Conference Agenda

Biodiversity from Space: Understanding Large-Scale Patterns of Ecosystem Structure and Diversity with Remote Sensing

Fabian D. Schneider^1,2, Ryan Pavlick^3,2, Ting Zheng⁴, Antonio Ferraz², Natalie Queally⁴, Ethan Shafron^2,5, Morgan Dean⁶, Laura Berman⁴, Zhiwei Ye⁴, Giulia Tagliabue⁷, Philip A. Townsend⁴

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

Vegetation structure and plant functional traits predict pollination networks across the tropics

Kendall M. Jefferys¹, Luísa G. Carvalheiro², Adrian Gonzalez-Chaves², Jacobus Petersen¹, Xiongjie Deng¹, Waira S. Machida², Katherine Baldock³, Danilo Boscolo^4,5, Daniel Carstensen⁶, Alice Classen⁷, Patrícia Alves Ferreira^5,8, Breno M. Freitas⁹, Alipio Pacheco Filho⁹, Travis J. Guy¹⁰, Ruben Heleno¹¹, Christopher Kaiser-Bunbury¹², Luciano Elsinor Lopes^5,8, Gabriel Guariglia Perez⁸, Raimunda Gomes Silva Soares⁴, Anna Traveset¹³, Chloe Strevens¹, Jesús Aguirre-Gutierrez¹

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

A Bayesian Framework for Sensor-Agnostic Plant Trait Prediction Using Imaging Spectroscopy

Dhruva Kathuria^1,2, Yoseline Angel^1,3, Evan Lang^1,4, Dana Chadwick⁵, Shawn Serbin¹, Philip G Brodrick⁵, Philip A Townsend⁶, Ting Zheng⁶, Alexey N Shiklomanov¹

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

Towards estimating vegetation structure from orbit: a case study for tropical forest and TanDEM-X

Andreas Huth¹, Leonard Schulz¹, Kostas Papathanassiou²

1: Helmholtz Centre for Environmental Research UFZ, Leipzig Germany; 2: German Aerospace Center (DLR), Oberpfaffenhofen Germany

Exploring the role of vegetation height heterogeneity through LiDAR information for biodiversity estimation

Michele Torresani¹, Vítězslav Moudrý², Duccio Rocchini³, Michela Perrone⁴, Roberto Tognetti⁵

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

Soil carbon predictions across the landscape using remotely- sensed canopy structure measurements in southern Amazonia

Jessica P. Thomas¹, Andrew M. Cunliffe¹, Hugh A. Graham^1,2, Tom Powell¹, Plinio B. Camargo³, Ted R. Feldpausch¹

1: University of Exeter, United Kingdom; 2: Permian Global, United Kingdom.; 3: University of São Paulo, Center for Nuclear Energy in Agriculture, Brazil

A comparative analysis of field-based ecology and remote sensing approaches to plant functional diversity

José Miguel Cerda-Paredes^1,2, Laura C. Pérez-Giraldo¹, Javier Pacheco-Labrador³, Anna K. Schweiger⁴, Miguel D. Mahecha⁵, Javier Lopatin^1,2,6, Dylan Craven^1,7

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

The death of the Spectral Variation Hypothesis and the rise of its useful ‘Zombies’

Christian Rossi^1,2, Michele Torresani³, Michela Perrone⁴, Leon Hauser¹

1: University of Zurich; 2: Swiss National Park; 3: Free University of Bozen-Bolzano; 4: Czech University of Life Sciences Prague

BOSSE, a Biodiversity Observing System Simulation Experiment for assessing Biodiversity-Ecosystem Function relationships

Javier Pacheco-Labrador^1,2, Ulisse Gomarasca², Daniel E. Pabon-Moreno², Wantong Li², Martin Jung², Mirco Migliavacca³, Gregory Duveiller²

1: Spanish National Research Council, Spain; 2: Max Planck Institute for Biogeochemistry, Jena, Germany; 3: European Commission, Joint Research Centre, Ispra, Italy

Satellite-derived biodiversity effects on the functioning and multifunctionality of ecosystems at global eddy covariance sites

Ulisse Gomarasca^1,2, Gregory Duveiller¹, Javier Pacheco-Labrador³, Alessandro Cescatti⁴, Christian Wirth^1,2,5, Markus Reichstein^1,5, Mirco Migliavacca⁴

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

3D biodiversity and ecosystem function: Using lidar and hyperspectral remote sensing to understand ecosystem patterns and processes in a temperate forest

Kyla M Dahlin¹, Meicheng Shen¹, Aaron G Kamoske², Adriana Uscanga³, Scott C Stark¹, Shawn P Serbin⁴, Chris M Gough⁵, Ben Bond-Lamberty⁶, Jason M Tallant⁷, Jeffrey W Atkins²

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

Quantifying the functional trait variation across tropical forests with satellite data

Jesus Aguirre Gutierrez

University of Oxford, United Kingdom

Exploring tree functional diversity with remote sensing over the Congo Basin within the CoForFunc project

Gregory Duveiller¹, Pierre Ploton², Nicolas Barbier², Ulisse Gomarasca¹, Felix Cremer¹, Maria Piles³, Javier Pacheco-Labrador⁴, Jordi Martinez-Vilalta^5,6, Jean-François Bastin⁷, Raphaël Pélissier²

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

Establishing a Global Biodiversity Observation System (GBiOS): What do we have, and what do we need?

Andrew Gonzalez¹, Alice Catherine Hughes²

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

Andres Camilo Marmol-Guijarro

German Centre of Integrative Biodiversity Research (IDiv), Germany

Data for Asia- what do we know?

Alice Catherine Hughes

University of Hong Kong, Hong Kong S.A.R. (China)

Innovation journey for the forest monitoring tools developed in FAO

Yelena Finegold

FAO, Italy

Random Thoughts on Starting a GBiOS

Gary Geller

NASA, United States of America

Scaling image-based marine plankton biodiversity using dynamic satellite seascapes: a contribution of the Southeast U.S. Marine Biodiversity Observation Network (SE US MBON)

Enrique Montes^1,2, Maria T. Kavanaugh³, Tyler Christian^1,2, Frank E. Muller-Karger⁴, Nicole C. Millete⁵, Luke R. Thompson^6,2, Christopher R. Kelble⁷

1: Cooperative Institute for Marine & Atmospheric Studies, Rosenstiel School of Marine, Atmospheric, and Earth Science of the University of Miami, Miami, Florida, USA; 2: Ocean Chemistry & Ecosystems Division, Atlantic Oceanographic and Meteorological Laboratory, National Oceanic and Atmospheric Administration, Miami, Florida, USA; 3: College of Earth, Ocean, and Atmospheric Sciences, Oregon State University, Corvallis, Oregon, USA; 4: College of Marine Science, University of South Florida, St Petersburg, Florida, USA; 5: Virginia Institute of Marine Science, William & Mary, Gloucester Pt., Virginia, USA; 6: Northern Gulf Institute, Mississippi State University, Starkville, Mississippi, USA; 7: Office of Science and Technology, National Marine Fisheries Service, National Oceanic and Atmospheric Administration, Silver Spring, Maryland, USA

Mediterranean 4D seascape based on phytoplankton phenology detected from satellite observations: patterns and drivers

Riccardo Nanni^1,2, Emanuele Organelli¹, Christian Marchese¹, Michela Sammartino², Simone Colella¹, Bruno Buongiorno Nardelli²

1: Istituto di Scienze Marine (ISMAR), Consiglio Nazionale delle Ricerche (CNR), Roma; 2: Istituto di Scienze Marine (ISMAR), Consiglio Nazionale delle Ricerche (CNR), Napoli

Absorption diversity of bloom-forming phytoplankton species, toward hyperspectral remote sensing identification of red tide events?

Maria Laura ZOFFOLI², Pierre GERNEZ¹, Victor POCHIC¹, Amalia Maria DETONI³, Pauline ROUX⁴, Martin HIERONYMI⁵, Henning BURMESTER⁵, Tristan HARMEL⁶, Thomas LACOUR⁷, Rüdiger ROETTGERS⁵

1: Nantes University, France; 2: Consiglio Nazionale delle Ricerche (CNR), Italy; 3: Consejo Superior de Investigaciones Científicas (CSIC), Spain; 4: Institute of Environmental Engineering (ETH Zurich), Switzerland; 5: Helmholtz-Center Hereon, Germany; 6: Magellium, France; 7: Ifremer, France

Phytoplankton assemblage structure off southwestern Iberia: combining complementary approaches to assess variability and underlying drivers

Maria João Lima, Ana Barbosa

Centre for Marine and Environmental Research (CIMA), Aquatic Research Network (ARNET), University of Algarve, Portugal

Linking satellites to genes to observe the phytoplankton community structure from space

Roy El Hourany¹, Juan Pierella Karlusich^2,3, Pedro Junger³, Lucie Zinger³, Hubert Loisel¹, Chris Bowler², Marina Levy⁴

1: Laboratoire d’Océanologie et de Géosciences; 2: FAS Harvard University; 3: Institut de Biologie de l'École Normale Supérieure; 4: Laboratoire d’Océanographie et du Climat: Expérimentations et Approches Numériques

A satellite-genomics approach to explore phytoplankton iron ecophysiology in the global ocean

Pedro C. Junger¹, Roy El Hourany², Vitushanie Yogaranjan¹, Juan Pierella Karlusich³, Chris Bowler¹

1: Institut de Biologie de l’École Normale Supérieure (IBENS), École Normale Supérieure, CNRS, INSERM, PSL Université Paris, 75005 Paris, France.; 2: Laboratoire d’Océanologie et de Géosciences (LOG), Univ. Littoral Côte d’Opale, Univ. Lille, CNRS, IRD, 62930 Wimereux, France.; 3: Department of Biology, Massachusetts Institute of Technology, 02139 Cambridge, MA, USA.

Relationships between shelf-sea fronts and biodiversity studied using Earth observation data

Peter I Miller¹, Emma Sullivan¹, Beth Scott², James Waggitt³, Will Schneider³, Deon Roos², Andrey Kurekin¹, Georgina Hunt², Graham Quartly¹, Juliane Wihsgott¹, Morgane Declerck², Elin Meek¹

1: Plymouth Marine Laboratory, United Kingdom; 2: University of Aberdeen, United Kingdom; 3: University of Bangor, United Kingdom

Large-scale automated detection of Humpback and Gray whales in satellite imagery using deep-learning for conservation monitoring off California

Ludwig HOUEGNIGAN, Eduardo CUESTA, Darcy BRADLEY

Polytechnic University of Catalonia, Spain

A Full Map of European Intertidal Seagrass.

Bede Ffinian Rowe Davies¹, Simon Oiry¹, Mar Roca², Phillipe Rosa¹, Maria Laura Zoffoli³, Dimitris Poursanidis⁴, Pierre Gernez¹, Laurent Barillé¹

1: University of Nantes, France; 2: University of Cadiz, Spain; 3: Consiglio Nazionale delle Riecerche; 4: Institute of Applied and Computational Mathematics/FORTH

Developing EO-based framework for estimating biodiversity variables of coral reef and seagrass ecosystems at Large Scale

Touria Bajjouk¹, Antoine Lavrard-Meyer¹, Audrey Minghelli², Lucas Drumetz³, Pascal Mouquet⁴, Antoine Huguet⁵, Malik Chami⁶, Mauro Dalla Mura⁷, Sophie Loyer⁸, Jean-Baptiste Féret⁹, Magali Duval¹⁰, Sylvain Bonhommeau¹⁰, Lionel Bigot¹¹

1: IFREMER, Centre de Bretagne, DYNECO Laboratoire d'Ecologie Benthique Côtière (LEBCO), Plouzané ,France; 2: Laboratoire d’Informatique et Systèmes (LIS) laboratory, Seatech, University de Toulon, CNRS-UMR 7020, Toulon, France; 3: IMT Atlantique, Lab-STICC, UMR CNRS, Brest, France; 4: UMR Espace-Dev/IRD, France; 5: IFREMER, Centre Atlantique, COAST-LERMPL, Nantes, France; 6: Université Côte d’Azur, Observatoire de la Côte d’Azur, CNRS, Sorbonne Université (UFR 918), France; 7: Univ. Grenoble Alpes, CNRS, Grenoble INP*, GIPSA-lab, Institut Universitaire de France (IUF), Grenoble, France; 8: Shom, Direction de la recherche, de l'innovation et des programmes, Brest, France; 9: TETIS, INRAE, AgroParisTech, CIRAD, CNRS, Université Montpellier, Montpellier, France; 10: IFREMER, Délégation océan Indien (DOI), Département Ressources Biologiques et Environnement (RBE), La Réunion, France; 11: Université de La Réunion-IRD-CNRS-Ifremer-Université de la Nouvelle Calédonie, UMR, La Réunion, France

A innovative approach for remote sensing methods and sensors benchmarking prior to BCE monitoring at large scale.

Benoit Beguet, Rémi Budin, Cécile Curti, Nicolas Debonnaire, Clemence Rozo, Julie Mollies, Amélie Sechaud, Manon Tranchand-Besset, Virginie Lafon, Aurélie Dehouck

i-Sea, France

Improving the assessment of Blue Carbon stock of mangroves using remote sensing along the Amazon coast

Elodie Blanchard¹, Thibault Catry¹, Quentin Marsal¹, Benoit Béguet², Jean-François Faure¹, Gwenaël Abril³, Johanna Jupin⁴, Christophe Proisy^5,6

1: UMR ESPACE-DEV, IRD, Univ. Montpellier, Univ. Guyane, Univ. La Réunion, Univ. Antilles, Montpellier, France; 2: i-Sea, Bordeaux, France; 3: UMR 8067 BOREA, MNHM, CNRS, IRD, SU, UCN, UAG, Paris, France; 4: UMR LOCEAN, IRD, Bondy, France; 5: UMR AMAP, IRD, Cayenne, French Guiana; 6: AMAP, IRD, CIRAD, CNRS, INRAE, Univ. Montpellier, Montpellier, France

Space-based monitoring of mangroves for anticipatory Nature-Based Solutions: a three-point research agenda

Christophe PROISY^1,2, Thibault CATRY³, Elodie BLANCHARD³, Paul-Emile AUGUSSEAU^1,2,4, Médie COLLET⁵, Adrien STAQUET^1,2,4, Quentin MARSAL^2,3, Gwenaël ABRIL⁶, Edward ANTHONY⁷, Elodie BORIAU^1,2, Léa ACKERER⁸, Benoit BEGUET⁹, Fabian BLANCHARD⁴, Jean-Bernard DUCHEMIN⁵, François FROMARD¹⁰, Antoine GARDEL⁴, Ludovic GRANJON⁴, Martine HOSSAERT¹¹, Dominique JOLY¹¹, Johanna JUPIN¹², Tanguy MAURY⁴, Christophe PEYREFITTE⁵, Philip ROCHE¹³, Pierre SCEMAMA¹⁴, Olivier THEBAUD¹⁴, Romain WALCKER¹⁰

1: AMAP, IRD, French Guiana, France; 2: AMAP, IRD, CIRAD, CNRS, INRAE, Univ. Montpellier, France; 3: ESPACE-DEV, IRD, Univ. Montpellier, Univ. Guyane, Univ. La Réunion, Univ. Antilles, Montpellier, France; 4: LEEISA, CNRS, IFREMER, Univ. Guyane, French Guiana, France; 5: Institut Pasteur de la Guyane, French Guiana, France; 6: BOREA, MNHN, CNRS, IRD, SU, UCN, UAG, Paris, France; 7: Aix-Marseille University, CNRS, IRD, INRAE, Collège de France, CEREGE, Aix-en-Provence, France; 8: SEPANGUY, Cayenne, French Guiana, France; 9: i-Sea, France; 10: CRBE, CNRS, Univ. Toulouse III Paul Sabatier, Toulouse INP, IRD; 11: CNRS, Paris, France; 12: LOCEAN, IRD, CNRS, MNHN, Sorbonne Univ., Bondy, France; 13: RECOVER, INRAE, Aix-Marseille Univ., Aix-en-Provence, France; 14: AMURE, IFREMER, CNRS, IRD, Univ. Bretagne Occidentale, Plouzané, France

Multi-scale mapping of charismatic megaflora: leveraging long-term site and regional level spatial data to inform satellite-based remote sensing of kelp forests in British Columbia, Canada

Luba Y. Reshitnyk¹, Ashland Aguilar², Tom W. Bell², Margot Hessing-Lewis¹, Henry Houskeeper², Lauren Man³, Ondine Pontier¹

1: Hakai Institute, Canada; 2: Wood's Hole Oceanographic Institute; 3: University of Victoria

Spatiotemporal Evaluation and Hyperspectral Modelling of Microphytobenthos Gross Primary Productivity in France Estuarine Environments

Hajar Saad El Imanni¹, Augustin Debly¹, Regis Gallon², Julien Deloffre³, Adrien Jacotot⁴, Simon Oiry¹, Philippe Rosa¹, Patrick Launeau⁵, Vona Meleder¹

1: Nantes Université, Institut des Substances et Organismes de la Mer, ISOMer, UR 2160, F-44000 Nantes, France; 2: Conservatoire National des Arts et Métiers-INTECHMER, Laboratoire Universitaire des Sciences Appliquées de Cherbourg LUSAC, Unicaen, 51000 Cherbourg, France; 3: Université de Rouen, M2C, UMR 6143, CNRS, Morphodynamique Continentale et Côtière, F-76821 Mont Saint Aignan Cedex, France; 4: UMR7327 Institut des sciences de la Terre d'Orléans (ISTO) ,Orleans, France; 5: Université de Nantes, Laboratoire de Planétologie et Géodynamique (UMR 6112, CNRS), Faculté des Sciences et des Techniques, BP 92208, 44322 Nantes CEDEX 3, France

Effect of Marine and Atmospheric Heatwaves on Reflectance and Pigment Composition of Intertidal Nanozostera noltei

Simon Oiry¹, Bede Ffinian Rowe Davies¹, Philippe Rosa¹, Augustin Debly¹, Maria Laura Zoffoli², Anne-Laure Barillé³, Nicolas Harin³, Pierre Gernez¹, Laurent Barillé¹

1: Institut des Substances et Organismes de la Mer, ISOMer, Nantes Université, UR 2160, F-44000 Nantes, France; 2: Consiglio Nazionale delle Ricerche, Istituto di Scienze Marine (CNR-ISMAR), 00133 Rome, Italy; 3: Bio-littoral, Immeuble Le Nevada, 2 Rue du Château de l’Eraudière, 44300 Nantes, France

Co-designing Earth Observation Solutions for Ecosystems Conservation

Jasper Van doninck¹, Marcos Kavlin², Andy Dean², Michael Munk³, Wietske Bijker¹, Louise Willemen¹

1: University of Twente, Faculty of Geo-Information Science and Earth Observation (ITC), Netherlands; 2: Hatfield Consultants, Canada; 3: DHI, Denmark

Monitoring forest ecosystem restoration with FERM and SEPAL geospatial tools

Yelena Finegold, Carmen Morales Martin, Pooja Pandey, Hasan Awad

FAO, Italy

Mapping individual tree mortality using sub-meter Earth observation data: Advances toward a large-scale global database

Samuli Junttila¹, Anis Ur Rahman¹, Einari Heinaro¹, Antti Polvivaara¹, Mete Ahishali¹, Minna Blomqvist¹, Tuomas Yrttimaa¹, Nataliia Rehush², Markus Holopainen³, Eija Honkavaara⁴, Juha Hyyppä⁴, Ville Laukkanen⁵, Mikko Vastaranta¹, Heli Peltola¹, Clemens Mosig^7,8, Teja Kattenborn⁹, Kristjan Ait⁶, Miroslav Svoboda¹⁰, Yan Cheng¹¹, Stephanie Horion¹¹

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

Reclaiming the Forest: Indigenous-Led Reforestation and Carbon Monitoring in the Ecuadorian Amazon

Mario Vargas Shakaim^1,2, Diana Mastracci^1,2

1: Geo Indigenous Alliance; 2: Space4Innovation

RestorEO – Towards an EO-based monitoring system for biodiversity and ecosystem restoration in Austria

Janik Deutscher¹, Manuela Hirschmugl^1,2, Petra Miletich¹, Florian Lippl², Martin Puhm¹

1: Joanneum Research, Austria; 2: University Graz, Austria

Linkages Between Condition Indicators and the Flood Control Ecosystem Service in the Urban Ecosystem

Mayra Alejandra Zurbaran Nucci¹, Sara Vallecillo²

1: European Commission, DG JRC, Italy; 2: Unisystems Luxembourg Sarl, Luxembourg

A multisource adaptive strategy for the characterization and monitoring of ecological corridors by remote sensing.

Virginie Lafon, Rémi Budin, Benoit Beguet, Clemence Rozo, Nicolas Débonnaire, Nicolas Durou

i-Sea, France

Spatiotemporal patterns of Amazonian canopy mortality revealed by remote sensing time series

Kristian Bodolai¹, Anastasia Kozhevnikova², Stephanie Earp¹, Pablo Sánchez-Martínez², Patrick Meir², Edward Mitchard¹

1: Space Intelligence; 2: School of Geosciences, University of Edinburgh

Rethinking the role of Earth Observation in assessing nature-related economic and financial risks

Alessandra La Notte

International Consultant on Natural Capital Accounting, Italy

Asset location data is the key to unlock and scale EO insights for biodiversity finance

Christophe Christiaen, Stephanie Walton

University of Oxford, United Kingdom

A framework for Monitoring, reporting and Verification of Biodiversity and Ecosystem Services (MRV-BES)

Ruben Valbuena

Swedish University of Agricultural Sciences, Sweden

Global exposure of species, protected areas, countries and ecoregions to oil palm plantations

Marine Robuchon⁴, Diego Juffe-Bignoli¹, Zoltan Szantoi², Andrea Mandrici³, Giacomo Delli³, Luca Battistella⁴, Grégoire Dubois⁴

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

A satellite-supported service to monitor the habitat suitability of agricultural land and to evaluate the impact of agri-environmental policies on farmland birds

Nastasja Scholz¹, Annett Frick¹, Ursula Ploetz¹, Levin Wiedenroth², Damaris Zurell², Nika Oman Kadunc³, Nejc Vesel³, Ine Rosier⁴, Rik Hendrix⁴, Ruth Sonnenschein⁵, Bartolomeo Ventura⁵, Tomas Orlickas⁶, Martynas Rimgaila⁶, Mindaugas Busila⁷

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

Fast-forward private sector investment into conservation through outcome-based finance mechanisms

Benjamin Leutner, Maryn van der Laarse, Sonja Stuchtey

The Landbanking Group, Germany

Assessing Financial Systemic Risk through Biodiversity Loss: A Multi-Disciplinary Analysis Using Earth Observation Data

Helena Naffa¹, Balázs Kotró¹, Gergely János Czupy¹, Márton Kiss²

1: Corvinus University of Budapest, Hungary; 2: University of Szeged, Hungary

From Copernicus services to biodiversity monitoring

Michel, F. Massart¹, Andreas Brink¹, Usue Donezar², Jose Miguel Rubio Iglesias², Pierre-Yves Le Traon³, Laurence Rouil⁴, Carlo Buontempo⁴

1: European Commission, Belgium; 2: European Environment Agency; 3: Mercator Ocean International; 4: ECMWF