Conference Agenda

Integrating Multi-Sensor Earth Observation Data for Coastal Change Indicators and Sea-Level Rise Scenarios: A Case Study from Northern Egypt

Mohamed Abdelfattah^1,2,3, Marie-Hélène Rio¹, Zoltan Szantoi¹, Giuseppe Ottavianelli¹, Mariam Hassan Sheta⁴

1: Science, Applications & Climate Department, European Space Agency (ESA-ESRIN), Frascati, Italy; 2: African Research Fellow; 3: Geology department, Faculty of Science, Port Said University, 42522 Port Said, Egypt; 4: Environmental Sciences Department, Faculty of Science, Port Said University, Port Said 42522, Egypt

AgriGuard: A Regional EO-Based Platform for Agriculture and Hazard Monitoring in Support of Policy and Early-Warning Applications

Abdullah Barhy, Almutaz Mohammed, Livia Peiser

Food and Agriculture Organization of the United Nations (FAO), Italy

Hydro-Climatic Drivers of SAR Backscatter in Vineyards to Support Agricultural Statistics

Andrea Bergamaschi¹, Ashmitha Nihar², Abhinav Verma², Anna Verlanti³, Avik Bhattacharya², Fabio Dell'Acqua¹, Ferdinando Nunziata⁴

1: Department of Electrical, Computer, Biomedical Engineering, University of Pavia, Pavia, Italy; 2: Microwave Remote Sensing Lab (MRSLab), Centre of Studies in Resources Engineering, Indian Institute of Technology Bombay, Mumbai, India; 3: Department of Engineering, University of Naples Parthenope, Naples, Italy; 4: Department of Information Engineering, Electronics and Telecommunications, Sapienza University of Rome, Rome, Italy

EO-assisted estimation enhances the precision of National Forest Inventory indicators, also in a data-poor context

Annabel Burg^1,2,3, Sytze de Bruin¹, Johannes Reiche¹, Gert-Jan Nabuurs^2,3

1: Laboratory of Geo-Information Science and Remote Sensing, Wageningen University & Research, the Netherlands; 2: Sustainable Forest Ecosystems, Wageningen Environmental Research, the Netherlands; 3: Forest Ecology and Forest Management Group, Wageningen University & Research, the Netherlands

AI-Powered Web-GIS Platform for EO-Based Transport Infrastructure Monitoring and Risk Management

Giada Possemato⁴, Paolo Caporossi¹, Giovanni Quacquarelli¹, Lorenzo Lipparini², Francesco Menniti³, Gerardo Ferraioli¹

1: TITAN4 S.r.l., Via dell’Arte 19, 00144 Rome, Italy; 2: Department of Earth Science, University of Roma Tre, Via Ostiense, 133, 00154 Rome, Italy; 3: Istituto Superiore per la Protezione e la Ricerca Ambientale (ISPRA), Via Vitaliano Brancati, 48, 00144 Rome, Italy; 4: • University of Rome Sapienza, P.le Aldo Moro, 00185 Roma & TITAN4, Via dell'Arte 19, 00144 Roma

Enhancing Earth Observation to Track Progress Towards the Global Goal on Adaptation

Sarah Connors¹, Rochelle Schneider¹, Johanna Nalau², Michelle Hawkins³, et al⁴

1: ESA, United Kingdom; 2: Australian Centre for Human Evolution, Griffith University, Brisbane, QLD, Australia; 3: National Aeronautics and Space Administration, Washington, D.C., USA; 4: various

Biodiversity Carbon Farming Index (BCFI) - EO-driven Monitoring, Reporting, and Verification (MRV) for Supporting Policy and GHG Inventories

Bernadett Csonka¹, Emma Seneschal¹, Dr. Gerhard Triebnig¹, Madhavan Srijit S¹, Elias Wanko¹, Martin Gruböck², Anne Gruböck¹

1: EOX IT Services, Austria; 2: PRO-NATURE Nature Conservation, Austria

Natural Capital Solutions Platform: Scaling EO-Driven Ecosystem Metrics

Anne Gruböck¹, Emma Seneschal¹, Dr. Gerhard Triebnig¹, Martin Gruböck², Stefan Brand¹, Srijit Madhavan¹, Elias Wanko¹, Anita Miskovic¹, Bernadett Csonka¹

1: EOX IT Services, Austria; 2: PRO-NATURE Nature Conservation NGO, Austria

Improving forest monitoring and management with fine-scale maps of forest parameters at the EU and global scale

Wanda De Keersmaecker¹, Astrid Verhegghen¹, Myroslava Lesiv², Daniele Zanaga¹, Cornelius Senf³, Alba Viana-Soto³, Luc Bertels¹, Steffen Fritz², Johanna Klapper⁴, Lukas Blickensdörfer⁵, Leen Govaere⁶, Bas Lerink⁷, Anja Leyman⁶, Mart-Jan Schelhaas⁷, Sander Teeuwen⁸, Dmitry Schepaschenko², Pieter Johannes Verkerk⁴, Ruben Van De Kerchove¹

1: Flemish Institute for Technological Research; 2: International Institute for Applied Systems Analysis; 3: Technical University of Munich; 4: European Forest Institute; 5: Johann Heinrich von Thünen-Institut; 6: Agency for Nature and Forests; 7: Wageningen Environmental Research; 8: Stichting Probos

Fusing LEO and GEO observations for agricultural monitoring

Riccardo D'Ercole¹, David Seu², Chiara Maria Cocchiara¹

1: Φ-lab, European Space Agency (ESA), ESRIN, Via Galileo Galilei, Frascati, Italy; 2: Co2 Angels, Cluj-Napoca, Romani

Enabling Agentic capabilities in Earth Observation using EVE – applications in the EO Dashboard and drought monitoring

Riccardo D'Ercole¹, Kaushik Pillalamarri², Eva Gmelich Meijling¹, Anca Anghelea³, Chiara Maria Cocchiara³

1: European Space Agency, Φ-Lab, Frascati, Italy; 2: North Carolina State University; 3: European Space Agency, Frascati, Italy

An ensemble-based approach for continuous monitoring and attribution of vegetation loss agents at regional to national scale using Landsat imagery

Vangelis Fotakidis, Giorgos Mallinis

Aristotle University of Thessaloniki, Greece

Leveraging citizen science, Earth Observation, and AI for plastic litter to inform official statistics, SDG reporting, and policy development

Dilek Fraisl¹, Konstantinos Topouzelis², Omar Seidu³, Linda See¹, Maryam Rabiee⁴

1: International Institute for Applied Systems Analysis (IIASA); 2: SciDrones; 3: Ghana Statistical Service (GSS); 4: Sustainable Development Solutions Network (SDSN)

Building Data from High-Resolution Images

Cristina Gabriel, Francisco Caldeira

Statistics Portugal, Portugal

Monitoring Forest Condition and Disturbance with Sentinel-1 SAR: Indicators for Environmental Reporting

Omid Ghorbanzadeh¹, Khalil Gholamnia², Thomas Blaschke¹

1: Department of Geoinformatics—Z_GIS, University of Salzburg, 5020, Salzburg, Austria; 2: Department of Applied Geoinformatics and Cartography, Charles University, Albertov 6, 128 43, Prague 2, Czech Republic

EO-based Grassland Production Index for estimating drought related yield losses: development in mountain environment and current challenges

Giulia Graldi¹, Gaia Vallarino¹, Abhishek Singh¹, Michele Claus¹, Abraham Mejia Aguilar², Alice Crespi³, Mariapina Castelli¹

1: Eurac Research, Institute of Earth Observation, Bolzano, Italy; 2: Eurac Research, terraxcube, Bolzano, Italy; 3: Eurac Research, Center for Climate Change and Transformation, Bolzano, Italy

terrAIntel: Enabling Thematic Earth Observation Data Exploitation through Natural Language Interfaces and Cloud-Native Workflows

Donvan Grobler¹, Markus Tretzmüller², David Hinterndorfer²

1: GeoVille, Austria; 2: cortecs, Austria

Evaluating Deep Learning based Building Damage Assessment Methods in earthquake-affected, densely built-up urban areas: The case of Kahramanmaraş

Julian Kath

OECD, Paris

EO and Spatial Modeling for Urban Climate Risk Assessment in Eight African Cities

Anna Lisa Labaar³, Camilla Foggia², Luca Malatesta², Enrico Mazzoli¹, Fabio Attorre², Marcella Veneziani³

1: FAO; 2: Sapienza Università di Roma; 3: S[&]T Italy

Mapping Urban Trees from Space to support EU Green policies and SDGs

Alice Lhernould, Eve Poitevin, Loïc Faucqueur, Hugues Bellevier-Royal

CLS, France

From public geodata to a multi-dimensional 3d cadastre - a legal-environmental Digital City Twin Concept for Krakow

Hubert Aleksander Malyszek, Aleksandra Podzorska

University of Agriculture in Krakow, Poland

Earth Observation for Statistics (EO4S) in EUROSTAT

Carla Martins¹, Hannes Reuter¹, Zacharias Kandylakis²

1: European Commission DG EUROSTAT, Luxembourg; 2: Sword Group

How Earth Observation facilitates the extensive monitoring of woody landscape features and their ecosystem functions

Verena Huber-Garcia¹, Sarah Schönbrodt-Stitt², Sophie Reinermann¹, Sarah Asam¹, Susanne Karg³, Michael Stellmach³, Kristel Kerler³, Jonas Meier¹, Ursula Gessner¹

1: German Aerospace Center (DLR), Germany; 2: Julius-Maximilians-Universität Würzburg, Germany; 3: Bayerisches Landesamt für Umwelt (LfU), Germany

A predictive model of GDP composition by sector

Bachir Belaid, Daniel Moran

NILU, Norway

High-resolution global land cover maps for national-scale area change estimation and reporting: case study for Uganda

Olga Nepomshina¹, Nandika Tsendbazar², Daniela Requena Suarez¹, Martin Herold¹

1: GFZ Helmholtz Centre for Geosciences, Germany; 2: Wageningen University & Research

High-resolution global land cover maps for national-scale area change estimation and reporting: case study for Uganda

Olga Nepomshina¹, Nandika Tsendbazar², Daniela Requena Suarez¹, Martin Herold¹

1: GFZ Helmholtz Centre for Geosciences, Germany; 2: Wageningen University & Research

A Comprehensive Framework for Scalable and Cost-Effective Crop Monitoring: Leveraging Parcel Segmentation and Satellite Image Time-Series.

Ian Nunes¹, Mateus Pinto^1,2, Jefersson Santos^1,3, Hugo Oliveira^1,2

1: Brazilian Institute of Geography and Statistics, Brazil; 2: Federal University of Viçosa, Brazil; 3: University of Sheffield, UK

SITS-ORDER: Discriminative Error Retrieval for Robust Crop Classification in the US and Brazil

Ian Nunes¹, Mateus Pinto^1,2, Jefersson Santos^1,3, Hugo Oliveira^1,2

1: Brazilian Institute of Geography and Statistics, Brazil; 2: Federal University of Viçosa, Brazil; 3: University of Sheffield, UK

Can remote sensing support biodiversity certification ?

Julien Radoux, Lisa Delvaux, Pierre Defourny

Université catholique de Louvain, Belgium

Assessing Urban Expansion using Copernicus Data Space Ecosystem Data & APIs

William Ray

Sinergise Solutions GmbH, Austria

Operational reporting of SDG 14.1.1 indicator in Portugal and Cape Verde based on CMEMS data

Pedro Ribeiro, Constantinos Lordos, Nuno Grosso

Indra Space, Portugal

Scalable ecosystem indicators on the Baltic GTIF Dashboard

Emma Seneschal¹, Gerhard Triebnig¹, Anne Gruboeck¹, Daniel Santillan¹, Tyna Dolezalova¹, Lubo Dolezal¹, Sylvester Pari¹, Joachim Ungar¹, Edvinas Aglinskas², Bernadett Csonka¹

1: EOX IT Services GmbH, Austria; 2: National Paying Agency Luthiania (NPA)

SDG 15.4.2 Mountain Green Cover-indicator for Finland

Markus Törmä, Pekka Hurskainen

Finnish Environment Institute, Finland

Operational Earth Observation for Wildfire Damage Assessment in Olive Groves: An Integrated Court–Agency Case Study from the Mediterranean Region

Tahsin Unal

Ministry of Agriculture and Forestry, Aliağa District Directorate, Turkiye

Development of past and present annual winter wheat yield statistics at the level of administrative districts (“raions”) in South European Russia based on statistical modelling and large scale EO data

Sergey Venevsky^1,2, Valerii Kulygin¹, Liudmila Dashkevich¹, Sergey Berdnikov¹, Alexey Kleshchenkov¹, Samir Misirov¹, Anna Parfenova¹, Igor Sheverdyaev¹, Vera Sorokina¹

1: FSBIS Federal Research Centre The Southern Scientific Centre of The Russian Academy of Sciences, Russia; 2: Tsnghua University

Optimizing Crowdsourced Training Samples for Large-Scale Crop Mapping

Qingying Wu¹, Qiangyi Yu¹, Hendrik Boogaard², Arun Pratihast²

1: The Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing, China; 2: Wageningen Environmental Research, Wageningen University and Research, Wageningen, The Netherlands

Developing Policy-Relevant Mangrove Statistics from EO: Results from the GDA Marine Activity in Cambodia, Ecuador and Guinea-Bissau

Antonello Aiello, Giulio Ceriola

Planetek Italia

Leveraging Remote Sensing for Enhanced Irrigation Performance Assessments in Data-Limited and Water-Scarce Regions Northern Jordan Valley as a Case Study

Nafn Amdar, Karthikeyan Matheswaran, Petra Schmitter, Youssef Brouziyne

IWMI, Jordan, Hashemite Kingdom of

A Deep Learning Framework for Land Use Land Cover Change Forecasting in the Brazilian Amazon

Tiana Assis^1,2, Riccardo D'Ercole¹, Alessandro Caiani², Gabriel Da Rocha Bragion¹

1: Φ-lab ESA/ESRIN, Italy; 2: IUSS Pavia

Earth Observation and irrigation water accounting from the field to the regional scale: operational support to sustainable management of irrigation water resources.

Oscar Rosario Belfiore¹, Guido D'Urso¹, Carlo De Michele², Salvatore Falanga Bolognesi²

1: University of Naples Federico II, Italy; 2: Ariespace srl, Spin off company University of Naples Federico II

The Use of Satellite Technologies in Mapping Flood Extent and Analysis of Its Impact on the Availability of Ambulances in Flood Areas

Adrian Bobowski¹, Jakub Niedźwiedź², Szymon Skrzypczyk¹, Michał Lupa¹

1: AGH University, Faculty of Space Technologies; 2: AGH University, Faculty of Geology, Geophysics and Environmental Protection

Assessing the Potential of Satellite Data to Improve Agricultural Statistics in Spain

Sophie Bontemps¹, Boris Noorgard¹, Pierre Houdmont¹, Sergio Mancheño Losa², Miguel Ángel Álvarez Sánchez², Pierre Defourny¹

1: UCLouvain, Belgium; 2: Ministry of Agriculture, Fisheries and Food, Spain

An EO and Economic Data Framework for Estimating the Magnitude and Spatial Distribution of Informal Trade (Bazaar) in Central Asia

Vito De Pasquale, Guilio Ceriola, Daniela Drimaco

Planetek Italia

Large-scale detection of land-use transitions using multi-temporal satellite data and deep learning

Alemu Bezie Debay, Nandika Tsendbazar, Robert Masolele, Erika N Speelman

Wageningen University and Research, Netherlands, The

Integrating Earth Observation and Survey Data for Bias-Corrected Crop Area Estimation: An Operational Framework Using Sentinel and LUCAS Data

Hrishikesh Dutta

TERMA, EUMETSAT, Germany

Flood risk and security prices

Szilard Erhart

JRC, Italy

Integrating Pollutant registers for the climate change risk evaluation of industrial companies in Australia, Europe and North America

Szilard Erhart

JRC, Italy

Wildforest Urban Interface and Earth Observation role on policy implementation

Arnau Ferrandiz, jordi Corbera, Elena Esplandiu, Anna Tardà

Institute Cartographic and Geological of Catalonia, Spain

Geospatial Tools for Green Finance: Supporting Sustainable Project Selection and Impact Measurements

Federico Franciamore, Liv Toonen, Victor Del Val, Ramadhan -

Space4Good, Netherlands, The

Urban Area Mapping and Assessment Using Earth Observation and AI: Methods and a Case Study from Arequipa, Peru

Tomasz Furtak¹, Mirosława Czerny², Marcin Kluczek¹

1: CloudFerro S.A., Poland; 2: University of Warsaw, Poland

Monitoring of SDG 6 indicators in Portugal and Denmark with EO-based algorithms

Walid Ghariani¹, Rado Guzinski¹, Pedro Ribeiro², Alkiviadis Koukos¹, Nuno Grosso², Catarina Duarte³, Miguel Miranda³, André Valente³, Mafalda Carapuço³

1: DHI, Denmark; 2: Indra Space, Portugal; 3: AIR Centre, Portugal

From Spectral Signals to Harmonized Statistics: Upscaling Sentinel-2 Yield Stability for Regional Reporting

Andrej Halabuk, Svetlana Košánová, Pavol Kenderessy, Tomáš Rusňák

Institute of Landscape Ecology, Slovak Academy of Sciences, Slovak Republic

Training Sample Migration for Temporal Cropland Mapping in Central Asia

Aiman Batkalova, Pengyu Hao, Zhongxin Chen, Karl Morteo

Food and Agriculture Organization of the United Nations, Italy

EO-based detection of disturbance in grasslands and small landscape elements to support environmental policy enforcement

Ann Julie Holt¹, Lisa Landuyt¹, Jan Biesemans¹, Sven Vrielynck², Sarah Roggeman², Jo Van Valckenborgh³

1: VITO, Unit Environmental Intelligence, Group Remote Sensing; 2: ANB (Agency of Nature and Forest), Group Nature inspection; 3: DV (Agency Digital Flanders), Group Earth Observation Data Science

The tolerance of spatial statistics for methodological or conceptual ambiguities– exemplified by the degree of urbanization in Germany

Anica Huck¹, Hannes Taubenböck^2,3, Ariane Droin³, Fabian Dosch⁴, Antonia Milbert⁴, Sebastian Klüsener⁵, Tamilwai Kolow⁵, Pascal Schichor¹, Jens Danzeglocke⁶, Michael Wurm², Ines Standfuss², Matthias Weigand², Nikola Sander⁵

1: European Space Imaging, Germany; 2: German Aerospace Center (DLR), Earth Observation Center (EOC), 82234 Oberpfaffenhofen, Germany; 3: Institute for Geography and Geology, Julius-Maximilians-Universitat ¨ Würzburg, 97074 Würzburg, Germany; 4: Federal Institute for Research on Building, Urban Affairs and Spatial Development (BBSR), 53179 Bonn, Germany; 5: Federal Institute for Population Research (BIB), 65185 Wiesbaden, Germany; 6: German Aerospace Center (DLR), Space Agency, Earth Observation, 53227 Bonn, Germany

GeoBioRemediation: EO for EU Soil Monitoring Compliance

Chandra Prakash Jha, Silvia Gambi

Antarix Space srl, Italy

The in situ data bottleneck in Earth observation for agriculture: challenges, barriers, and a path forward

Jean Bouchat¹, Jasmin Jilma¹, Espen Volden¹, Pierre Bouchat^2,3

1: European Space Agency (ESA), Frascati, Italy; 2: PErSEUs, University of Lorraine, Metz, France; 3: Psychological Sciences Research Institute, UCLouvain, Louvain-la-Neuve, Belgium

Democratising Deforestation Intelligence for Sovereign Finance: A Replicable EO Framework for Sustainability-Linked Bonds in Uganda

Georg Kodl¹, Nicola Ranger², Andy Shaw¹, Gerardo Lopez Saldana¹

1: Assimila, United Kingdom; 2: University of Oxford, United Kingdom

Monitoring Inland Water Quality in Poland Using Python and Sentinel-2 Satellite Imagery

Klaudia Kościuk, Łukasz Firek, Bartosz Skóra, Piotr Krajewski

AGH University of Krakow, Poland

Enhancing Macroeconomic Statistics with Sentinel-1: Monitoring Automotive Production in Germany for Timely Economic Indicators

Franziska Kraft¹, Sandro Martinis¹, Simon Plank¹, José Manuel Delgado Blasco²

1: German Aerospace Center (DLR), German Remote Sensing Data Center (DFD), Oberpfaffenhofen, Germany; 2: European Space Agency (ESA), Φ-lab, Earth Observation Climate Action, Sustainability and Science Department (EOP-S), Frascati, Italy

Reducing Cross-Policy Reporting Burden Through Earth Observation Integration: an example of peatlands and carbon monitoring

Christelle VANCUTSEM, Meriam Lahsaini, Miguel VALLEJO ORTI, Mark DOWELL

EC-JRC, Italy

From EO Outputs to Policy Decisions: Applying an Impact Framework to Official Statistics Reporting

Ryan John McCall Laird

Green Orbit Space Communications and PR, United Kingdom

From Aerial Imagery to Official Statistics: Integrating Registry Data in Operational Deep Learning for Fine-Grained Built-Up Area Mapping in the Netherlands

Athithya Seethalakshmi Loganathan^1,2, Saim Muhammad¹, Sander Oude Elberink²

1: Statistics Netherlands (CBS); 2: University of Twente

Assessing Post-Fire Land Cover Evolution in Pisani Mountains: A Random Forest Approach with Bootstrapped NDVI Trend Analysis using Sentinel-2.

Alessandro Mercatini, Emiliano Agrillo, Alice Pezzarossa, Nazario Tartaglione

Italian Institute fo Environmental Protection and Research, Italy

When does very high resolution matter? A stratified evaluation of cocoa maps across canopy closure and landscape fragmentation in Côte d’Ivoire

Kasimir Alexander Orlowski^1,2, Michele Meroni¹, Filip Szabo¹, Felix Rembold¹

1: ITC (University of Twente); 2: Joint Research Centre, Italy

Scaling Biodiversity Estimation from Sparse Data using Aerial Imagery and Semi-Supervised Learning

Ivana Pallister, Marko Roos, Joep Burger, Patrick Bogaart, Shaya Houdt. van

Statistics Netherlands

An Universal and Index-Agnostic Bitemporal Indicator for Unsupervised Environmental Change Detection from Multispectral Satellite Data

Giovanni Piccolo^1,2, Cinzia Sada¹

1: Università Degli Studi di Padova, Italy; 2: Engineering Ingegneria Informatica S.p.A

Tackling the challenge of monitoring SDG indicators for fisheries in SIDS

Pedro Ribeiro¹, Constantinos Lordos¹, Catarina Duarte², Miguel Miranda², André Valente², Mafalda Carapuço², Nuno Grosso¹

1: Indra Space, Portugal; 2: AIR Centre, Portugal

Mapping rice data to support irrigation performance assessment in the Chokwe irrigation scheme, Mozambique

Filippo Sarvia¹, Alyne Spencer^1,2, Jose Bofana^1,3, Virginie Gillet¹, Livia Peiser¹

1: Food and Agriculture Organization of the United Nations, 00153 Rome, Italy; 2: School of Information Management and Data Science, NOVA University of Lisbon, 1070-312 Lisbon; 3: Faculdade de Ciências Agronómicas, Universidade Católica de Moçambique (UCM FCA), Cuamba 3305, Niassa, Mozambique

A Sample-Based, Multi-Sensor Assessment of Land-Use and Land-Cover Change in Cameroon Using Collect Earth Online

Destin Loge Lokegna¹, Eloïse Guidi², Crystal Wespestad³, Lucas Bembong⁴, Robert Pismo⁵, Maxime Ngemandji Moussa⁵, Christophe Bring⁵, Joseph Armathe Amougou⁴, Timothée Kagonbe⁵, Rene Siwe Ngamabou¹, Carine Bourgeois¹

1: US Forest Service International Program and Trade; 2: Coalition for Rainforest; 3: Spatial Informatics Group; 4: Observatoire national des changements climatiques; 5: Ministry of the Environment, Protection of Nature and Sustainable Development

Open-Pit Mining Detection & Monitoring

Zuzanna Słobodzian, Bartosz Ptaszek, Kamil Mołodecki, Kacper Krempa

AGH University of Krakow, Poland

Enhancing the Finnish construction project start statistics utilizing EO data

Markus Törmä¹, Riitta Piela², Janne Mäyrä¹, Jonas Lindblad², Ville Helminen¹, Oula Inkeroinen², Matti Kokkonen²

1: Finnish Environment Institute; 2: Statistics Finland

Mapping Air Pollution Inequality Using Sentinel-5P: Integrating EO and Socio-Economic Data to Support Policy Action

Shaya van Houdt, Athithya Loganathan, Chris Lam, Marko Roos

Statistics Netherlands, Netherlands, The

Prediction of grassland yield in Austria: A machine learning approach based on satellite, weather, and extensive in situ data

Andreas Klingler¹, Aleksandar Dujakovic², Francesco Vuolo², Andreas Schaumberger¹

1: Institute of Plant Production and Cultural Landscape, Agricultural Research and Education Centre Raumberg-Gumpenstein, Raumberg 38, Irdning‑Donnersbachtal 8952, Austria; 2: BOKU University, Austria

A Standards-Driven Maturity Framework for Ensuring Data Credibility and Scientific Validity for Regulatory Environmental Evidence

Leon Robin Wiesner¹, Vanessa-Sarah Salvo², Francesca Piatto¹

1: EARSC; 2: Institut de Ciències del Mar (ICM-CSIC)