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 |
Date: Thursday, 13/Feb/2025 | |||||
8:30am - 8:45am |
Welcome Coffee Location: Big Tent |
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8:45am - 9:45am |
From Space to Sustainability: EO's Role in a nature-positive economy Location: Big Hall State of Nature Metrics for Piloting Update post consultation University of Oxford, United Kingdom Message from UNEP UNEP FI Message from World Bank World Bank Leveraging Earth Observation for Nature Finance Director, Global Finance Group, University of Oxford Co-I, LEON |
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9:45am - 10:00am |
Break |
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10:00am - 11:30am |
Habitats Suitability , Connectivity and Species Distribution Location: Big Hall Chair: Pedro J Leitão, University of Leipzig Chair: Maria J. Santos, University of Zurich Advancing 1km2 species distribution EBVs for biodiversity monitoring and planning: progress and challenges 1: Yale Center for Biodiversity and Global Change, United States of America; 2: Yale University, United States of America 10:10am - 10:20am From presence-only to abundance species distribution models using transfer learning 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 10:20am - 10:30am Predicting species distributions in the open ocean using satellite-derived environmental data and convolutional neural networks 1: UMR Marbec, IRD, Univ. Montpellier, CNRS, Ifremer - Montpellier, France; 2: INRIA, Montpellier, France 10:30am - 10:40am Mapping more of biodiversity: integrating spatial and phylogenetic information to improve data-deficient species distributions 1: Ecology and Evolutionary Biology Department, Yale University, United States of America; 2: Biodiversity and Global Change Center, Yale University 10:40am - 10:50am An interactive tool to monitor species genetic diversity from Earth observations 1: University of Zurich, Switzerland; 2: GEO BON, McGill University, Canada; 3: Université de Sherbrooke, Canada; 4: Morton Arboretum, USA; 5: National Autonomous University of Mexico (UNAM), Mexico; 6: Fondazione Edmund Mach, Italy; 7: Comisión Nacional para el Conocimiento y Uso de la Biodiversidad (CONABIO), Mexico; 8: European Space Agency (ESA); 9: Research Institute for Forest, Snow, and Landscape (WSL), Switzerland; 10: Stockholm University, Sweden; 11: Universities Space Research Association, Washington, DC, USA 10:50am - 11:00am Monitoring biodiversity with ecological niche models and time series of remote sensing products 1: CICGE - Centro de Investigação em Ciências GeoEspaciais, Faculdade de Ciências da Universidade do Porto; 2: Earth Sciences Institute (ICT), Pole of the FCUP, University of Porto, 4169-007 Porto, Portugal; 3: Area of Ecology – Department of Botany, Ecology and Plant Physiology, Faculty of Sciences (University of Cordoba). Campus de Rabanales. 14014 Córdoba, Spain; 4: CoLAB ForestWISE - Collaborative Laboratory for Integrated Forest & Fire Management, Quinta de Prados, Campus da UTAD, 5001-801 Vila Real, Portugal; 5: Department of Geosciences, Environment and Land Planning, Faculty of Sciences, University of Porto, Rua Campo Alegre, 687, 4169-007 Porto, Portugal 11:00am - 11:10am Walruses from Space: walrus counts from simultaneously captured remotely piloted aircraft system imagery vs very high-resolution satellite imagery 1: British Antarctic Survey, United Kingdom; 2: Norwegian Polar Institute, Norway; 3: WWF-UK, United Kingdom 11:10am - 11:20am Albatrosses From Space: A citizen science approach to monitor remote colonies using satellite imagery 1: British Antarctic Survey, Natural Environment Research Council, High Cross, Madingley Road, Cambridge CB3 0ET, UK; 2: South Georgia Surveys, FIQQ 1ZZ, Stanley, Falkland Islands; 3: RSPB Centre for Conservation Science, Royal Society for the Protection of Birds, The Lodge, Sandy, UK 11:20am - 11:30am MagGeo – A data fusion tool to link Earth's magnetic data from Swarm Mission to Wildlife GPS trajectories The University of St Andrews, United Kingdom |
Ecosystem Condition and Restoration Location: Magellan meeting room Chair: Duccio Rocchini, Alma Mater Studiorum University of Bologna Chair: Jana Mullerova, Jan Evangelista Purkyne University in Usti n.L. Monitoring forest ecosystem restoration with FERM and SEPAL geospatial tools FAO, Italy 10:10am - 10:20am Mapping individual tree mortality using sub-meter Earth observation data: Advances toward a large-scale global database 1: School of Forest Sciences, Faculty of Science, Forestry and Technology, University of Eastern Finland; 2: Swiss Federal Institute for Forest, Snow and Landscape Research WSL, Switzerland; 3: Department of Forest Sciences, Faculty of Agriculture and Forestry, University of Helsinki, Finland; 4: Department of Remote Sensing and Photogrammetry, Finnish Geospatial Institute (FGI) of National Land Survey of Finland; 5: KOKO Forest Ltd., Helsinki, Finland; 6: Institute of Forestry and Engineering, Estonian University of Life Sciences, Estonia; 7: Institute for Earth System Science and Remote Sensing, Leipzig University, Germany; 8: Center for Scalable Data Analytics and Artificial Intelligence (ScaDS.AI), Germany; 9: Sensor-based Geoinformatics (geosense), University of Freiburg, Germany; 10: Czech University of Life Sciences, Faculty of Forestry and Wood Sciences, Czech Republic; 11: Department of Geosciences and Natural Resource Management, University of Copenhagen, Denmark 10:20am - 10:30am Reclaiming the Forest: Indigenous-Led Reforestation and Carbon Monitoring in the Ecuadorian Amazon 1: Geo Indigenous Alliance; 2: Space4Innovation 10:30am - 10:40am RestorEO – Towards an EO-based monitoring system for biodiversity and ecosystem restoration in Austria 1: Joanneum Research, Austria; 2: University Graz, Austria 10:40am - 10:50am Linkages Between Condition Indicators and the Flood Control Ecosystem Service in the Urban Ecosystem 1: European Commission, DG JRC, Italy; 2: Unisystems Luxembourg Sarl, Luxembourg 10:50am - 11:00am A multisource adaptive strategy for the characterization and monitoring of ecological corridors by remote sensing. i-Sea, France 11:00am - 11:15am Spatiotemporal patterns of Amazonian canopy mortality revealed by remote sensing time series 1: Space Intelligence; 2: School of Geosciences, University of Edinburgh |
DEMO - Global Terrestrial Laser Scanning Database Location: James Cook meeting room Understanding 3D Structural Signature of Biodiversity Traits in Dry Forests 1: NASA Goddard Space Flight Center, United States of America; 2: University of Maryland, United States; 3: TIIAME National Research University, Uzbekistan; 4: Sonoma State University, United States; 5: Ghent University, Belgium; 6: University College London, United Kingdom |
DEMO - Open tools for conservation and restoration impact evaluation Location: B15 room A Open tools for conservation and restoration impact evaluation University of Twente - Faculty of Geo-Information Science and Earth Observation (ITC), Netherlands |
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11:30am - 12:00pm |
Coffee Break Location: Big Tent |
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12:00pm - 1:30pm |
Ecosystem Vulnerability, Integrity and Resilience Location: Big Hall Chair: Gabriela Schaepman-Strub, University of Zurich Chair: Fabian D. Schneider, Aarhus University Quantifying the relationship between forest structural diversity and forest resilience. 1: Joint Research Centre Consultant, Ispra, Italy; 2: European Space Research Institute, ESA-ESRIN, Frascati, Italy; 3: Joint Research Centre, European Commission, Ispra, Italy; 4: Department of Civil and Environmental Engineering, University of Florence, Florence, Italy 12:10pm - 12:20pm Monitoring Biodiversity Change to Guide Conservation Action Using AI and Satellite Time-Series 1: NASA Jet Propulsion Laboratory, Los Angeles, USA; 2: Aarhus University, Aarhus, Danmark 12:20pm - 12:30pm Evaluating the impacts of disturbance on forest carbon and structure across the wet tropics using near-coincident GEDI shots 1: Conservation Research Institute and Dept of Plant Sciences, University of Cambridge, United Kingdom; 2: Conservation Research Institute and Dept of Computer Science and Technology, University of Cambridge, United Kingdom 12:30pm - 12:40pm Functional Trait Responses to Drought in a temperate forest: Insights from Earth Observation 1: Department of Earth and Environmental Sciences, University of Milano-Bicocca, Italy; 2: Institute of Geographical Sciences, Remote Sensing and Geoinformatics, Freie Universität Berlin, Germany 12:40pm - 12:50pm Towards mapping ecosystem resilience from space: canopy defensive properties in European temperate forest revealed with spaceborne imaging spectroscopy Faculty of Geo-Information Science and Earth Observation, University of Twente 12:50pm - 1:00pm Challenges of broad-scale biodiversity intactness modeling 1: Uppsala University, Sweden; 2: Natural Capital Project, Stanford University, USA; 3: Princeton University, USA 1:00pm - 1:10pm A framework for insect-based biodiversity intactness monitoring and reporting in Africa. International Centre of Insect Physiology and Ecology (ICIPE, Kenya 1:10pm - 1:20pm Using synthetic controls to attribute biodiversity shifts to remotely sensed landscape modifications 1: LECA, CNRS, France; 2: VITO NV, Belgium |
Biodiversity-Related Risks and Nature Markets Location: Magellan meeting room Chair: Julien Radoux, Université catholique de Louvain Chair: Nicholas Coops, UBC FOrestry Rethinking the role of Earth Observation in assessing nature-related economic and financial risks International Consultant on Natural Capital Accounting, Italy 12:10pm - 12:20pm Asset location data is the key to unlock and scale EO insights for biodiversity finance University of Oxford, United Kingdom 12:20pm - 12:30pm A framework for Monitoring, reporting and Verification of Biodiversity and Ecosystem Services (MRV-BES) Swedish University of Agricultural Sciences, Sweden 12:30pm - 12:40pm Global exposure of species, protected areas, countries and ecoregions to oil palm plantations 1: Durrel Institute for Conservation and Ecology, UK; 2: European Space Agency, Italy; 3: Arcadia SIT S.r.l., Italy; 4: Joint Research Centre of the European Commission, Italy 12:40pm - 12:50pm A satellite-supported service to monitor the habitat suitability of agricultural land and to evaluate the impact of agri-environmental policies on farmland birds 1: LUP - Luftbild Umwelt Planung GmbH, Germany; 2: University of Potsdam; 3: Sinergise Solutions; 4: VITO; 5: Eurac Research; 6: National Paying Agency under the Ministry of Agriculture of the Republic of Lithuania; 7: Agro Digital Solutions 12:50pm - 1:05pm Fast-forward private sector investment into conservation through outcome-based finance mechanisms The Landbanking Group, Germany 1:05pm - 1:20pm Assessing Financial Systemic Risk through Biodiversity Loss: A Multi-Disciplinary Analysis Using Earth Observation Data 1: Corvinus University of Budapest, Hungary; 2: University of Szeged, Hungary |
DEMO: Biodiversity data cubes Location: James Cook meeting room Biodiversity data cubes 1: Meise Botanic Garden / Stellenbosch University; 2: Meise Botanic Garden; 3: Alma Mater Studiorum University of Bologna |
DEMO: TerEcoData Location: B15 room A TerEcoData: a webservice to monitor terrestrial ecology changes from Earth Observing systems 1: Data-Terra / THEIA data hub – UAR 2013 CNRS, Montpellier, France; 2: École et Observatoire des Sciences de la Terre/EOST – UAR 830 CNRS, Université de Strasbourg, Strasbourg, France; 3: Institut Terre et Environnement de Strasbourg/ITES – UMR 7063 CNRS, Université de Strasbourg, Strasbourg, France; 4: Laboratoire Image, Ville, Environnement/LIVE – UMR 7362 CNRS, Université de Strasbourg, Strasbourg, France |
DEMO - Forecasting Landscape Dynamics Location: B15 room C How to integrate individual-based long-term monitoring and satellite-based landscape dynamics for biodiversity predictions 1: Institute of Integrative Biology, Department of Environmental Systems Science, ETH Zürich, Zürich, Switzerland; 2: Department of Botany and Zoology, Faculty of Science, Masaryk University, Czech Republic; 3: Doñana Biological Station (EBD-CSIC), Sevilla, Spain; 4: Center for Ecosystem Forecasting, Virginia Tech, Blacksburg, USA |
1:30pm - 3:00pm |
LUNCH Location: Canteen |
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3:00pm - 4:30pm |
WS: Integration in-situ and SRS Integration Location: Big Hall From Uncertainty to Action: Integrating In-Situ and Remote Sensing Campaigns for Open Biodiversity Data Products 1: University at Buffalo, United States of America; 2: Michigan State University, United States of America; 3: Vizzuality, United Kingdom; 4: University of California Merced, United States of America; 5: iDiv; 6: Spanish National Research Council (CSIC), Spain; 7: University of Zurich, Switzerland; 8: University of Capetown, South Africa |
WS: Copernicus for biodiversity Location: Magellan meeting room From Copernicus services to biodiversity monitoring 1: European Commission, Belgium; 2: European Environment Agency; 3: Mercator Ocean International; 4: ECMWF |
WS: Space Agencies support to Biodiversity Conservation (CEOS) Location: James Cook meeting room Increasing Space Agency Impact on Biodiversity Conservation 1: NASA Jet Propulsion Laboratory, California Institute of Technology; 2: CSIRO; 3: INRAE/CNES; 4: ESA; 5: USGS; 6: NASA |
WS: Ecosystem restoration Location: B15 room A Assessing nature restoration targets established by European and international policies 1: Evenflow; 2: Biodiversa+, Ministry of Agriculture, Fisheries, Food security and Nature; 3: EARSC; 4: Eurosite |
WS: Nature Finance Location: B15 room C Nature finance: challenges and opportunities 1: University of Oxford, United Kingdom; 2: Assimila; 3: Vizzuality |
4:30pm - 5:00pm |
Coffee Break Location: Big Tent |
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5:00pm - 6:30pm |
WS: Integration in in-situ and SRS Integration - continued Location: Big Hall |
WS: Copernicus for biodiversity - continued Location: Magellan meeting room |
WS: Space Agencies support to Biodiversity Conservation (CEOS) - continued Location: James Cook meeting room |
WS: Ecosystem restoration - continued Location: B15 room A |
WS: Nature Finance - continued Location: B15 room C |
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 |
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