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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Session Overview | |
Location: Big Tent Building 14 |
Date: Monday, 10/Feb/2025 | |
3:30pm - 4:00pm |
Coffee Break Location: Big Tent |
6:30pm - 8:00pm |
Ice breaker and Welcome drink Location: Big Tent |
Date: Tuesday, 11/Feb/2025 | |
8:30am - 8:45am |
Welcome Coffee Location: Big Tent |
11:30am - 12:00pm |
Coffee Break Location: Big Tent |
4:30pm - 5:00pm |
Coffee Break Location: Big Tent |
6:30pm - 8:00pm |
POSTER SESSION I Location: Big Tent Drought-induced changes in ecosystem functioning across Europe: drivers and resilience of European biodiversity hotspots University of Copenhagen, Denmark Spatial Biodiversity Modeling: The utility of remote sensing to fill gaps in our biodiversity knowledge Uppsala University, Sweden Modeling arthropod diversity through space and time with metabarcoding, convolutional neural networks and remote sensing Uppsala University, Sweden Bridging the gap between remote sensing phenology and the underlying ecophysiological processes 1: Council for Agricultural Research and Economics - CREA, Italy; 2: University of Rome, "La Sapienza", Italy Towards an Accurate High-Resolution Global Canopy Height Model Czech University of Life Sciences, Prague, Czech Republic Evaluating Sentinel-2-derived spectral biodiversity metrics for forest biodiversity monitoring in African tropical conservation landscapes 1: N’Lab, Nitidæ, Maison de la Télédétection, 500 rue Jean-François Breton, 34093 Montpellier, France; 2: UMR-TETIS, IRSTEA, Maison de la Télédétection, 500 rue Jean-François Breton, 34093 Montpellier, France; 3: Nitidæ, Cocody-Riviera Golf, Abidjan, Ivory Coast Habitat preferences vary between reintroduced and wild-born Przewalski's horses in the Great Gobi B Strictly Protected Area, Mongolia 1: Prague Zoo, Czech Republic; 2: Area of Ecology, Department of Botany, Ecology and Plant Physiology, Faculty of Sciences, University of Cordoba, Spain; 3: We Help Them to Survive Mongolia, Ulaanbaatar, Mongolia; 4: CICGE-Centro de Investigação em Ciências Geo-Espaciais Faculdade de Ciências da Universidade do Porto, Portugal; 5: Faculty of Tropical AgriSciences, Czech University of Life Sciences Prague, Czech Republic. The Hyperspectral Bio-Optical Observations Sailing on Tara (HyperBOOST) dataset: relevance for the development and validation of coastal and oceanic biodiversity applications. 1: CNR-ISMAR, Italy; 2: PML, UK; 3: LOV, FR; 4: CNR-IBF, Italy; 5: Univ. Of Maine, USA; 6: ESRIN, ESA Exploring the relationship between functional diversity and water use efficiency in a semi-arid grassland using a multi-scale approach 1: Tech4Agro, Institute of Agricultural Sciences (ICA), CSIC, Madrid, Spain; 2: Environmental Remote Sensing and Spectroscopy Laboratory (SpecLab), CSIC, Madrid, Spain.; 3: National Institute for Agriculture and Food Research and Technology (INIA), CSIC, Madrid, Spain.; 4: Fundación Centro de Estudios Ambientales del Mediterráneo (CEAM), 46980 Paterna, Spain. BioSCape - Advancing remote sensing of biodiversity through an integrated field campaign. 1: Department of Geography, University at Buffalo, United States of America; 2: Biological Sciences Department, University of Cape Town, South Africa; 3: CITRIS, University of California Merced, United States of America; 4: Jet Propulsion Lab, California Institute of Technology, United States of America Earth observation in the framework of the Italian National Forest Inventory for biodiversity monitoring 1: Università degli Studi di Firenze, Italy; 2: CREA, Italy; 3: Carabinieri, CUFA, Italy Long-term Dynamics of Coastal Dune Landscapes and Floristic Diversity: Insights from a Quarter Century of Resurveys in Castelporziano Presidential Estate 1: Roma Tre University, Italy; 2: University of Bologna, Italy; 3: University of Pisa, Italy; 4: University of Sassari, Italy; 5: National Biodiversity Future Center, Palermo, Italy Combining a trait-based dynamic vegetation model and remote sensing to estimate changes of biodiversity in time Senckenberg Society for Nature Research, Germany Biodiversity Insights from Space, Linking Earth Observations and Biodiversity Science 1: University of Twente, Faculty ITC, Netherlands, The; 2: ESA, ESRIN; 3: Harvard University, Department of Organismic and Evolutionary Biology; 4: University of Zurich, Remote Sensing Laboratories, Department of Geography Analyzing Satellite Scaling Bias Using Drone Data: Application to Microphytobenthos Studies 1: Nantes Université, Institut des Substances et Organismes de la Mer, ISOMer, UR 2160, F-44000 Nantes, France; 2: Univ Rouen Normandie, Univ Caen Normandie, CNRS, M2C, UMR 6143, F-76000 Rouen, France A new operational approach for landscape characterisation and mapping based on radiometric information 1: IRD, France; 2: INRAE, France; 3: CIRAD, France Tree Species Classification and Forest Evolution Using Multi-Sensor Remote Sensing: A Case Study in the Matese Regional Park 1: Tuscia University, Italy; 2: Federico II University, Italy Leveraging Remote Sensing and AI to Monitor Functional Traits in Tropical Forests Environmental Change Institute, School of Geography and the Environment, University of Oxford, United Kingdom Plant trait responses to disturbance across the California Sierra Nevada 1: University of California, Los Angeles; 2: Aarhus University; 3: NASA Jet Propulsion Laboratory Estimation of forest EBVs with imaging spectroscopy: two cases studies 1: ONERA, France; 2: INRAE, France; 3: ENSAT, France Monitoring the Phenology, Distribution, and Mortality of Keystone Tropical Tree Species from Space 1: NASA Jet Propulsion Laboratory, Pasadena, CA, USA; 2: University of Florida, Gainesville, FL, USA; 3: Smithsonian Institution, Gamboa, Panama; 4: The Australian National University, Camberra, Australia; 5: Massachusetts Institute of Technology, Cambridge, MA, USA Opportunities for monitoring aquatic fungi with earth observation data 1: The Norwegian College of Fishery Science, UiT the Arctic University of Norway; 2: Department of Aquatic Sciences and Assessment, Swedish University of Agricultural Sciences Integrating remote sensing and biodiversity observations to map plant taxonomic, phylogenetic, and functional beta-diversity in the Greater Cape Floristic Region 1: University of Maryland Center for Environmental Science, United States of America; 2: Texas A&M University; 3: The University of Arizona; 4: South African National Parks; 5: Stellenbosch University; 6: CapeNature Camera traps as ground truth: Refining satellite-based vegetation phenology and land cover mapping across Europe Department of Wildlife, Fish, and Environmental Studies, Swedish University of Agricultural Sciences, Umeå, Sweden Monitoring emperor penguin populations by satellite British Antarctic Survey, United Kingdom Walrus from space project: citizen scientists found and count walruses in very high-resolution satellite imagery 1: British Antarctic Survey, United Kingdom; 2: WWF-UK Classification of woody vegetation landscape features 1: Research Centre of the Slovenian Academy of Sciences and Arts, Slovenia; 2: University of Ljubljana, Faculty of Civil and Geodetic Engineering Large cale monitoring of inland freshwater hydrologic parameters to study the functioning of aquatic environments that are being modified by climate change Example of the Garonne river basin 1: Agende de l'Eau Adour Garonne, France; 2: vortex-io, France The USGEO Earth Observation Assessment: characterizing pathways from EO systems to biodiversity and ecosystem objectives U.S. Geological Survey, United States of America Assessing Interactions Among Landscape Connectivity, Climate Change, and Land Use/Cover Transformations Using Earth Observation Data and the PANDORA Model 1: Tuscia University, DAFNE Department, Italy; 2: CMCC Foundation, Viterbo, Italy Measuring 3D Vegetation Structure from Space: The Potential of Merging LiDAR Observations with Multisource Remote Sensing Data University of Évora, Portugal MMEarth-Bench: Global Environmental Tasks for Multimodal Geospatial Models 1: Harvard University, United States; 2: University of Copenhagen, Denmark Establishing causal links which facilitate remote sensing of biodiversity metrics University of Cambridge, United Kingdom Temporal dynamics of trait-based functional diversity from satellite-based time series 1: Department of Geography, University of Zurich, Switzerland; 2: Swiss Federal Institute for Forest, Snow and Landscape Research WSL, Switzerland; 3: Department of Chemistry, University of Zurich, Switzerland Detecting tree vitality losses in Pinus sylvestris stands from space 1: Research Institute for Nature and Forest (INBO), Havenlaan 88, 1000 Brussels, Belgium;; 2: KU Leuven, Department of Earth and Environmental Sciences, Celestijnenlaan 200E, 3001 Leuven, Belgium; BioSCape Data Accessibility: What the data is and where to find it 1: University of California Merced, United States of America; 2: University at Buffalo, United States of America; 3: University of Cape Town, South Africa; 4: Jet Propulsion Laboratory, United States of America; 5: Oak Ridge Ridge National Laboratory Distributed Active Archive Center, United States of America Mapping fractional cover of evergreen broad-leaved species in Italian forests using Sentinel-2 time series 1: Institute of Geography, University of Innsbruck, Austria; 2: Faculty of Agriculture, Environmental and Food Science, Free University of Bozen/Bolzano, Italy; 3: Italian Institute for Environmental Protection and Research, Roma, Italy; 4: Department of Life Science, University of Siena, Italy Developing metrics for Southeast Asia University of Hong Kong, Hong Kong S.A.R. (China) The dynamics of the Amazon forests and the role of forest structure - linking vegetation modelling and remote sensing 1: Helmholtz Centre for Environmental Research - UFZ, Germany; 2: German Aerospace Center (DLR) Satellite Remote Sensing-Based Monitoring of the Relationship Between Low-Salinity Waters and Essential Marine Variables in the East China Sea 1: Korea Institute of Ocean Science and Technology, Korea, Republic of (South Korea); 2: Ulsan National Institute of Science and Technology Evaluating Transpiration Dynamics in Pedunculate Oak Using Sentinel-2 Imagery: A Study of Spačva Forest, Croatia 1: Oikon Ltd.- Institute of Applied Ecology, Croatia; 2: University of Zagreb, Faculty of Agriculture, Croatia Challenges and opportunities in satellite-based forest phenology 1: ZRC SAZU, Slovenia; 2: Faculty of Civil and Geodetic Engineering, University of Ljubljana, Slovenia; 3: Biotechnical Faculty, Universiy of Ljubljana, Slovenia; 4: Slovenian Forestry Institute, Slovenia deadtrees.earth - an open-access platform for accessing, contributing, analyzing, and visualizing remote sensing-based tree mortality data 1: Sensor-based Geoinformatics (geosense), Faculty of Environment and Natural Resources, University of Freiburg, Germany; 2: Institute for Earth System Science and Remote Sensing, Leipzig University, Germany; 3: Department of Geosciences and Natural Resource Management, University of Copenhagen, Denmark; 4: Institute for Forest Protection, Julius Kühn Institute (JKI) - Federal Research Centre for Cultivated Plants, Germany; 5: School of Forest Sciences, University of Eastern Finland, Finland; 6: Department of Environmental Systems Sciences, ETH Zurich, Switzerland Reconstructing Historical Ecosystem Structures: Extending GEDI LiDAR Data with Machine Learning for Long-term Change Analysis Stockholm Resilience Centre, Sweden Integrating AVIRIS-4 Imaging Spectroscopy and In-Situ Data for Grassland Biodiversity Monitoring 1: University of Zurich, Switzerland; 2: Swiss National Park, Switzerland Which aspects of environmental heterogeneity are associated with higher thermal plasticity in European Hypericum populations? 1: Department of Geosciences and Geography, University of Helsinki, Finland; 2: Botany Unit, Finnish Museum of Natural History, University of Helsinki, Finland; 3: Nature Solutions Unit, Finnish Environment Institute, Helsinki, Finland; 4: Eco-Evolutionary Dynamics group, Organismal and Evolutionary Biology Research Programme, Faculty of Biological and Environmental Sciences, University of Helsinki, Finland; 5: Department of Biology, University of Lund, Sweden; 6: Plant Evolutionary Ecology Lab, School of Life Sciences, University of Sussex, United Kingdom Remote sensing insights on phenological properties of plant communities in coastal wetlands 1: Faculty of Engineering and Science, University Adolfo Ibáñez, Diagonal Las Torres 2640, Peñalolén, Santiago, Chile; 2: Data Observatory Foundation, ANID Technology Center No. DO210001, Chile; 3: Center for Climate Resilience Research (CR)2, University of Chile, Santiago, Chile; 4: Deakin Marine Research and Innovation Centre, School of Life and Environmental Sciences, Deakin University, Burwood Campus, Burwood, VIC 3125, Australia; 5: Departments of Environmental Science, Policy & Management (Rausser College of Natural Resources) and Landscape Architecture & Environmental Planning (College of Environmental Design), University of California Berkeley, Berkeley, CA 94720-2000, USA Spatio-temporal analysis of remote sensing ecological indices to model insect migratory dynamics 1: Institut Botànic de Barcelona (IBB), Spanish National Research Council (CSIC), Barcelona, 08038 Catalonia, Spain; 2: Center for Ecological Research and Forestry Applications (CREAF), Grumets Research Group, Cerdanyola del Vallès, 08193 Catalonia, Spain; 3: Departament de Biologia Animal, Biologia Vegetal i Ecologia (BABVE), Universitat Autònoma de Barcelona, ES-08193 Bellaterra, Catalonia, Spain; 4: University of Ottawa, Department of Earth and Environmental Sciences, Ottawa, K1N 7N9 Canada From satellites to smartphones: harnessing citizen science and Earth observation to unlock global perspectives on plant functional diversity 1: Department for Sensor-based Geoinformatics, University of Freiburg; 2: Remote Sensing Centre for Earth System Research, Leipzig University; 3: German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig; 4: Max Planck Institute for Biogeochemistry; 5: BIOME Lab, Department of Biological, Geological and Environmental Sciences, Alma Mater Studiorum University of Bologna; 6: Institute of Biology/Geobotany and Botanical Garden, Martin Luther University Halle-Wittenberg; 7: Image Signal Processing Group, Image Processing Laboratory (IPL), University of Valencia Assessing Biodiversity and Functional Traits of Tree Communities at Fine Scale Using Advanced Remote Sensing Techniques University of Oxford, United Kingdom Satellite remote sensing monitoring of phytoplankton diversity trends in the Mediterranean Sea 1: Barcelona Expert Centre, Barcelona, Spain; 2: Instituto de Ciencias del Mar (ICM-CSIC), Barcelona, Spain; 3: Universidad Politécnica de Catalunya, Barcelona, Spain; 4: Istituto di Scienze Marine (ISMAR-CNR), Rome, Italy Assessment of spectral eco-physiological traits of forests affected by Prunus serotina and Robinia pseudoacacia invasions in Central Europe using multispectral Sentinel-2 imagery 1: Department of Agricultural Sciences, University of Sassari, Viale Italia 39/a, 07100 Sassari, Italy; 2: National Biodiversity Future Center (NBFC), Piazza marina 61, 90133 Palermo, Italy; 3: Institute of Dendrology, Polish Academy of Sciences, Parkowa 5, 62-035 Kórnik, Poland; 4: Institute for Landscape Ecology and Resources Management (ILR), Research Centre for BioSystems, Land Use and Nutrition (iFZ), Justus Liebig University Gießen, Gießen; 5: Center for International Development and Environmental Research (ZEU), Justus Liebig University Gießen, Gießen The GEO Indigenous Alliance: Bridging Knowledge Systems for Biodiversity Protection Space4innovation / Geo Indigenous Alliance, Czech Republic A road map for the digital platform of the Italian National Biodiversity Future Centre 1: Consiglio Nazionale delle Ricerche, Istituto per la Bioeconomia, CNR-IBE, Sassari, Italy; 2: Department of Agricultural Sciences, University of Sassari, Sassari, Italy; 3: National Biodiversity Future Center (NBFC), Piazza Marina 61 (c/o palazzo Steri), Palermo, Italy Sentinel-1 time series for forest moisture monitoring 1: TU Dresden; 2: Czech University of Life Sciences Prague Applying novel satellite technology to inform design and evaluation of urban Nature Based Solutions. DHI, Denmark Empowering Indigenous Knowledge for Biodiversity Monitoring with Earth Observation Data. 1: A Liquid Future, France; 2: CoLAB +ATLANTIC, Portugal; 3: Swedish Meteorological and Hydrological Institute; 4: North Maluku Provincial Government, Indonesia Predicting vegetation Ecosystem Functional Properties in EU from space: opportunities and challenges 1: CNR Consiglio Nazionale delle Ricerche, Italy; 2: ENEA Agenzia Nazionale - Centro Ricerche Casaccia; 3: EURAC; 4: DIBAF Università della Tuscia Mudflat microphytobenthos detection and associated carbon flux: preliminary results from a Canadian site 1: University of New Brunswick, Canada; 2: Mount Allison University, Canada; 3: Environment & Climate Change, Canada; 4: St. Francis Xavier University, Canada; 5: Nantes Université, France Improved tree diversity monitoring by combining satellite and aerial images University of Copenhagen, Department of Geosciences and Natural Resource Management, Denmark Forest structure observation using interferometric and tomographic synthetic aperture radar measurements: Current understanding and open questions German Aerospace Center (DLR), Germany Fusing optical and SAR satellite imagery for Ecosystem Extent mapping in the Great Western Woodlands, Australia. CSIRO, Australia Monitoring Climatic Anomalies and Vegetation Functioning in Italian Protected Areas through Satellite and Climatic Indices ISPRA (Istituto Superiore per la Protezione e la Ricerca Ambientale), Rome (Italy) Taxonomic and phylogenetic diversity of plants as mediators of stability in mountain ecosystems: A Study in the Central Andes of Chile 1: Data Observatory, Chile; 2: Universidad Adolfo Ibañez, Chile; 3: Universidad Mayor, Chile Two decades of Spectral Variation Hypothesis: advances and challenges in estimating biodiversity with remote sensing 1: Department of Spatial Sciences, Czech University of Life Sciences Prague, Czech Republic; 2: Department of Geoinformation, Swiss National Park, Switzerland; 3: BIOME Lab, Department of Biological, Geological and Environmental Sciences, Alma Mater Studiorum University of Bologna, Italy; 4: Department of Geography, University of Zurich, Switzerland; 5: TETIS, INRAE, AgroParisTech, CIRAD, CNRS, Université Montpellier, France; 6: Department of Environmental Biology, University of Rome ‘La Sapienza’, Italy; 7: School of Geography, University of Nottingham, UK; 8: Department of Remote Sensing, University of Würzburg, Germany; 9: Remote Sensing Centre for Earth System Research, University of Leipzig, Germany; 10: Department of Chemistry, Physics, Mathematics and Natural Sciences, University of Sassari, Italy; 11: Faculty of Agricultural, Environmental and Food Sciences, Free University of Bolzano/Bozen, Italy Earth Observation data for changes analysis in italian terrestrial ecosystems due to wildfires disturbance Italian National Institute for Environmental Protection and Research (ISPRA) The role of seasonality in remote sensing predictors for bird species distribution models Czech University of Life Sciences, Czech Republic Cracking Humboldts Enigma by Earth Observation Prins Engineering, Denmark A Novel Marine Photosynthesis Index for Enhanced Monitoring of Coastal Marine Ecosystems Prins Engineering, Denmark Vegetation and spectral diversity across wetlands, forests, and tundra in northern boreal landscapes 1: University of Helsinki, Finland; 2: University of Oulu, Finland; 3: Natural Resources Institute Finland Vegetation dynamics in an alpine protected area, the Gran Paradiso National Park (NW Italy) from a remote sensing perspective 1: Laboratory Biodiversity and Ecosystems, Division Anthropic and Climate Change Impacts, ENEA, Saluggia (VC), Italy; 2: Department of Life Sciences and Systems Biology, University of Torino, Via Pier Andrea Mattioli 25, 10125 Turin, Italy; 3: National Research Council (CNR), Institute of Atmospheric Pollution Research (IIA), c/o Interateneo Physics Department, Via Amendola 173, 70126 Bari, Italy Characterization of 4D Forest Structure by Integrating LiDAR and InSAR Measurements German Aerospace Center (DLR), Germany Does 3D forest structure predict resilience to drought? 1: University of Oxford; 2: Forest Research; 3: University of Bristol Vegetation resilience decreases at the transitional zones of Earth’s forest biomes 1: Department of Environmental Systems Science, ETH Zürich, Switzerland; 2: Departemento de Biodiversidad, Ecología y Evolución, Universidad Complutense de Madrid, Spain; 3: Instituto de Ecología Regional, Universidad Nacional de Tucumán - Consejo Nacional de Investigaciones Científicas y Técnicas, Argentina; 4: Department of Humanities, Social and Political Sciences, ETH Zürich, Switzerland; 5: TERRA Teaching and Research Centre, Gembloux Agro Bio-Tech, University of Liege, Belgium Assessing the effectiveness of floristic and hydrogeomorphic classification systems in capturing wetland ecosystem functional groups 1: University of Pretoria, South Africa; 2: Council of Scientific & Industrial Research, South Africa; 3: Digital Earth Africa Satellite-based chlorophyll-a “Extreme Highest” and “Extreme Anomalous” indices for the analysis of long-term series of phytoplankton blooms in European seas. AZTI, Marine Research, Basque Research and Technology Alliance (BRTA) ESA’s Impact on Biodiversity: Pilot Assessment ESA, France Linking Bird Biodiversity and Structural Diversity in South Tyrol’s Riparian Forests: Insights from Remote Sensing and Acoustic Data 1: Sapienza Università di Roma, Italy; 2: Free University of Bozen-Bolzano Retrieving Pigments from Multispectral Radiometry Using Machine Learning for Ecosystem Monitoring 1: Barcelona Expert Center, Barcelona, Spain; 2: Institut de Ciències del Mar, ICM-CSIC, Barcelona, Spain; 3: Instituto de Investigación en Inteligencia Artificial, IIIA-CSIC, Barcelona, Spain; 4: Istituto di Scienze Marine, ISMAR-CNR, Rome, Italy Social-ecological interactions in tropical ecosystems: developing a set of science questions within PANGEA 1: University of Zurich, Switzerland; 2: University of California Los Angeles, USA; 3: Instituto de Pesquisa Ambiental da Amazônia Potential of satellite remote sensing for complementing long-term biodiversity monitoring for the German Natural Climate Protection Action Programme 1: Federal Agency for Nature Conservation, Germany; 2: National Monitoring Centre for Biodiversity, Germany Denoising Diffusion Models for the Augmentation of Optical Satellite Datasets 1: Technical University of Munich, Germany; 2: University of Glasgow, United Kingdom Using satellite data time series to investigate phenological characteristics of invasive aquatic plant species across gradients 1: CNR - National Research Council, Italy; 2: National Biodiversity Future Center (NBFC) ESA Coastal Blue Carbon Project : Towards Earth-Observation-based solutions for coastal blue carbon monitoring 1: i-Sea, France; 2: Vois-là, Canada; 3: Institut de recherche pour le développement (IRD), France; 4: Simon Fraser University (SFU), Canada; 5: Centro de Estudios Avanzados de Blanes (CEAB), CSIC, Spain; 6: BlueSeeds, France; 7: Littoral Environnement et Sociétés (LIENSs), UMR 7266, CNRS-La Rochelle Université, France; 8: Université du Québec à Rimouski (UQAR), Canada Assessing change in vegetation in the last 18 years on Pianosa Island (Italy) pairing remote sensing data with taxonomic and functional diversity. University of Florence, Italy EO foundation models for large-scale biodiversity modeling across taxonomic realms University of Grenoble Alpes, University Savoie Mont Blanc, CNRS, LECA, 38000, Grenoble, France FOREST FUNCTIONAL TRAITS FROM SATELLITE IMAGERY University of Milano-Bicocca, Italy European forests phenology as seen by MODIS Leaf Area Index and GEDI Plant Area Index 1: Department for Innovation in Biological, Agro-food, and Forestry Systems, Tuscia University, Viterbo, Italy.; 2: Conservation Research Institute, Department of Plant Sciences, University of Cambridge, Cambridge, UK.; 3: Department of Computer Science, University of Cambridge, Cambridge, UK; 4: Research Institute on Terrestrial Ecosystems, National Research Council, Montelibretti Research Area, Italy Linking spectral, phylogenetic and functional diversity of wetland plant communities 1: National Research Council (CNR-IREA), Milano, Italy; 2: University of Parma, Parma, Italy; 3: National Research Council (CNR-IBBR), Sesto Fiorentino, Italy; 4: University of Florence, Firenze, Italy; 5: University of Florence, Natural History Museum, Firenze, Italy; 6: Politecnico di Milano, Milano, Italy Remote sensing of plant diversity from terrestrial to aquatic systems – a case study in Italy 1: National Research Council (CNR-IREA), Milano, Italy; 2: University of Parma, Parma, Italy; 3: Politecnico di Milano, Milano, Italy; 4: Chinese Academy of Sciences (AIR-CAS), Beijing, China From Space to Species: Leveraging Geospatial Data and Species Observations to Enhance Biodiversity Monitoring and Reporting in Alberta, Canada 1: Alberta Biodiversity Monitoring Institute, Canada; 2: Innotech Alberta, Canada Inclusive international collaboration in biodiversity field and remote sensing campaigns - Lessons from BioSCape in South Africa 1: University at Buffalo, United States of America; 2: University of California, Merced, United States of America; 3: University of Cape Town, South Africa; 4: Jet Propulsion Laboratory, United States of America Modelling savanna vegetation structure using Synthetic Aperture Radar and spaceborne lidar: A case study in Kruger National Park, South Africa 1: Department for Earth Observation, Friedrich Schiller University Jena, 07737 Jena, Germany; 2: Mathematical Biosciences Lab, Stellenbosch University, 7600 Stellenbosch, South Africa; 3: National Institute for Theoretical and Computational Sciences (NITheCS), 7600, Stellenbosch, South Africa; 4: Department of Geography, Friedrich Schiller University Jena, 07737 Jena, Germany; 5: Scientific Services, South African National Parks (SANParks), Private Bag X402, 1350 Skukuza, South Africa From Ground to Canopy: Integrating Ground-based Sensors with Remote Sensing to Improve Urban Tree Management 1: Imperial College London; 2: University of Cambridge |
Date: Wednesday, 12/Feb/2025 | |
8:30am - 8:45am |
Welcome Coffee Location: Big Tent |
11:30am - 12:00pm |
Coffee Break Location: Big Tent |
4:30pm - 5:00pm |
Coffee Break Location: Big Tent |
Date: Thursday, 13/Feb/2025 | |
8:30am - 8:45am |
Welcome Coffee Location: Big Tent |
11:30am - 12:00pm |
Coffee Break Location: Big Tent |
4:30pm - 5:00pm |
Coffee Break Location: Big Tent |
6:30pm - 8:00pm |
POSTER SESSION II Location: Big Tent Chlorophyll-a Concentration in the Ocean and the Migration Range of Franklin's Gull (Leucophaeus pipixcan) in Southern South America 1: Center for Earth and Space, Adolfo Ibáñez University, Chile; 2: Wildlife Ecology Laboratory, University of Chile, Chile ENHANCING HABITAT MONITORING ACROSS SPACE AND TIME WITH EARTH OBSERVATION, FIELD DATA, AND MACHINE LEARNING ALGORITHMS 1: Institute for Environmental Protection and Research (ISPRA), Italy; 2: Department of Environmental Biology, Sapienza University of Rome, Italy; 3: Department of Science, University of Roma Tre, Italy; 4: National Research Council Macroalgae Mapping along the Portugal Coastline: A Machine Learning Approach Using Sentinel-2 Imagery 1: University of Porto, Portugal; 2: National Institute of Aquatic Resources, Denmark; 3: University of Lisbon, Portugal Comprehensive regional assessment of brood habitat suitability for Alpine black grouse 1: INRAE, France; 2: OFB, France Developing a Methodology Using Object-Based Analysis to Assess the Urban Condition of Madrid 1: Rey Juan Carlos University, Unnumbered Tulipán St., Móstoles, 28933, Madrid, Spain; 2: Ecoacsa Reserva de Biodiversidad S.L, 1 Porto Cristo St., Left Staircase, 9th Floor B, Alcorcón, 28924, Madrid, Spain Analyzing post-disturbance recovery dynamics in European forests using remote sensing data INRAE, France CLMS Protected Areas: a Land Use-Land Cover semi-automatic approach based on high-resolution Copernicus time series information and its connection with habitat mapping. 1: CENTRO DE OBSERVACIÓN Y TELEDETECCIÓN ESPACIAL, COTESA; 2: CSIC-IMIB, UNIVERSITY OF OVIEDO; 3: COLLECTE LOCALISATION SATELLITES, CLS; 4: EVENFLOW; 5: EUROPEAN ENVIRONMENT AGENCY, EEA Monitoring of wetland restoration trajectories combining machine learning based VHR vegetation mapping and Sentinel-2 derived rewetting. 1: i-Sea, France; 2: BIOGECO, UMR INRA 1202, France Fragmentation in patchy ecosystems: a call for a functional approach 1: School of Geosciences, University of Edinburgh, United Kingdom; 2: Department of Earth, Ocean, and Ecological Sciences, University of Liverpool, United Kingdom; 3: Department of Zoology and Entomology, University of Pretoria, South Africa; 4: School of Animal, Plant, and Environmental Sciences, University of the Witwatersrand,South Africa; 5: National Centre for Biological Sciences, Tata Institute of Fundamental Research, India Using occurrence data to improve species abundance predictions with neural networks 1: Inria, University of Montpellier, LIRMM, CNRS, Montpellier, France; 2: LIRMM, University of Montpellier, CNRS, Montpellier, France; 3: AMIS, Paule Valery University, Montpellier, France; 4: MARBEC, University of Montpellier, CNRS, IFREMER, IRD,Montpellier, France; 5: CRETUS - Department of Zoology, Genetics and Physical Anthropology, University of Santiago de Compostela, Santiago de Compostela, Spain Combining Unoccupied Aerial Vehicles and Satellite multispectral data to improve mapping of intertidal seaweed habitats 1: CIIMAR/CIMAR-LA-Interdisciplinary Centre of Marine and Environmental Research, University of Porto, Avenida General Norton de Matos, S/N, 4450-208, Matosinhos, Portugal; 2: Faculty of Sciences, University of Porto, Rua do Campo Alegre 1021 1055, Porto 4169-007, Portugal; 3: AIR Centre - Atlantic International Research Centre; TERINOV – Parque de Ciência e Tecnologia da Ilha Terceira, Terra chã, 9700-702 Angra do Heroísmo, Portugal Combining Earth Observation and graph-theory for assessing the network connectivity of urban green spaces in European capitals 1: Università degli Studi di Firenze, Italy; 2: Fondazione per il Futuro delle Città, Italy; 3: Learning Planet Institute, F-75004, Paris, France; 4: DSMN, Ca’Foscari University of Venice, Venice, Italy; 5: Institute for Complex Systems (ISC), CNR, UoS Sapienza, Rome, Italy; 6: Università degli Studi di Bologna Integration of a multi-sensor analysis for the estimation of water quality in a turbid and productive lake 1: Consiglio Nazionale delle Ricerche (CNR-IREA), Italy; 2: ARPA Umbria, Italy Temperate tunas’ three-dimensional distribution in the Northeast Atlantic and their phenology across Atlantic ecoregions based on electronic tagging data and satellite telemetry 1: Fundación AZTI, Spain; 2: Instituto Español de Oceanografía (CNIEO-CSIC), Spain Shedding light on biological monitoring in the Baltic Sea Leibniz Institute for Baltic Sea Research Warnemünde (IOW), Germany Mapping coastal ecosystems habitats risk status in central Italy 1: Department of Biology, University of Florence, Italy; 2: Deparment of Life Sciences, University of Siena, Italy Multi-Temporal Remote Sensing for Forest Conservation and Management: A Case Study of the Gran Chaco in Central Argentina 1: INTA, Estación Forestal Villa Dolores. Córdoba (Argentine); 2: EnviXlab - Dep. Biosciences and Territory - University of Molise (Italy); 3: Dep. Agricultural Sciences, University of Sassari (Italy); 4: National Biodiversity Future Center (NBFC), Palermo 90133, (Italy); 5: Dep. Electrical, Biomedical and Computer Engineering, University of Pavia (Italy) Application of a water column correction algorithm to monitoring coral reef habitat change by satellite-based mapping Korea Institute of Ocean Science and Technology, Korea, Republic of (South Korea) Use of innovative technologies for the monitoring of marine biodiversity. A focus on Satellites 1: University of Naples Federico II, Italy; 2: NBFC, National Biodiversity Future Center, Palermo, Italy; 3: CIRA, Centro Italiano di Ricerca Aerospaziale, Capua, Italy ANALYSIS OF LONG-TERM PERSISTENCE OF BULL KELP FORESTS IN THE SALISH SEA, CANADA BASED ON SATELLITE EARTH OBSERVATION DATA 1: University of Victoria, Canada; 2: Vancouver Island University, Canada; 3: Pacific Salmon Foundation, Canada; 4: Fisheries and Oceans Canada, Canada; 5: Islands Trust Conservancy, Canada Phytoplankton Community Composition in European Coastal Waters: Impact of Particle Concentration on Phytoplankton Absorption and Pigment Retrieval Accuracy 1: CNR-ISMAR, Italy; 2: Sapienza University, Italy; 3: University of Maine, United States; 4: LOV CNRS/SU, France; 5: CNR-IBF, Italy; 6: University of Washington - Applied Physics Laboratory, United States Post-fire evolution of fire-affected areas as a function of fire severity and land cover in a Mediterranean test site 1: Council for Agricultural Research and Economics, Research Centre for Agriculture and Environment (CREA-AA), Italy; 2: University of Patras, Department of Sustainable Agriculture, Greece Mapping of temperate upland habitats using high-resolution satellite imagery and machine learning Trinity College Dublin, Ireland Spatiotemporal Analysis of the Pacific Herring Spawning Areas Using Satellite Remote Sensing 1: University of Victoria, Spectral Lab, Canada; 2: The Pacific Salmon Foundation Automated Detection and Monitoring of Common Ragweed (Ambrosia artemisiifolia) in Croatia Using Space Technology LIST LABS LLC, Croatia The impact of global change on the distribution of mountain mammals and birds 1: La Sapienza University of Rome, Italy; 2: Univ. Grenoble Alpes, Univ. Savoie Mont Blanc, CNRS, LECA, Laboratoire d’Écologie Alpine, Grenoble, France; 3: International Institute for Applied Systems Analysis, 2361 Laxenburg, Austria Developing a Global Species Distribution Model for Plants Using Remote Sensing and Deep Learning 1: Institute of Integrative Biology, ETH Zürich (Swiss Federal Institute of Technology), 8092 Zürich, Switzerland; 2: Swiss Federal Institute for Forest, Snow and Landscape Research (WSL), 8903 Birmensdorf, Switzerland Innovative Interoperability Solutions for KM-GBF Target 2 reporting with FERM FAO, Italy Optimizing ecosystem services in agricultural area: the synergy between habitat types and Nature-based Solutions 1: VITO, Belgium; 2: NINA, Norway; 3: BioSense, Serbia Assessing CMEMS GlobColour chlorophyll-a retrievals in the complex West Greenland waters 1: Technical University of Denmark, National Institute of Aquatic Resources (DTU Aqua), Denmark; 2: Greenland Institute of Natural Resources (GINR), Greenland; 3: Aarhus University, Arctic Research Center (AU), Denmark; 4: University of Copenhagen, Department of Biology (UCPH), Denmark “Delineation of Riparian Zones” for the Classification of Riparian Forests for Ecosystem Accounting in Germany Federal Agency for Cartography and Geodesy, Germany Peatland Vulnerability of South Kalimantan based on Surface Soil Moisture and Land Subsidence observed by SAR techniques 1: Department of Geomatics Engineering, Institut Teknologi Sepuluh Nopember, Indonesia; 2: Department of Agroecotechnology, Universitas Lambung Mangkurat, Indonesia Characterizing forest regeneration after human disturbance with the Landsat archive and Google Earth Engine 1: Alberta Biodiversity Monitoring Institute, Canada; 2: University of Calgary, Alberta, Canada Global estimation of phytoplankton community composition based on deep learning using ocean color satellite and physical properties 1: Ulsan National Institute of Science and Technology, Korea, Republic of (South Korea); 2: HongKong Polytechnic University Global Assessment of Ecosystem Resilience: Evaluating Early Warning Signals and Disentangling Climatic and Anthropogenic Drivers Stockholm Resilience Centre, Sweden How well does Sentinel-2 based snow data perform in Species Distribution Models? 1: Department of Geography, University of Innsbruck, Innsbruck, Austria; 2: Department of Botany and Biodiversity Research, University of Vienna, Vienna, Austria; 3: Independent Researcher, Department of Botany, University of Vienna, Austria Mapping of Natura 2000 open habitats for conservation purposes: comparison of Sentinel-2 and HySpex data 1: University of Lodz, Poland; 2: MGGP Aero, Poland; 3: University of Warsaw, Poland Oceanic Warming Shortens Phytoplankton Blooms and Increases Water Column Oligotrophy in the Rhodes Gyre 1: Department of Biology, National and Kapodistrian University of Athens, Athens 15784, Greece; 2: Sezione di Oceanografia, Istituto Nazionale di Oceanografia e Geofisica Sperimentale—OGS, Borgo Grotta Gigante, Trieste 34010, Italy GEOBIA for assessing habitat conservation status in semi-natural dry grassland ecosystems 1: National Research Council of Italy, Institute of Atmospheric Pollution Research, Italy; 2: Alta Murgia National Park, Italy Spectral Resilience: Insights into Drought impacts on evergreen and deciduous Mediterranean-type forests in the Central Chile Biodiversity Hotspot. 1: Laboratory of Geo-Information Science and Remote Sensing, Wageningen University and Research, P.O. Box 47, 6700 AA Wageningen, the Netherlands; 2: Laboratorio de Geo-Información y Percepción Remota, Instituto de Geografía, Pontificia Universidad Católica de Valparaíso, Valparaíso 2362807, Chile; 3: Institute of Ecology and Biodiversity (IEB), Santiago, Chile; 4: Departamento de Ciencias Ambientales y Recursos Naturales Renovables, Facultad de Ciencias Agronómicas, Universidad de Chile, Santiago 8820808, Chile GeoPl@ntNet: A Remote Sensing-Based Deep Learning Workflow for Biodiversity Mapping and Monitoring 1: Inria, Zenith, Montpellier, France; 2: CIRAD, AMAP, Montpellier, France; 3: LIRMM, ADVANSE, Montpellier, France Human impact on large scale patterns of plant beta diversity 1: University of Leipzig, Germany; 2: Thünen Institute, Germany Evaluating MULTIOBS Chlorophyll-a with ground-truth observations in the Eastern Mediterranean Sea 1: Department of Biology, Division of Zoology-Marine Biology, National and Kapodistrian University of Athens, Panepistimiopolis, Zografou 15772, Athens, Greece; 2: CNRS, Sorbonne Université, Institut de la Mer de Villefranche, Villefranche-sur-Mer, France; 3: Institute of Oceanography, Hellenic Centre for Marine Research, P.O. Box 2214, 71003, Heraklion, Greece; 4: Institute of Marine Biology, Biotechnology and Aquaculture, Hellenic Centre for Marine Research, P.O. Box 2214, 71003, Heraklion, Greece; 5: National Institute of Oceanography and Applied Geophysics - OGS, Borgo Grotta Gigante 42/c, 34010 Sgonico, Trieste, Italy; 6: Centre for Geography and Environmental Science, Department of Earth and Environmental Sciences, Faculty of Environment, Science and Economy, University of Exeter, Cornwall, UK Differentiating phytoplankton taxonomic groups in freshwater ecosystems using hyperspectral in-situ remote sensing reflectance and underwater imaging 1: Swiss Federal Institute of Aquatic Science and Technology, Switzerland; 2: Remote Sensing Laboratories, University of Zurich, Switzerland Linking Earth Observations and in situ omics data via machine learning to estimate plankton biodiversity in the Mediterranean Sea 1: National Research Council of Italy (CNR), Institute of Marine Sciences (ISMAR), Rome, Italy; 2: National Research Council of Italy (CNR), Institute of Marine Sciences (ISMAR), Florence, Italy; 3: National Institute of Biology (NIB), Marine Biology Station, Piran, Slovenia; 4: Sorbonne Université (SU), Observatoire Océanologique de Banyuls, Banyuls, France; 5: Institut de Ciències del Mar (ICM-CSIC), Barcelona, Spain Assessing climate change impacts on holm oak forest combining Copernicus data and high- resolution satellite imagery on Mediterranean areas 1: CMCC—Centro Euro-Mediterraneo sui Cambiamenti Climatici, IAFES Division, Sassari, Italy; 2: Consiglio Nazionale delle Ricerche, Istituto per la Bioeconomia, CNR-IBE, Sassari, Italy; 3: National Biodiversity Future Center (NBFC), Piazza Marina 61 (c/o palazzo Steri), Palermo, Italy; 4: Department of Agricultural Sciences, University of Sassari, Sassari, Italy; 5: CNR-IBE – Institute of Bioeconomy – National Research Council, Sesto Fiorentino, Italy Long-Term Monitoring of Dwarf Pine in the Santal Valley: An Integrated Approach to Forest Management Free University of Bolzano, Italy Disaggregation of Mountain Green Cover Index reveals mountain land degradation at sub-national scale: a case-study in Greece National Observatory of Athens, Greece Wildfire as an interplay between water deficiency, manipulated tree species composition and bark beetle. A remote sensing approach 1: Jan Evangelista Purkyne University in Usti n.L., Usti n. L., Czech Republic; 2: Charles University, Faculty of Natural Sciences, Prague, Czech Republic; 3: Institute of Botany CAS, Pruhonice, Czech Republic Beyond the Surface: Mapping Subaquatic Vegetation from Space DHI, Denmark From Space to Species: Advancing Arctic and Marine Biodiversity Protection through VHR Satellite Imagery 1: DHI, Denmark; 2: Aarhus University, Denmark Human footprint and rainfall shape Masai giraffe’s habitat suitability and connectivity in a multiple-use landscape 1: Kenyatta University; 2: School of Biological, Earth & Environmental Sciences – Environmental Research Institute, University College Cork, Cork, Ireland; 3: African Wildlife Foundation; 4: Wildlife Research and Training Institute; 5: King's College London; 6: Smithsonian National Zoo and Conservation Biology, Conservation Ecology Center, Front Royal, Virginia, USA Long-term trends of ocean warming, marine heatwaves and phytoplankton biomass: the case study of the Northern Adriatic Sea 1: Università Politecnica delle Marche, Italy; 2: Università degli Studi di Roma La Sapienza, Italy; 3: Università degli Studi di Palermo, Italy; 4: National Research Council of Italy, CNR From Space to Species: Advancing the projection of forest community composition with AI and Joint Species Distribution Models 1: CMCC Foundation - Euro-Mediterranean Center on Climate Change, Italy; 2: Consiglio Nazionale delle Ricerche, Istituto per la Bioeconomia, CNR-IBE, Italy; 3: Department of Agricultural, Food, Environmental and Animal Sciences, University of Udine, Udine 33100, Italy; 4: National Biodiversity Future Center (NBFC), Piazza Marina 61 (c/o palazzo Steri), Palermo, Italy; 5: Department of Agricultural Sciences, University of Sassari, Sassari, Italy; 6: Department of Engineering for Innovation, University of Salento, Lecce, Italy Disrupting Connectivity: Roads and Streams in the Changing Amazon Landscape 1: University of São Paulo (USP – ESALQ), Department of Forest Sciences, Piracicaba, Brazil; 2: Lancaster University, Lancaster Environment Centre, Lancaster, United Kingdom; 3: São Paulo State University (UNESP), Institute of Biosciences, Rio Claro, Brazil; 4: Federal University of Minas Gerais (UFMG), Belo Horizonte, Brazil Plankton biodivErsity Through Remote sensing and omIcs in the MEDiterranean Sea: The PETRI-MED project 1: National Research Council of Italy (CNR), Institute of Marine Sciences (ISMAR), Rome, ITALY; 2: Institut de Ciències del Mar (ICM-CSIC), Barcelona, SPAIN; 3: National Institute of Biology (NIB), Marine Biology Station, Piran, SLOVENIA; 4: Sorbonne Université (SU), Observatoire Océanologique de Banyuls, Banyuls-sur-mer, FRANCE; 5: University of Haifa, Haifa, ISRAEL; 6: Institute of Agrifood, Research and Technology (IRTA), Caldes de Montbui, SPAIN; 7: https://petri-med.icm.csic.es/ Global Ocean Chlorophyll-a and Optical Shifts in Response to Climate Change 1: Korea Institute of Ocean Science & Technology (KIOST), Korea, Republic of (South Korea); 2: Ocean Ecology Lab, Goddard Space Flight Center, NASA, Greenbelt, 20771, MD, USA; 3: National Marine Fisheries Service, NOAA, Silver Spring, 20910, MD, USA; 4: Massachusetts Institute of Technology, Cambridge, 02139, MA, USA Assessment of functional landscape connectivity and its relationship with pollination in the metropolitan region: A Multiscale Approach. 1: Data Observatory, Chile; 2: Universidad Adolfo Ibañez, Chile; 3: Universidad Mayor, Chile Seventy years of coastal landscape change: a comparative study inside and outside LTER protected sites in Central Adriatic (Italy) 1: University of Molise (Italy), Italy; 2: National Biodiversity Future Center (NBFC), Palermo, 90133, Italy Mapping and Spatial Pattern Analysis of Urban Habitats in Switzerland Using Remote Sensing data Swiss Federal Research Institute WSL, Switzerland Earth Observation and Spatial Analytics in Marine Habitat Mapping 1: Oikon Ltd. - Institute of Applied Ecology, Croatia; 2: Laboratory for Benthos, Institute of Oceanography and Fisheries, Croatia; 3: Department of Wildlife Management and Nature Conservation, Karlovac University of Applied Sciences, Croatia Northern Red Sea Greening Reveals Larger and Longer Phytoplankton Blooms Over a Century of Change 1: National and Kapodistrian University of Athens, Department of Biology, Division of Zoology-Marine Biology, Athens, Greece; 2: Institute of Oceanography, Hellenic Centre for Marine Research, Sounio Ave., P.O. Box 712, Athens, Greece; 3: College of Life and Environmental Sciences, University of Exeter, Penryn Campus, Cornwall TR10 9FE, UK; 4: Plymouth Marine Laboratory, Plymouth, Devon PL1 3DH, UK; 5: Consiglio Nazionale delle Ricerche (CNR), Istituto di Scienze Marine (ISMAR), Via del Fosso del Cavaliere 100, 00133 Rome, Italy; 6: King Abdullah University of Science and Technology, Thuwal, Saudi Arabia Tree Species Mapping using Multi-Date Hyperspectral Data and Deep Learning. NorthStar Earth and Space, Canada Functional connectivity analysis in the Lipa wetland system as a decision-making tool for conservation Instituto de Investigación de Recursos Biológicos Alexander von Humboldt, Colombia Species distribution modelling (SDM) based on neural networks and maximum entropy principle: a case study using Landsat time series 1: Inria, Univ Montpellier, Montpellier, France; 2: LIRMM, AMIS, Univ Paul Valéry Montpellier, Univ Montpellier, CNRS, Montpellier, France Retrospective detection and analysis of local habitat changes based on remote sensing data using machine learning using the example of grasshoppers 1: Federal Agency for Nature Conservation, Germany; 2: Environment Agency’s Application Laboratory for Artificial Intelligence and Big Data, Germany; 3: Osnabrück University, WG Biodiversity and Landscape Ecology, Germany Predicting spatio-temporal patterns of Lantana camara in a savannah ecosystem 1: Department of Remote Sensing, Institute of Geography and Geology, University of Würzburg, 97074 Würzburg, Germany; 2: Conservation and Research Department, Akagera National Park, Kayonza, Eastern Province, Rwanda Assessing Biodiversity Impacts of Land Use Intensification: A Remote Sensing-Based Analysis (2005-2022) 1: Sustainability Assessment of Food and Agricultural System, School of Management and School of Life Sciences. Technical University Munich.; 2: Institute of Meteorology and Climate Research, Atmospheric Environmental Research (IMK-IFU), Karlsruhe Institute of Technology; 3: Institute of Environmental Sciences (CML), Leiden University, Leiden, the Netherlands Detecting the Unwelcome: Remote Sensing Solutions for Invasive Species in Swedish Waters 1: Brockmann Consult, Germany; 2: Brockmann Geomatics, Sweden Mapping tropical forest-savanna transitions on a global scale 1: School of GeoSciences, University of Edinburgh, Edinburgh, EH9 3FF, UK; 2: Department of Ecology and Evolutionary Biology, Yale University, New Haven, Connecticut, USA; 3: Sustainability Research Institute, School of Earth and Environment, University of Leeds, Leeds, LS2 9JT, UK Terrestrial Habitat Connectivity as a testbed for the European Green Deal Data Space: from EO to in-situ and IoT data 1: CREAF, Spain; 2: ASTON University, UK; 3: Poznan Supercomputing and Networking Center, Poland; 4: IoT Lab, Switzerland HARNESSING AI AND REMOTE SENSING TO FOSTER HIGH RESOLUTION HABITAT MAPPING 1: University of Grenoble Alpes, University Savoie Mont Blanc, CNRS, LECA, 38000, Grenoble, France; 2: Wageningen Environmental Research (WENR) Using Neural Networks and Remote Sensing for Efficient Mapping of Woodland Annex I Habitats in Sweden Metria AB, Sweden Multi-source Earth observation analysis in Canadian grasslands: Enhancing woody plant encroachment detection benefiting the environment and economy 1: Department of Geography and Planning, University of Saskatchewan, Canada; 2: Department of Agricultural & Resource Economics, University of Saskatchewan, Canada; 3: Department of Plant Sciences, University of Saskatchewan, Canada Effects of rising temperatures on nesting count trends of loggerhead turtles 1: CICGE - Faculty of Sciences of the University of Porto, Portugal; 2: CFE - University of Coimbra, Portugal; 3: Flora Fauna y Cultura de Mexico & Riviera Maya Sea Turtle Conservation Program, Mexico; 4: Sea Turtle Conservation and Research Program, Mote Marine Laboratory, Sarasota, USA; 5: Estación Biológica de Doñana, CSIC, Spain; 6: BIOS Cabo Verde A satellite remote sensing-based reconstruction of bark beetle (Ips typographus, L.) out-breaks in South- and East Tyrol (Italy/Austria). 1: University of Innsbruck, Austria, Department of Geography; 2: University of Innsbruck, Austria, Department of Ecology Biodiversity recovery in the salt marshes of Moravian Pannonia: Assessment of heterogeneity and climate vulnerability 1: World from Space, Czech Republic; 2: Masaryk University, Czech Republic; 3: VUMOP, Czech Republic Integrating remote sensing imagery into the study of insect migration: towards an interdisciplinary roadmap 1: Institut Botànic de Barcelona (IBB), Spanish National Research Council (CSIC), Barcelona, 08038 Catalonia, Spain; 2: Departament de Biologia Animal, Biologia Vegetal i Ecologia (BABVE), Universitat Autònoma de Barcelona, ES-08193 Bellaterra, Catalonia, Spain; 3: University of Ottawa, Department of Biology, Ottawa, K1N 7N9 Canada; 4: University of Ottawa, Department of Earth and Environmental Sciences, Ottawa, K1N 7N9 Canada; 5: Center for Ecological Research and Forestry Applications (CREAF), Grumets Research Group, Cerdanyola de Vallès, 08193 Catalonia, Spain High-resolution habitat mapping for assessing ocean acidification effects on benthic marine communities at volcanic CO2 vents 1: Ischia Marine Centre, Department of Integrative Marine Ecology, Stazione Zoologica Anton Dohrn – National Institute of Marine Biology, Ecology and Biotechnology, 80077 Ischia, Italy; 2: Department of Marine Ecology, Centre d’Estudis Avançat de Blanes - CSIC, 17300 Blanes, Girona, Spain; 3: Genoa Marine Centre, Department of Integrative Marine Ecology, Stazione Zoologica Anton Dohrn – National Institute of Marine Biology, Ecology and Biotechnology, 16126 Genova, Italy; 4: Laboratoire d’Océanographie de Villefranche, Sorbonne Université, CNRS, 06230 Villefranche-sur-mer, France; 5: Department of Environmental Biology, University of Rome La Sapienza, 00185 Rome, Italy Vegetation response components to drought regimes attributes in the Mediterranean Basin 1: University of Genova, Italy; 2: CIMA Research Foundation, Italy; 3: National Research Council, Institute of Atmospheric Sciences and Climate, Italy; 4: National Biodiversity Future Center, Italy; 5: University of Zurich, Switzerland Predicting butterfly species presence from satellite imagery using soft contrastive learning 1: The Alan Turing Institute, London, United Kingdom; 2: UK Centre for Ecology & Hydrology, Wallingford, United Kingdom Multi-Stage Semantic Segmentation to Map Small and Sparsely Distributed Habitats 1: The Alan Turing Institute, London, United Kingdom; 2: Peak District National Park Authority, Bakewell, United Kingdom; 3: Cranfield University, Cranfield, United Kingdom Precision dune monitoring: using AI, satellite imagery and LiDAR, for biodiversity and coastal protection 1: HKV consultants, The Netherlands; 2: HHNK water authority, The Netherlands Biodiversity monitoring by species distribution modelling using species association interactors from Sentinel-2 data: A case study of the GUARDEN project 1: Meise Botanic Garden, Belgium; 2: INRIA Evaluating the Transferability of Tree Species Classification Models Between EnMAP and PRISMA Hyperspectral Data. 1: Department of Astronautical, Electric and Energy Engineering (DIAEE), Sapienza University of Rome, Rome, Italy.; 2: School of Aerospace Engineering, EOSIA Lab, Sapienza University of Rome, Italy. Monitoring Nature-Based Solutions in Agriculture: Using Sentinel Time Series for Catch Crop Classification 1: KU Leuven, Department of Earth and Environmental Sciences, Celestijnenlaan 200E, 3001 Leuven, Belgium; 2: Research Institute for Nature and Forest (INBO), Havenlaan 88, 1000 Brussels, Belgium; 3: KU Leuven Plant Institute (LPI), Kasteelpark Arenberg 31, 3001 Leuven, Belgium Assessing the age of permanent grassland with time series from Sentinel-2 and Landsat-5/8 imagery 1: ZRC SAZU - Research Centre of the Slovenian Academy of Sciences and Arts, Slovenia; 2: Sinergise Solutions, Ltd.; 3: Faculty of Civil and Geodetic Engineering, University of Ljubljana Comparing habitat mapping results with remote sensing-derived Rao’s Q diversity index values in a complex Mediterranean environment Università degli Studi della Tuscia, Italy Global trends in the exposure of protected areas to human pressure 1: MOE Key Laboratory for Biodiversity Science and Ecological Engineering, School of Life Sciences, Fudan University, Shanghai, 200438, China; 2: Dept. of Biology and Biotechnologies "Charles Darwin", Sapienza University of Rome, viale dell'Università 32, I-00185 Rome, Italy Exploring the potential of hyperspectral data from space supporting harmful algal bloom studies 1: ISMAR - CNR, Rome, Italy; 2: ISOMER - Nantes University, Nantes, France; 3: LITTORAL - Ifremer, Nantes, France; 4: PHYTOX - Ifremer, Nantes, France; 5: LITTORAL - Ifremer, Lorient, France; 6: ISMAR - CNR, Venice, Italy Estimation of river wildness with Artificial Intelligence, Remote Sensing and Citizen Science 1: Institute of Terrestrial Ecosystems, ETH Zurich, Zurich, Switzerland; 2: Swiss Federal Institute for Forest, Snow and Landscape Research, Birmensdorf, Switzerland; 3: MARBEC, Université de Montpellier, CNRS, Ifremer, IRD, Montpellier, France Space-based hydrological models improve identification of fine-scale wildlife movement corridors 1: School for Environment and Sustainability, University of Michigan, Ann Arbor, MI, USA; 2: International Union for Conservation of Nature, Lalitpur, Kathmandu, Nepal; 3: National Trust for Nature Conservation, Kathmandu, Nepal; 4: USAID Biodiversity, Jal Jangal, Kathmandu, Nepal; 5: Southeast Asia Biodiversity Research Institute, Chinese Academy of Sciences & Center for Integrative Conservation, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Mengla, Yunnan, China; 6: Department of National Parks and Wildlife Conservation, Kathmandu, Nepal; 7: Ministry of Forests and Environment, Government of Nepal, Kathmandu EL-BIOS: The Greek National Earth Observation Data Cube for Supporting Biodiversity Management and Conservation 1: Laboratory of Photogrammetry and Remote Sensing (PERS Lab), School of Rural and Surveying EngineeringAristotle University of Thessaloniki, Greece; 2: School of Electrical and Computer Engineering, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece; 3: The Goulandris Natural History Museum—Greek Biotope Wetland Centre (EKBY), 57001 Thessaloniki, Greece; 4: Green Fund-Greek Ministry of Environment and Energy-Greek Ministry of Environment and Energy; 5: Natural Environment and Climate Change Agency (NECCA) The Impact of Mowing on Corncrake (Crex crex) Populations in Intermittent Lake Cerknica: Insights from Sentinel-2 and PlanetScope Time Series (2017-2023) 1: University of Ljubljana Faculty of Civil and Geodetic Engineering, Slovenia; 2: Notranjska regional park |
Date: Friday, 14/Feb/2025 | |
10:15am - 10:45am |
Coffee Break Location: Big Tent |
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