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: Tuesday, 11/Feb/2025 | |||||
8:30am - 8:45am |
Welcome Coffee Location: Big Tent |
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8:45am - 9:45am |
The future of biodiversity monitoring: New Earth Observation missions and Initiatives from Space Agencies Location: Big Hall Eyes On Biodiversity: ESA’s Future Optical Earth Observation Missions European Space Agency, Netherlands, The The future of biodiversity monitoring: New Earth Observation missions and Initiatives from Space AgenciesRadar Imaging Missions - SAR ESA, Italy NASA Earth - New U.S. Earth Observing Missions National Aeronautics and Space Administration (NASA) CNES Space Missions for the Monitoring and Study of Biodiversity CNES, France Earth Observation missions for Biodiversity Monitoring JAXA, Japan Canada’s upstream SEO assets and nature-related applications development Canadian Space Agency, Canada AquaWatch Australia - A ‘weather service’ for water quality CSIRO, Australia |
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9:45am - 10:00am |
Break |
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10:00am - 11:30am |
Ecosystem Extent Location: Big Hall Chair: Sandra Luque, INRAE Chair: Bruno Smets, VITO Global Ecosystems Atlas: Measure to Manage GEO secretariat, IGO 10:10am - 10:20am Increasing engagement of the Committee on Earth Observation Satellites (CEOS) with biodiversity 1: NASA Jet Propulsion Laboratory, California Institute of Technology; 2: CSIRO; 3: INRAE/CNES; 4: USGS 10:20am - 10:30am The utility of global ecosystem maps for national ecosystem reporting - A focus on the World Terrestrial Ecosystems U.S. Geological Survey, United States of America 10:30am - 10:40am Availability and use of in situ data for European habitat mapping Wageningen Environmental Research (WENR), the Netherlands 10:40am - 10:50am Mapping ecosystem extent under the SEEA EA framework: complementarity of biodiversity and earth observation data needs 1: University of Patras, Department of Sustainable Agriculture, 2 G. Seferi St., 30131 Agrinio, Greece; 2: Remote Sensing Unit, Flemish Institute for Technological Research NV (VITO), 2400 Mol, Belgium; 3: Environmental Systems Analysis Group, Wageningen University, The Netherlands; 4: Basque Centre for Climate Change (BC3), Scientific Campus of the University of the Basque Country, Sede Building 1, 1st Floor, Barrio Sarriena S/N, 48940 Leioa, Bizkaia, Spain; 5: IKERBASQUE, Basque Foundation for Science, Plaza Euskadi, 5, 48009 Bilbao, Spain; 6: Laboratory of Photogrammetry and Remote Sensing (PERS Lab), School of Rural and Surveying Engineering, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece; 7: Institute of Landscape Ecology of the Slovak Academy of Sciences, Akademická 2, Branch Nitra, Slovakia; 8: University of Patras, Department of Biology, Laboratory of Botany, 26504 Patras, Greece 10:50am - 11:00am Mapping +30 Years of Mangrove Extent in Tanzania Using Historical Data and Remote Sensing: A Collaborative, Open-Source Approach 1: Institute of Marine Sciences, University of Dar es Salaam, Buyu Campus, Zanzibar, Tanzania; 2: World Wide Fund for Nature (WWF) Germany, Germany; 3: Earth Observation Lab, Geography Department, Humboldt-Universität zu Berlin; 4: East African Crude Oil Pipeline (EACOP), Msasani Peninsula, Dar es Salaam, Tanzania; 5: Western Indian Ocean Mangrove Network, Zanzibar, Tanzania; 6: Center for Forest Watershed Research, Southern Research Station, USDA Forest Service, Cordesville, SC 29434, USA 11:00am - 11:10am Integrating Remote Sensing and Machine Learning for Biodiversity Net Gain Assessments in the United Kingdom 1: Environment and Sustainability Institute, University of Exeter, Penryn Campus; 2: Department of Computer Science, Faculty of Environment, Science and Economy, University of Exeter; 3: RSK Biocensus, Suites 1-3 Bank House, Bond's Mill, Gloucestershire |
Ecosystem Traits and their use in biodiversity applications Location: Magellan meeting room Chair: Micol Rossini, University of Milano Bicocca Chair: Gregory Duveiller, Max Planck Institute for Biogeochemistry Biodiversity from Space: Understanding Large-Scale Patterns of Ecosystem Structure and Diversity with Remote Sensing 1: Aarhus University, Denmark; 2: Jet Propulsion Laboratory / California Institute of Technology, USA; 3: NASA Headquarters, USA; 4: University of Wisconsin-Madison, USA; 5: University of Montana, USA; 6: University of California Los Angeles, USA; 7: University of Milano-Bicocca, USA 10:10am - 10:20am Vegetation structure and plant functional traits predict pollination networks across the tropics 1: University of Oxford, Environmental Change Institute, School of Geography and the Environment Oxford, UK; 2: Universidade Federal de Goiás, Department of Ecology, Instituto de Ciências Biológicas, Goiânia, Brazil; 3: Northumbria University, Department of Geography and Environmental Sciences, Newcastle upon Tyne, United Kingdom; 4: Universidade de São Paulo (USP), Departamento de Biologia, Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto (FFCLRP), São Paulo, Brazil; 5: National Institute of Science and Technology in Interdisciplinary and Transdisciplinary Studies in Ecology and Evolution (INTREE), Brazil; 6: University of Copenhagen, Center for Macroecology, Evolution and Climate, GLOBE Institute, Copenhagen, Denmark; 7: University of Würzburg, Department of Animal Ecology and Tropical Biology, Wüzburg, Germany; 8: Federal University of São Carlos, Department of Environmental Sciences, São Carlos, Brazil; 9: Universidade Federal do Ceará, Bee Unit, Department of Animal Sciences, Fortaleza - CE, Brazil; 10: University of Florida, Department of Biology, Gainesville, FL USA; 11: University of Coimbra, Centre for Functional Ecology, Associate Laboratory TERRA, Department of Life Sciences, Coimbra, Portugal; 12: University of Exeter, Centre for Ecology and Conservation, Penryn Campus, UK; 13: Mediterranean Institute for Advanced Studies (CSIC-UIB), Global Change Research Group, C/Miquel Marques 21Esporles, Mallorca, Balearic Islands, Spain 10:20am - 10:30am A Bayesian Framework for Sensor-Agnostic Plant Trait Prediction Using Imaging Spectroscopy 1: NASA Goddard Space Flight Center; 2: GESTAR II, Morgan State University; 3: ESSIC, University of Maryland; 4: Science Systems and Applications, Inc.; 5: Jet Propulsion Laboratory; 6: University of Wisconsin 10:30am - 10:40am Towards estimating vegetation structure from orbit: a case study for tropical forest and TanDEM-X 1: Helmholtz Centre for Environmental Research UFZ, Leipzig Germany; 2: German Aerospace Center (DLR), Oberpfaffenhofen Germany 10:40am - 10:50am Exploring the role of vegetation height heterogeneity through LiDAR information for biodiversity estimation 1: Free University of Bolzano-Bozen, Italy; 2: Czech University of Life Sciences Prague; 3: University of Bologna; 4: Czech University of Life Sciences Prague; 5: Free University of Bolzano-Bozen, Italy 10:50am - 11:00am Soil carbon predictions across the landscape using remotely- sensed canopy structure measurements in southern Amazonia 1: University of Exeter, United Kingdom; 2: Permian Global, United Kingdom.; 3: University of São Paulo, Center for Nuclear Energy in Agriculture, Brazil |
DEMO - BON in a Box Location: James Cook meeting room Leveraging EO data for biodiversity monitoring and reporting with BON in a Box 1: GEO BON and McGill University; 2: Québec Centre for Biodiversity Science, Biodiversité Québec, and McGill University |
DEMO - OBIS Location: B15 room A Exploring Marine Biodiversity with OBIS OBIS - IODE/IOC/UNESCO |
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11:30am - 12:00pm |
Coffee Break Location: Big Tent |
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12:00pm - 1:30pm |
EO conceptual approaches to improve biodiversity monitoring Location: Big Hall Chair: Jean-Baptiste FERET, INRAE Chair: Lucie Viciano, Canadian Space Agency A Federated System of Systems approach for increased availability of EO-based biodiversity products NASA Jet Propulsion Laboratory, California Institute of Technology 12:10pm - 12:20pm Biodiversity in changing terrestrial, aquatic, and marine Ecosystems: Calling for a unifying earth observation perspective 1: Plymouth Marine Laboratory, United Kingdom; 2: U. Twente, The Netherlands; 3: Brockman Geomatics, Sweden; 4: U. South Florida, USA; 5: CNR, Italy; 6: U. Grenoble, France; 7: U. Miami, USA; 8: U. Wageningen, The Netherlands; 9: UNEP-WCMC, UK; 10: Deltares, The Netherlands; 11: U. of Athens, Greece; 12: EAWAG, Switzerland; 13: VITO, Belgium; 14: U. Nantes, France; 15: ESA-ESRIN, Italy 12:20pm - 12:30pm An EO-based framework for monitoring tropical forests ecosystems in Costa Rica: extent, condition and composition TETIS, AgroParisTech, Cirad, CNRS, INRAE, Université de Montpellier, Montpellier, France 12:30pm - 12:40pm From Ground to Canopy: Integrating Ground-based Sensors with Remote Sensing to Improve Urban Tree Management 1: University of Cambridge; 2: Imperial College London 12:40pm - 12:50pm Development of an OECD farmland habitat biodiversity indicator with remote sensing – A pilot study for Germany 1: Thünen Institute of Farm Economics, Bundesalle 63, 38116 Braunschweig, Germany; 2: Thünen Institute of Biodiversity, Bundesalle 65, 38116 Braunschweig, Germany 12:50pm - 1:00pm How do Earth Observation Foundation Models Help to Predict Multi-Trophic Soil Biodiversity University of Grenoble Alpes, University Savoie Mont Blanc, CNRS, LECA, 38000, Grenoble, France 1:00pm - 1:10pm Scaling-up island biodiversity monitoring with remote sensing: Insights from the BioMonI project 1: Université de Neuchâtel, Switzerland; 2: Universidad de La Laguna, Tenerife, Spain; 3: University of Göttingen, Germany 1:10pm - 1:20pm 5th International Polar Year - an opportunity for biodiversity assessment across scales University of Zurich, Switzerland 1:20pm - 1:30pm Looking at the dark side of the Earth: why we need high resolution night images ? Université catholique de Louvain, Belgium |
Ecosystem Function and Functional Diversity Location: Magellan meeting room Chair: Javier Pacheco Labrador, Spanish National Research Council Chair: Roshanak Darvishzadeh, University of Twente, Faculty ITC A comparative analysis of field-based ecology and remote sensing approaches to plant functional diversity 1: Data Observartory Foundation, Santiago, Chile; 2: Faculty of Engineering and Sciences, Adolfo Ibáñez University, Santiago, Chile; 3: Environmental Remote Sensing and Spectroscopy Laboratory (SpecLab), Spanish National Research Council, Madrid, Spain; 4: Department of Land Resources and Environmental Sciences, Montana State University, Bozeman, MT, USA; 5: Institute for Earth System Science and Remote Sensing, Leipzig University, Germany; 6: Center for Climate Resilience Research (CR)2, University of Chile, Santiago, Chile; 7: GEMA Center for Genomics, Ecology & the Environment, Universidad Mayor, Santiago, Chile 12:10pm - 12:20pm The death of the Spectral Variation Hypothesis and the rise of its useful ‘Zombies’ 1: University of Zurich; 2: Swiss National Park; 3: Free University of Bozen-Bolzano; 4: Czech University of Life Sciences Prague 12:20pm - 12:30pm BOSSE, a Biodiversity Observing System Simulation Experiment for assessing Biodiversity-Ecosystem Function relationships 1: Spanish National Research Council, Spain; 2: Max Planck Institute for Biogeochemistry, Jena, Germany; 3: European Commission, Joint Research Centre, Ispra, Italy 12:30pm - 12:40pm Satellite-derived biodiversity effects on the functioning and multifunctionality of ecosystems at global eddy covariance sites 1: Max Planck Institute for Biogeochemistry, Hans-Knöll-Str. 10, 07745 Jena, Germany; 2: Institute of Biology, Leipzig University, Leipzig, Germany; 3: Environmental Remote Sensing and Spectroscopy Laboratory (SpecLab), Spanish National Research Council, Albasanz 26-28, 28037, Madrid, Spain; 4: European Commission, Joint Research Centre, Ispra 21027 VA, Italy; 5: German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena Leipzig, Leipzig, Germany 12:40pm - 12:50pm 3D biodiversity and ecosystem function: Using lidar and hyperspectral remote sensing to understand ecosystem patterns and processes in a temperate forest 1: Michigan State University, USA; 2: US Forest Service, USA; 3: University of Minnesota, USA; 4: NASA, USA; 5: Virginia Commonwealth University, USA; 6: Pacific Northwest National Lab, USA; 7: University of Michigan, USA 12:50pm - 1:00pm Quantifying the functional trait variation across tropical forests with satellite data University of Oxford, United Kingdom 1:00pm - 1:10pm Exploring tree functional diversity with remote sensing over the Congo Basin within the CoForFunc project 1: Max Planck Institute for Biogeochemistry, Germany; 2: AMAP, Univ Montpellier, IRD, CNRS, INRAE, CIRAD, Montpellier, France; 3: Image Processing Laboratory, Universitat de València, Valencia, Spain; 4: Environmental Remote Sensing and Spectroscopy Laboratory (SpecLab), Spanish National Research Council, Madrid, Spain; 5: CREAF, E08193 Bellaterra (Cerdanyola del Vallès), Catalonia, Spain; 6: Universitat Autònoma de Barcelona, E08193 Bellaterra (Cerdanyola del Vallès), Catalonia, Spain; 7: Terra teaching and research centre, Gembloux Agro Bio-Tech, Université de Liège, Belgium |
DEMO - GEO Global Ecosystem Atlas Location: James Cook meeting room The Global Ecosystems Atlas: An Interactive Experience GEO secretariat, IGO |
DEMO - OpenEO Location: B15 room A Accelerating Geospatial Insights: openEO's Scalable and Open Solutions VITO, Belgium |
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1:30pm - 3:00pm |
LUNCH Location: Canteen |
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3:00pm - 4:30pm |
WS: EBVs for the GBF Location: Big Hall Earth Observation, EBVs and indicators to facilitate reporting and progress on international biodiversity targets 1: UNEP-WCMC, United Kingdom; 2: Nature Solutions, Finnish Environment Institute; 3: Remote Sensing Laboratories, Department of Geography, University of Zurich; 4: Department of Natural Resources, Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente; 5: Environmental Intelligence Unit, Remote sensing | Natural Capital Accounting & Biodiversity, Flemish Institute for Technological Research (VITO); 6: Dept. of Geography, University of Zurich, Switzerland; 7: Dept. of Geography, University of Zurich, Switzerland & Dept. of Chemistry, University of Zurich, Switzerland; 8: GEO BON, Department of Biology, McGill University, Canada |
WS: GBiOS Location: Magellan meeting room Establishing a Global Biodiversity Observation System (GBiOS): What do we have, and what do we need? 1: GEOBON / McGill University; 2: University of Hong Kong, Hong Kong S.A.R. (China)/ APBON Co-designing the European Biodiversity Observation Centre and Network German Centre of Integrative Biodiversity Research (IDiv), Germany Data for Asia- what do we know? University of Hong Kong, Hong Kong S.A.R. (China) Innovation journey for the forest monitoring tools developed in FAO FAO, Italy Random Thoughts on Starting a GBiOS NASA, United States of America |
WS: Ecosystem Accounting Location: James Cook meeting room Monitoring Biodiversity with Ecosystem Accounting 1: VITO, Belgium; 2: Basque Center for Climate Change, Spain; 3: Wageningen University, Netherlands |
WS: Farmland biodiversity Location: B15 room A Farmland Habitat Biodiversity 1: European Commission - Joint Research Center, Ispra, Italy; 2: Thünen Institute for Farm Economics, Bundesalle 63, 38116 Braunschweig; 3: Thünen Institute for Biodiversity, Bundesalle 65, 38116 Braunschweig |
WS: Indigenous and local community Location: B15 room C Data Sovereignty and Ethical Approaches to Indigenous Knowledge in Space-Based Biodiversity Monitoring 1: Space4innovation; 2: GEO Indigenous Alliance; 3: Environment and Climate Change Canada ECCC; 4: Michigan State University, USA; 5: University of Minnesota, USA; 6: Gabrielino-Shoshone Nation of Southern California; 7: University of California Los Angeles; 8: University of California Merced; 9: Stanford University |
4:30pm - 5:00pm |
Coffee Break Location: Big Tent |
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5:00pm - 6:30pm |
WS: EBVs for the GBF - continued Location: Big Hall |
WS: GBiOS - continued Location: Magellan meeting room |
WS: Ecosystem Accounting - continued Location: James Cook meeting room |
WS: Farmland biodiversity - continued Location: B15 room A |
WS: Indigenous and local community - continued Location: B15 room C |
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 |
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