aggeliki S. Kyriou A ten-year research in landslides of Western Greece using UAVs. University of Patras, Greece Satellite Imagery for Bauxite Tailing Mapping in the Frame of the M4mining Project 1: University of Patras; 2: National Observatory of Athens; 3: GFZ; 4: Norsk Elektro Optikk AS; 5: ReSe Applications LLC Devastating Natural Hazard Observation With The Combination Of Optical And Microwave Remote Sensing Datasets Valencia 2025 Flood konya technical university, Turkiye |
GS 4: General session IV. Location: Room 200 Chair: Lucie Kupková Sentinel-2 Time Series And Machine Learning Models for Fuel Type Classification in Mediterranean regions 1: Politecnico di Milano, Dipartimento di Ingegneria Civile e Ambientale, Italy; 2: Consiglio Nazionale delle Ricerche - Istituto di Geologia Ambientale e Geoingegneria (CNR-IGAG), Italy; 3: Consiglio Nazionale delle Ricerche - Istituto Per La Bioeconomia (CNR-IBE), Italy; 4: Consiglio Nazionale delle Ricerche - Istituto per il Rilevamento Elettromagnetico dell’Ambiente (CNR-IREA), Italy Dimension Expansion-based Spatiotemporal Land Cover Change Detection: A Study Case Using Sentinel-2 Satellite Time Series University of Bayreuth, Germany Reaching New Heights: How to Get High-quality 3D Vegetation Structure Data Czech University of Life Sciences Prague, Czech Republic Implementation of Two-Step Structural Damage Analysis Based on Foundation Models : Case Study for Small Size Bridge in South Korea Innopam co., ltd., Korea, Republic of (South Korea) |
11:00am - 11:30am |
Coffee Break Location: 2nd Floor - Main Corridor |
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11:30am - 11:45am |
Sponsor Talk: Platinum Sponsor Presentation: Headwall (headwallphotonics.com) Location: Room 131 (Aula) |
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11:45am - 1:15pm |
Young Scientist Awards: Session includes a pre-selection of oral presentations by YSc authors who have applied for the award. Location: Room 131 (Aula) Chair: Jean-Christophe Schyns Chair: Eva Matoušková Deciphering Exterior: Building Energy Efficiency Prediction with Emerging Urban Big Data 1: Sustainable Design Group, University of Cambridge, United Kingdom; 2: Department of Civil and Environmental Engineering, The Hong Kong University of Science and Technology, Hong Kong; 3: Urban Big Data Centre, School of Social and Political Sciences, University of Glasgow, Glasgow, United Kingdom; 4: Institute of Remote Sensing and Geographical Information System, School of Earth and Space Sciences, Peking University, Beijing, China Mapping Agricultural Landscape Heterogeneity over Six Decades: Automatic Field Segmentation Using Historic and Modern Remote Sensing Data 1: TUD Dresden University of Technology, Junior Professorship in Environmental Remote Sensing, Dresden, Germany; 2: University of Bonn, Institute of Crop Science and Resource Conservation, Bonn, Germany Mapping Slums in Kenya by a Combination of Building Footprint Metrics and Optical Imagery 1: Institute of Environmental Studies, Vrije University Amsterdam, The Netherlands; 2: Department of Architecture, University of Naples Federico II, Italy The Role Of Land Use Intensity On Vegetation Recovery Gradients After Land Abandonment In The Semiarid SE Alentejo, Portugal 1: CICS.NOVA - Centro Interdisciplinar de Ciências Sociais, FCSH-UNL, Lisbon, Portugal; 2: Inter-University Institute for Local Development, Unversitat de València, Spain How The Variability Of Tree Predictors And Biomass Changes With The Different Complexity Of Virtual 3D Scenes 1: Global Change Research Institute of the Czech Academy of Sciences; 2: Department of Geography, Faculty of Science, Masaryk University Towards an Indicator-Based Morphological Informality Model for Sub-Saharan Africa Using Open Building Footprint Data 1: Urban Big Data Centre (UBDC), University of Glasgow, Glasgow, United Kingdom; 2: Engineer Department, Public University of Navarra, Pamplona, Spain; 3: University of Warwick, Warwick, United Kingdom; 4: Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, Enchede Netherlands; 5: Department of Geography & Environment, George Washinton University, Washington, D.C., United States; 6: Center for Integrated Earth System Information (CIESIN), Columbia University, New York, United States; 7: African Population and Health Research Center (APHRC), Nairobi, Kenya; 8: University of Lagos, Lagos, Nigeria |
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1:15pm - 3:30pm |
Lunch Location: 2nd Floor - Main Corridor |
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2:30pm - 3:30pm |
EARSeL General Assembly (members only) Location: Room 131 (Aula) |
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3:30pm - 4:00pm |
S2 Poster session: Poster Presentations II (Geology, Cultural Heritage, Fires, EO-AI, General session and Agriculture workshop) Location: Room 200 Chair: Lena Halounova The Pros and Cons of Long Wave Infrared Hyperspectral and Multispectral Imaging for the Identification of Mineral Compounds Telops, Canada Use Of The Latest Photogrammetric Techniques In The Inventory of Historical Monuments on the example of Krzeszowice Palace 1: AGH University of Krakow, Poland; 2: AGH University of Krakow, Poland Wildfire Suppression Difficulty Assessment: Example from the Czech Republic 1: Global Change Research Institute of the Czech Academy of Sciences, Brno, Czech Republic; 2: Institute of Agrosystems and Bioclimatology, Mendel University in Brno, Brno, Czech Republic; 3: IFER – Institute of Forest Ecosystem Research, Ltd., Jílové u Prahy, Czech Republic The Use of Remote Sensing forWildfire Prevention in the High Fens 1: ISSeP, Belgium; 2: Earth and Life Institute (ELI), UCLouvain Faculty of Sciences, Belgium Quantifying The Effect Of Bush Encroachment On Fuels And Fire Emissions In Southern Africa With A Satellite-based Data-model Fusion Approach TUD Dresden University of Technology, Junior Professorship in Environmental Remote Sensing, Dresden, Germany Analysis of Global Nighttime Active Fires 1: Consiglio Nazionale delle Ricerche-Istituto per il Rilevamento Elettromagnetico dell’Ambiente (CNR-IREA), Italy; 2: Politecnico di Milano, Dipartimento di Ingegneria Civile e Ambientale, Italy Evaluating Flood Damages using Land Cover Changes Detection UACEG, Faculty of Geodesy, Laboratory of Remote Sensing and Spatial Data Processing Advancing Permafrost Monitoring in the Arctic through Earth Observation Technologies: Insights from EO-PERSIST project 1: Harokopio University of Athens, Greece, Greece; 2: INNOV-ΑCTS LTD, Nicosia, Cyprus; 3: ALTUS LSA, Chania, Athens; 4: CloudFerro SA, Warszawa, Poland Exploration of Large Language Model Assisted Boulder Detection From Lidar Data National Land Survey of Finland, Finland AutoWindLoc: Precise Localization of Wind Turbines in High-Resolution Orthophotos for Enhanced Registers University of Hamburg, Germany Leveraging EO-Based Agricultural Monitoring for Predictive Wildlife Collision Risk Mapping in Austria 1: JOANNEUM RESEARCH Forschungsgesellschaft mbH, Austria; 2: WWN - Wildökologie, Waldwirtschaft, Naturraum, Planungsbüro; 3: AIT - Austrian Institute of Technology Preliminary Analysis of Agricultural Drought in Italy Using PRISMA Satellite Data Across Diverse Crops 1: DICEA, Geodesy and Geomatics Division, Sapienza University of Rome, Rome, Italy; 2: Geomatics Unit, Department of Geography, University of Liège, Belgium; 3: Sapienza School for Advanced Studies, Sapienza University of Rome, Italy; 4: Italian Space Agency (ASI); 5: Risk Management Department, Institute of Services for Agricultural and Food Market (ISMEA) Mobile Mapping with Specim IQ Hyperspectral Camera as a Means for Effective Wildflower Strip Analysis in Agricultural Landscape of Central Germany Anhalt University of Applied Sciences, Germany Large Scale Mowing Event Detection on Dense Time Series Data Using Deep Learning Methods and Knowledge Distillation National Technical University of Athens, Greece Mapping Invasive Veratrum album from UAV Imagery: Neural Network Training for Deep Learning Novices with no Intention of Scripting, Using a Consumer-grade Laptop 1: Department of Applied Geoinformatics and Cartography, Faculty of Science, Charles University, Prague, Czech Republic; 2: Department of Invasion Ecology, Institute of Botany, Czech Academy of Sciences, Průhonice, Czech Republic; 3: Faculty of Environmental Sciences, Czech University of Life Sciences, Prague, Czech Republic; 4: Department of Ecology, Faculty of Science, Charles University, Prague, Czech Republic |
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4:00pm - 5:30pm |
S2: Coffee Break + Poster Exhibition II. (Geology, Cultural Heritage, Fires, EO-AI, General session and Agriculture workshop) Location: 2nd Floor - Main Corridor |
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7:00pm - 11:00pm |
Symposium dinner Klasterni Pivovar Strahov (Strahov Monastery Brewery)
Strahovské nádvoří 301, 118 00 Prague 1 |
Contact and Legal Notice · Contact Address: Privacy Statement · Conference: 44th EARSeL Symposium |
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