Conference Agenda

Rice and wheat yield modeling in the Nile Delta using Sentinel-1 + Sentinel-2 data fusion

Javier Tarín-Mestre¹, Belen Franch^1,2, Italo Moletto-Lobos¹, Katarzyna Cyran¹, Cesar Guerrero¹, Lucio Mascolo¹, Ahmed El Baroudy³, Zoltan Szantoi⁴

1: Universitat de València, Spain; 2: Department of Geographical Sciences, University of Maryland; 3: Faculty of Agriculture, University of Tanta; 4: Climate, Science and Applications, European Space Agency

Combining Sentinel-1 and 2 data with machine learning to improve field-scale crop yield forecasting

Piet Emanuel Bueechi¹, Wouter Dorigo¹, Felix Reuß¹, Lucie Homolová², Miroslav Pikl², Lenka Bartošová², Charis Chatzikyriakou³

1: Department of Geodesy and Geoinformation, TU Wien, Austria; 2: Global Change Research Institue CAS (CzechGlobe), Czech Republic; 3: Earth Observation Data Centre for Water Resources Monitoring, Austria

Estimation of wheat yield at field scale using Sentinel-1 and Sentinel-2

Belen Franch^1,2, Lucio Mascolo¹, Italo Moletto-Lobos¹, Javier Tarin-Mestre¹, Bertran Mollà-Bononad¹, Eric Vermote³, Natacha Kalecinski², Inbal Becker-Reshef², Alberto San Bautista⁴, Constanza Rubio⁵, Marcos Caballero⁶, Sara San Francisco⁶, Miguel Angel Naranjo⁶, Vanessa Paredes⁷, David Nafria⁷

1: Global Change Unit, Image Processing Laboratory (UCG-IPL). Parque Cientifico, Universitat de Valencia, Spain; 2: Department of Geographical Sciences, University of Maryland, College Park MD 20742, United States; 3: NASA Goddard Space Flight Center Code 619, 8800 Greenbelt Road, Greenbelt, MD 20771, USA; 4: Departamento de Producción Vegetal, Universitat Politécnica de València (Valencia), 46022, Spain; 5: Centro de Tecnologías Físicas, Universitat Politécnica de València (Valencia), 46022, Spain; 6: Fertinagro Biotech, Teruel 44002, Spain; 7: Instituto Tecnológico Agrario de Castilla y León (ITACyL), Subdirección de Infraestructuras Agrarias, Área de Desarrollo Tecnológico, Finca Zamadueñas, Ctra. Burgos Km. 119, Valladolid, 47071, Spain

Combining Earth Observations with digital tools and field assessments to form integrated agricultural monitoring systems at scale

Jonathan Pound¹, Mario Zappacosta¹, Christina Justice², Blake Munshell², Ritvik Sahajpal²

1: FAO, Italy; 2: University of Maryland/NASA Harvest

Resilience under Extreme Circumstances – Harvest and Yield Estimation for Ukraine 2023

Solveig Blöcher, Miesgang Christian, Migdall Silke, Bach Heike, Mauser Wolfram

VISTA Geowissenschaftliche Fernerkundung GmbH, Germany

Predicting in-season crop yield within fields: A Sentinel-2 time series based monitoring approach

Eatidal Amin¹, Luca Pipia², Santiago Belda³, Gregor Perich⁴, Lukas Valentin Graf^4,5, Helge Aasen⁵, Shari Van Wittenberghe¹, José Moreno¹, Jochem Verrelst¹

1: University of Valencia, Spain; 2: Institut Cartogràfic i Geològic de Catalunya, Spain; 3: University of Alicante, Spain; 4: Institute of Agricultural Sciences, ETH Zürich, Switzerland; 5: Division Agroecology and Environment, Agroscope, Switzerland

Discussion

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European ECOSTRESS Hub for agricultural water stress monitoring: Implications for future high-resolution thermal missions

Tian Hu¹, Kaniska Mallick¹, Patrik Hitzelberger¹, Yoanne Didry¹, Zoltan Szantoi²

1: Luxembourg Institute of Science and Technology (LIST), Luxembourg; 2: ESRIN, European Space Agency, Italy

ESA tools for agriculture: Sen4Stat toolbox for Sentinel EO information supporting the agricultural statistics & Agriculture Virtual Laboratory (AVL) for agricultural science

Sophie Bontemps¹, Gunnar Brandt², Lidia Baciu³, Cosmin Cara³, Pierre Defourny¹, Norman Fomferra², Pontus Lurcock², Grega Milcinski⁴, Espen Volden⁵

1: Université catholique de Louvain (UCLouvain), Belgium; 2: Brockmann Consult GmbH, Germany; 3: CS GROUP - ROMANIA; 4: Sinergise Ltd; 5: ESA-ESRIN

Rapid Agricultural Assessments in Support of Policy and Food Security

Inbal Becker-Reshef^1,2,3,4, Mary Mitkish^1,2, Chris Justice^1,2,4, Josef Wager^1,3, Shabarinath Nair^1,3, Sheila Baber^1,2, Christina Justice^1,2,4, Hannah Kerner^1,5, Catherine Nakalembe^1,2, Michael Humber^1,2, Ritvik Sahajpal^1,2, Brian Barker^1,2,4, Sven Gilliams⁴

1: NASA Harvest; 2: University of Maryland; 3: University of Strasbourg; 4: GEOGLAM; 5: Arizona State University

WorldCereal: a dynamic open-source system for global-scale, seasonal, and reproducible crop mapping

Kristof Van Tricht¹, Jeroen Degerickx¹, Christina Butsko¹, Jeroen Dries¹, Darius Couchard¹, Stefaan Lippens¹, Vincent Verelst¹, Hendrik Boogaard², Arun Pratihast², Belen Franch³, Italo Moletto³, Katarzyna Cyran³, Inbal Becker-Reshef⁴, Shabarinath Nair⁴, Juan-Carlos Laso Bayas⁵, Santosh Karanam⁵, Fernando Orduña-Cabrera⁵, Steffen Fritz⁵, Lubos Kucera⁶, Martin Babic⁶, Zoltan Szantoi⁷

1: VITO, Belgium; 2: Wageningen Environmental Research (WENR), Wageningen University & Research, the Netherlands; 3: Global Change Unit, Image Processing Laboratory, Universitat de Valencia, Spain; 4: University of Strasbourg, France; 5: International Institute for Applied Systems Analysis (IIASA), Austria; 6: Gisat, Czech Republic; 7: European Space Agency, France

Leveraging EO Data for Environmental, Government, and Business Applications for Agriculture: Introducing the EO4EU Platform

Roberto Carrillo¹, Vasileios Baousis², Claudio Pisa²

1: Trust-IT Services, Italy; 2: ECMWF, UK

Copernicus Data Space Ecosystem: Essential Provider of Satellite Data for Agricultural Monitoring (Remote Speaker)

Jędrzej Bojanowski

CloudFerro S.A., Warsaw, Poland

Discussion

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Monitoring and forecasting Irrigation Water Use by assimilating satellite land surface temperature and soil moisture into an energy-water balance model

Chiara Corbari¹, Nicola Paciolla¹, Diego Dos Santos Araujo¹, Kamal Labbassi², Justin Sheffield³, Sven Berendsen³, Zoltan Szantoi⁴

1: Politecnico di Milano, Italy; 2: Chouaib Doukkali University, Morocco; 3: 3University of Southampton, United Kingdom; 4: ESA ESRIN, Italy

Irrigation Mapping at national scale using Sentinel-2 Image time series: a use case in Spain.

Boris Norgaard, Sophie Bontemps, Pierre Defourny

UCLouvain, Belgium

Monitoring irrigation dynamics from space: achieved results and next steps forward

Jacopo Dari^1,2, Sara Modanesi², Christian Massari², Angelica Tarpanelli², Silvia Barbetta², Renato Morbidelli¹, Carla Saltalippi¹, Raphael Quast³, Mariette Vreugdenhil³, Vahid Freeman⁴, Pere Quintana-Seguí⁵, Anaïs Barella-Ortiz⁵, David Bretreger⁶, Espen Volden⁷, Clement Albergel⁸, Luca Brocca²

1: Dept. of Civil and Environmental Engineering, University of Perugia, Perugia, Italy; 2: Research Institute for Geo-Hydrological Protection, National Research Council, Perugia, Italy; 3: Department of Geodesy and Geoinformation, Research Unit Remote Sensing, TU Wien, Vienna, Austria; 4: Earth Intelligence, Spire Global, 2763 Luxembourg, Luxembourg; 5: Observatori de l’Ebre (OE), Ramon Llull University - CSIC, 43520 Roquetes, Spain; 6: School of Engineering, The University of Newcastle, Callaghan, New South Wales 2308, Australia; 7: European Space Agency, ESRIN, Frascati, Italy; 8: European Space Agency Climate Office, ECSAT, Harwell Campus, Didcot, UK

Multiresolution Analysis based Assessment of Agricultural Effects on Groundwater Levels

Michael Engel¹, Stefan Kunz², Maria Wetzel², Marco Körner¹

1: Technical University of Munich (TUM); 2: Bundesanstalt für Geowissenschaften und Rohstoffe

Water stress monitoring in Tensift Basin, Morocco

Corne Van der Sande¹, Abdur Rahim Safi¹, Annemarie Klaasse¹, Mohamed Aboufirass², Jihane Rmiza²

1: eLEAF, Netherlands, The; 2: RESING, Morocco

Drought Assessment in Drylands with Hyperspectral Vegetation Index-based Evapotranspiration Methods

Michael Thomas Marshall¹, Monica Pepe², Giulia Tagliabue³, Micol Rossini³, Cinzia Panigada³, Francesco Fava⁴, Sonja Leitner⁵, Vincent Odongo⁵, Chris Hecker¹, Agnieszka Soszynska⁶, Wim Timmermans¹, Clement Atzberger⁷, Micro Boschetti²

1: ITC/University of Twente, Netherlands, The; 2: CNR-IREA; 3: University of Milano-Bicocca; 4: University of Milano; 5: International Livestock Research Institute; 6: University of Leicester; 7: BOKU

Discussion

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AFRI4CAst - Supporting Food Security and Food Safety in Africa

Emmanuel Lekakis, Evangelos Oikonomopoulos

AgroApps SA, Greece

Data centric solutions to applied crop type classification at scale

Samuel Jonathan Barrett, Ana P S G D D Toro

Regrow Ag

EOCROP: Towards a digital twin of cropping systems based on ingestion of EO into process-based crop models

Jadu Dash¹, Lisa Emberson², Clive Blacker³, Roger Lawes⁴, Yan Zhao⁵, Tom Bishop⁶

1: University of Southampton, United Kingdom; 2: The University of York,United Kingdom; 3: Aganalyst Limited,United Kingdom; 4: CSIRO, Australia; 5: University of Queensland, Australia; 6: University of Sydney, Australia

Using a boundary guided multi-task model for agricultural parcel delineation from remote sensing images.

Hang zhao^1,2, Bingfang Wu^1,2, Miao Zhang^1,2, Mingxing Wang^1,3

1: State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China; 2: College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China; 3: College of Resources and Environment, Hubei University, Wuhan, 430062, China

Advancing agriculture: leveraging Earth Observation and Agro-Ecological Zoning (AEZ) modeling

Federica Chiozza¹, Filippo Sarvia¹, Dario Spiller¹, Rutendo Mukaratirwa¹, Sidra Shafiq¹, Shahla Asgharinia¹, Victor Munene¹, Kittiphon Boonma³, Swun Wunna Htet³, Sylvia Tramberend², Günther Fischer², Matieu Henry¹

1: Food and Agriculture Organization of the United Nations (FAO), Rome, Italy; 2: International Institute for Applied Systems Analysis (IIASA) Laxenburg, Austria; 3: Asian Institute of Technology (AIT), Bangkok, Thailand

Estimation of winter cereals yield exploiting remotely derived phenometrics from LAI time-series

Francesco Nutini, Federico Filipponi, Lorenzo Parigi, Mirco Boschetti

national research council, Italy

Machine learning-based detection of wheat lodging score using hyperspectral measurements

Mehmet Furkan Celik, Roshanak Darvishzadeh, Padmageetha Nagarajan, Andrew Nelson

Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, Enschede, The Netherlands

Satellite-based customer complaints management tool for the potato industry

Josef Pichler, Peter Santbergen, David Alexander Kolitzus

GEO4A, Netherlands, The

Assessment of drought impact on grasslands productivity in Wallonia using Sentinel-2 multiannual time series

Cozmin LUCAU - DANILA¹, Yannick CURNEL¹, Alban JAGO¹, Himdi HAMZA², Richard LAMBERT², Viviane PLANCHON¹

1: Walloon Agricultural Research Centre, Belgium; 2: Université Catholique de Louvain, Belgium

Harnessing Data-Driven Models for Agricultural Drought Monitoring through the integration of remote sensing, ground data and meteo-climatic variables: first results

Filippo Bocchino^1,3, Riccardo Contu¹, Lorenza Ranaldi¹, Antonio Denaro³, Laura Rosatelli³, Camillo Zaccarini³, Deodato Tapete⁴, Alessandro Ursi⁴, Maria Virelli⁴, Patrizia Sacco⁴, Valeria Belloni¹, Roberta Ravanelli¹, Mattia Crespi^1,2

1: Sapienza, University of Rome, Italy; 2: Sapienza School for Advanced Studies, Sapienza University of Rome, Italy; 3: Institute of Services for the Agricultural and Food Market (ISMEA) - Agricultural Risk Management Department; 4: Italian Space Agency (ASI), Italy

Subnational Statistics from Field-Level Yield Estimation and Forecast: Evaluation of Models Ingesting Sentinel-2 Data.

Pierre Loup Houdmont¹, Martin Claverie², Pierre Defourny¹

1: UCLouvain, Belgium; 2: JRC EU-Commission, ISPRA, Italy

Enhancing WorldCereal global wheat crop calendars: A Integration of remote sensing data with phenological modeling

Italo Giuliano Moletto-Lobos¹, Belen Franch^1,2, Andreu Guillem-Valls¹, Inbal Becker-Reshef², Shabarinath Nair², Kristof Van Tricht³, Jeroen Degerickx³, Christina Butsko³

1: University of Valencia, Spain; 2: Department of Geographical Sciences, University of Maryland, College Park, MD, USA; 3: Vlaamse Instelling Technologisch Onderzoek (VITO), Mol, Belgium

Upscaling and downscaling approaches for early season rice yield prediction using Sentinel-2 and machine learning for precision nitrogen fertilisation

Giorgio Impollonia, Michele Croci, Stefano Amaducci

Università Cattolica del Sacro Cuore, Italy

Irrigation monitoring from space: a novel method assimilating high-resolution Sentinel-1 soil moisture data into a crop water balance model and prospects for future research

Pierre Laluet¹, Wouter Dorigo¹, Luis Enrique Olivera-Guerra⁶, Víctor Altés^3,4, Giovanni Paolini³, Nadia Ouaadi^2,5, Vincent Rivalland², Lionel Jarlan², Josep Maria Villar⁴, Olivier Merlin²

1: Department of Geodesy and Geoinformation, TU Wien, Vienna, Austria; 2: Centre d’Etudes Spatiales de la Biosphère (CESBIO), Université de Toulouse, CNES-CNRS-IRD-UPS-INRAE, Toulouse, France; 3: isardSAT, Marie Curie 8-14, Parc Tecnològic Barcelona Activa, Barcelona, Spain; 4: Soils and Water Research group, Universitat de Lleida, Lleida, Spain; 5: GMME/SURFACE, Meteo-France/CNRM, Toulouse, France; 6: Laboratoire des Sciences du Climat et de l’Environnement, CEA-CNRS-UVSQ-UPSACLAY, UMR 8212, IPSL, Gif-sur-Yvette, France

Detecting land use change and defining agricultural land loss in recent years in the case of urbanisation: A case study of Northern Cyprus

can kara¹, nuhcan akcit²

1: Department of Architecture, Near East University, Nicosia, North Cyprus; 2: Department of Geodetic and Geographic Information Technology, Middle East Technical University, Ankara, Turkey

Development of rice and wheat crop masks over the Gharbia governorate in Egypt using Sen2like images.

César José Guerrero Benavent¹, Belen Franch Gras^1,2, Italo Moletto Lobos¹, Javier Tarín Mestre¹, Kate Cyran¹, Ahmed El Baroudi³

1: Global Change Unit, Parc Científic, University of València (Paterna), 4498, Spain; 2: Dept of Geographical Sciencies, Univesity of Maryland, College Park MD 20742, United States; 3: Faculty of Agriculture, University of Tanta, 31527 Tanta, Egypt

Applicability of spectral heterogeneity for measuring crop diversity in two agroforestry systems

Gina Maskell

Potsdam Institute for Climate Impact Research, Germany

Leveraging Earth Observation for estimating the Global Burden of Crop Loss

Anna Maria Szyniszewska¹, Bryony Taylor¹, Molly Brown², Nicola Pounder³, Salar Mahmood¹, Dan Bebber⁴, Gaby Oliver¹, Cambria Finegold¹

1: CABI, United Kingdom; 2: University of Maryland, USA; 3: Assimila, UK; 4: University of Exeter, UK

Salinity and water stress captured by satellite leaf area index and land surface temperature assimilated into a crop-energy-water balance model

Nicola Paciolla¹, Chiara Corbari¹, Davide Gabrieli², Greta Rossi¹, Pietro Teatini³, Ester Zancanaro³, Drazen Skokovic⁴, Josè Sobrino⁴, Francesco Morari²

1: Politecnico di Milano, Italy; 2: DAFNAE, Università di Padova, Italy; 3: ICEA, Università di Padova, Italy; 4: Universitat de Valencia, Spain

COMPASS – A decision support system for irrigation scheduling for wheat farmers from Northwest Mexico

Francelino Augusto Rodrigues Junior¹, Mohamed Jabloun², Ivan Ortiz-Monasterio³, Kevin Shannon⁴, Neil Crout⁵

1: Independent Consultant, Italy; 2: The James Hutton Institute, Craigie buckler, Aberdeen AB15 8QH, UK.; 3: International Maize and Wheat Improvement Centre (CIMMYT), El Batan, Mexico.; 4: Hexcuity Limited, Bee House 140 Eastern Avenue, Milton Park, Abingdon, Oxfordshire, England, OX14 4SB; 5: University of Nottingham, School of Biosciences, Sutton Bonington, LE12 5RD, UK.

Early-season crop yield prediction using high-resolution satellite data and crop models: from sub-field to regional level

Matteo G. Ziliani, Boonyarit Changaival, Kim Fischer, Rim Sleimi, Paulius Sarka, Albert Abelló, Florian Werner

HYDROSAT, Luxembourg

Innovative operational services and research activities combining earth observation data and AI in Norway

Jonathan Rizzi, Nicolai Munsterhjelm, Robert Barneveld, Arnt Kristian Gjertsen, Shivesh Karan, Thi Phuong Huyen Vu, Bjørn Tobias Borchsenius

NIBIO, Norway

Prediction of Species Richness and Diversity in Sub-alpine Grasslands Using Satellite Remote Sensing and Random Forest Machine Learning Algorithm

Katlego Mashiane, Abel Ramoelo, Samuel Adelabu

University of the Free State, South Africa

Sentinel-2 data fusion with GEOSAT 2 very high resolution data

César Fernández, Silvia Fraile, Carolina de Castro, Maria Elena Calleja, Rafael Sousa, Lucia García, Ruben Niño

GEOSAT Satellites, Spain

Assessing Water Use Efficiency in Agroecosystems Using High-Resolution Satellite Data: A Case Study of Olive Plantations

Jamal Elfarkh, Bouchra Ait Hsaine

Mohammed VI Polytechnic University, Morocco

Quantifying the impact of Sri Lanka's fertilizer ban on rice yields with Sentinels

Mutlu Ozdogan¹, Sherrie Wang², Devaki Gose³, Eduardo Fraga³, Ana Fernandes³, Gonzalo Verela³

1: University of Wisconsin-Madison, United States of America; 2: MIT, United States of America; 3: World Bank, United States of America

Enhancing Wheat Water Productivity and Area Yield Index Insurance through WaPOR database for Agro-Advisory Services in Ethiopia

Mulugeta Tadesse¹, Desalegn Tegegne¹, Muluken E. Adamseged¹, Dagmawi Melaku¹, Mussie Alemayehu², Mohammed Abdella¹

1: IWMI East Africa; 2: FAO Ethiopia

Forecasting the population development of within-season insect crop pests in sub-Saharan Africa: the Pest Risk Information Service

Charlotte Day¹, Taylor Bryony¹, Styles Jon², Mibei Henry¹, Beale Tim¹, Oronje MaryLucy¹, Shaw Andy², Mahony Josie², Lowry Alyssa¹

1: CABI, United Kingdom; 2: Assimila Ltd, United Kingdom

AI tools in Agri DSS pipeline - the case of irrigated sugarbeet

Carlos Ferraz

HEMAV Technology, S.L., Spain

AgroSuite – Innovative Earth Observation Solutions for Agricultural Insurance

Peter Navratil

GAF AG, Germany

Detecting Drought-induced Crop Failure in Winter Cereals using Sentinel-2

KAREN TORRES^1,2, ADRIA DESCALS^1,2, ALEIXANDRE VERGER^1,2,3, JOSEP PEÑUELAS^1,2

1: Centre de Recerca Ecològica i Aplicacions Forestals - UAB; 2: CSIC, Global Ecology Unit CREAF-CSIC-UAB; 3: CIDE, CSIC-UV-GV

Synergizing In-Situ Data Lifecycle through Collaborative Initiatives for Crop Mapping

Arun Kumar Pratihast¹, Hendrik Boogaard¹, Juan Carlos Laso Bayas², Santosh Karanam², Steffen Fritz², Kristof Van Tricht³, Jeroen Degerickx³

1: Wageningen Environmental Research (WENR), Wageningen University & Research, Wageningen, Netherlands; 2: International Institute for Applied Systems Analysis (IIASA), Laxenburg, Austria; 3: Vlaamse Instelling Technologisch Onderzoek (VITO), Mol, Belgium

Fight Xylella Fastidiosa (Fixyll): downstream services in support of Xylella containment actions

Pietro Sciusco

Planetek Italia s.r.l., Italy

Fusing Sentinel-3 and ECOSTRESS observations for a more accurate, high-resolution crop water stress indicator

Louis Snyders¹, Jeroen Degerickx¹, Jonathan Leon Tavares¹, Aolin Jia², Tian Hu², Kaniska Mallick², Veronika Otto³, Joris Blommaert¹

1: VITO, Belgium; 2: LIST, Luxemburg; 3: VISTA, Germany

Operational Machine Learning Models for Nation-level Yield Predictions

Inti Luna¹, Vasileios Sitokonstantinou¹, Maria Piles¹, Jordi Muñoz¹, Gustau Camps-Valls¹, Filip Sabo², Michele Meroni², Francesco Collivignarelli², Petar Vojnovic², Herve Kerdiles², Felix Rembold², Mario Zappacosta³, Jonathan Pound³

1: Image Processing Laboratory (IPL) - Universitat de València,46980 Paterna, València, Spain; 2: European Commission, Joint Research Centre, 21027 Ispra, Italy; 3: Food and Agriculture Organization of the United Nations

Developing an early indicator of drought from EO-derived crop Biophysical Variables: Insights from Cereal Crop Regions in Europe

Zaib un nisa, Booker Ogutu, Jadu Dash

University of Southampton, United Kingdom

Temporal characterization of crop phenology using satellite imagery and field surveys across the Bekaa Valley of Lebanon

Fadi Sami KARAM, Nadine Nassif, Abdul Halim Mouneimne, Carole El Hachem, Ingrid Saadeh

Department of Environmental Engineering, Faculty of Agricultural and Veterinary Sciences, Lebanese University, Main Road to Mkalles Roundabout, Dekwaneh, Lebanon

NPK DSS - A Model for Optimizing the Timing and Spatial Distribution of Fertilization

Alessandro Vignati, Francesco Saverio Santaga

Agricolus SRL, Via Settevalli 320, 06129 Perugia, Italy

NPK DSS - A Model for Optimizing the Timing and Spatial Distribution of Fertilization

Alessandro Vignati, Francesco Saverio Santaga

Agricolus SRL, Via Settevalli 320, 06129 Perugia, Italy

ICAERUS: Innovations and Capacity Building in Agricultural, Environmental, and Rural UAV Services - Crop Monitoring and Drone Spraying Use Cases

AIKATERINI KASIMATI¹, VASILIS PSIROUKIS¹, ESTHER VERA², ALDO SOLLAZZO², SPYROS FOUNTAS¹

1: Agricultural University of Athens, 75 Iera Odos Str., 11855 Athens, Greece; 2: Noumena, Gran Via de les Corts Catalanes 690, 08010, Barcelona, Spain

Open data for information on water accessibility by women in Machakos County, Kenya

Nancy Kananu Marangu

Chemichemi Foundation, Kenya

Development of high resolution irrigation estimates in the Italy under drought stress.

Muhammad Usman Liaqat¹, Luca Brocca¹, Jacopo Dari^1,2, Paolo Filippucci¹

1: Research Institute for Geo-Hydrological Protection, National Research Council, Perugia, Italy; 2: Department of Civil and Environmental Engineering, University of Perugia, Perugia, Italy

Harvest estimation in barley and wheat plots using Sentinel-2 Imagery

Miguel Herrezuelo, Vicente Burchard-Levine, Benjamin Mary, Héctor Nieto

Consejo Superior de Investigaciones Científicas, Spain

Combining Earth Observation data and Machine Learning to estimate industrial tomato yield response to climate change in Piacenza province, Italy

Sara Magazzino¹, Maria Luisa Quarta¹, Noemi Fazzini¹, Maximilien Houël², Monia Santini³, Sofia Pellegatta⁴, Rob Carrillo⁵

1: MEEO S.r.l., Italy; 2: SISTEMA GmbH, Austria; 3: CMCC Foundation, Italy; 4: Alma Mater Studiorum - University of Bologna, Italy; 5: Trust-IT Services, Italy

EO Africa Water Resource Management: support to farmers and planners to improve irrigation water management

Anna Maria Deflorio¹, Vito Depasquale¹, Pietro Sciusco¹, Ahmed Ali Ayoub Abdelmoneim², Bilal Derardja², Mohammed El-Shirbeny³, Dionisis Grigoriadis⁴, Maria Ieronymaki⁴, Emmanouela Ieronymidi⁴, Roula Khadra², Theophilos Valsamidis⁴, Espen Volden⁵, Hosam Bendary⁶

1: Planetek Italia s.r.l., Italy; 2: CIHEAM Bari (International Center for Advanced Mediterranean Agronomic Studies - Mediterranean Agronomic Institute of Bari, Italy; 3: National Authority for Remote Sensing and Space Sciences, Cairo; 4: Planetek Hellas - 44 Kifisias Avenue, 15125 Marousi, Athens, Greece; 5: ESA ESRIN; 6: Sixth of October for Agricultural Projects company (OSAP)

Online Crop Modelling Service to Support Irrigation and Agricultural Insurance via the Danube Information Factory

Márton Tolnai

CropOM-Hungary Kft., Hungary

Spotting the drought: A crop digital twin reveals how 2022's record summer affected cereal grain yields in Switzerland

Lukas Valentin Graf^1,2, Gregor Perich^1,2

1: Terensis GmbH, Switzerland; 2: Crop Science, ETH Zürich, Switzerland

Improved crop monitoring and yield estimation by integrating satellite and in-situ sensor data

Isabelle Piccard¹, Laurent Tits¹, Sam Oswald¹, Kristof Van Tricht¹, Giorgia Milli¹, Koen Uyttenhove², Koen Van Rossum¹

1: VITO, Belgium; 2: AVR bvba, Belgium

EuroCrops

Ayshah Chan^1,2, Maja Schneider¹, Marco Körner^1,2

1: Technical University of Munich (TUM), TUM School of Engineering and Design, Chair of Remote Sensing Technology, Arcisstr. 21, Munich, Germany; 2: Munich Data Science Institute (MDSI)

Waterbox model: a new approach to precise monitoring of crop water needs and excess

Mauro Roscini, Matteo Cardinali, Emanuele Ranieri

Agricolus srl, Italy

Sentinel-2 and Eco-schemes: Shaping the Future of Agriculture under CAP 2023-2027

Filippo Sarvia¹, Samuele De Petris¹, Alessandro Farbo¹, Francesco Parizia¹, Gianluca Cantamessa², Elena Xausa², Enrico Borgogno-Mondino¹

1: Department of Agricultural, Forest and Food Sciences, University of Turin, L.go Braccini 2, 10095 Grugliasco, Italy; 2: Agenzia Regionale Piemontese per le Erogazioni in Agricoltura (ARPEA), Via Bogino 23, 10123 Torino, Italy

High-resolution baseline of soil organic carbon stocks on a large scale: Insights from a regional living laboratory on crop rotation in Emilia-Romagna

Michele Croci¹, Gohar Ghazaryan², Andrea Ferrarini¹, Giorgio Impollonia¹, Claas Nendel², Stefano Amaducci¹

1: Departement of Sustainable Crop Production, Università Cattolica del Sacro Cuore di Piacenza, via Emilia Parmense, 84, 29122 Piacenza, PC, Italy; 2: Leibniz Centre for Agricultural Landscape Research (ZALF), Müncheberg, Germany