Conference Agenda

Welcome by ESA: Rune Floberghagen

. .

.

Workshop Objectives and Organisation: Espen Volden

. .

.

Welcome by EC DG-JRC: Alessandra Zampieri (Remotely)

. .

.

Welcome by EC DG-RTD: Franz Immler (Remotely)

. .

.

Welcome by EC DG-AGRI: Orsolya Frizon-Somogyi (Remotely)

. .

.

Welcome by EC DG-DEFIS: Mauro Facchini (Remotely)

. .

.

Welcome by FAO: José Rosero Moncayo

. .

.

Welcome by WFP & keynote: WFP EO activities and needs, Giancarlo Pini (Remotely)

. .

.

Welcome by GEOGLAM & keynote: Essential Agricultural Variables, Sven Gilliams

. .

.

Keynote: Machine Learning and EO for Agriculture, Athanasiadis Ioannis (WUR, NL)

. .

.

Discussion

. .

.

Sentinel Expansion missions, Next Generation and FLEX

Marco Celesti (Remotely)¹, Malcom Davidson (Remotely)², Benjamin Koetz³, Jose Moreno⁴

1: HE Space for ESA - European Space Agency, Netherlands, The; 2: ESA-ESTEC, Netherlands, The; 3: ESA-ESRIN, Italy; 4: University of Valencia

constellr HiVE – a satellite constellation for monitoring land surface temperature and supporting food security

Daniel Spengler¹, Elsy Ibrahim², Ariadna Pregel Hoderlein¹, Jonas Berhin², Christophe Lerot², Mohammad Iranmanesh², Matthieu Taymans²

1: constellr GmbH, Germany; 2: constellr S.A., Belgium

Monitoring crop status dynamic with PRISMA imagery: vegetation traits estimation and crop residues quantification

Mirco Boschetti, Gabriele Candiani, Francesco Nutini, Monica Pepe

CNR-IREA, Italy

NISAR, a repeat-pass L- and S-band SAR for Agriculture and Ecological applications (Remote Speaker)

Paul Siqueira

University of Massachusetts, United States of America

Hydrosat and IrriWatch: water management from space

Florian Werner, Matteo G. Ziliani, Roula Bachour, Albert Abelló, Wim Bastiaanssen

Hydrosat

Discussion

. .

.

Time-Series Dataset Construction for Analyzing Soil Moisture, Water Retention, and Carbon Sequestration Dynamics Using Earth Observation

Carlo Cena¹, Giacomo Franchini¹, Andrea Magnano², Marcello Chiaberge¹, Danilo Demarchi¹

1: Politecnico di Torino, Italy; 2: Nabu SRL, Italy

After the Waters Receded: Destruction of Khakovka Dam affects Ukraine’s agricultural production

Sheila Baber¹, Yuval Sadeh⁴, Inbal Becker-Reshef^1,2,3, Sergii Skakun¹

1: University of Maryland, United States of America; 2: University of Strasbourg, The Engineering science, computer science and imaging laboratory (Icube), France; 3: GEOGLAM Secretariat, Geneva, Switzerland; 4: Monash University, Melbourne, Australia

A field-parcel-based algorithm for mapping potato distribution with multi-temporal Sentinel-2 images

Hasituya ., Zhongxin Chen

Food and Agriculture Organization of the United Nations (FAO)

SmartFarm: Combining Sentinel 1 & 2 to Derive Near-realtime Pasture Biomass

Alex Cornelius¹, Andy Shaw¹, Clive Blacker²

1: Assimila, United Kingdom; 2: Aganalyst, United Kingdom

AI-based SAR-to-optical GAI regression for crop monitoring

Jean Bouchat, Quentin Deffense, Pierre Defourny

Earth and Life Institute, Université catholique de Louvain, 1348 Louvain-la-Neuve, Belgium

Remote sensing-based Weather Area Index Insurance (WAII) - An affordable insurance solution to increase resilience of small-scale farmers

Francesco Holecz¹, Luca Gatti¹, Alessandro Cattaneo¹, Massimo Barbieri¹, Loris Copa¹, Giaime Origgi¹, Jan Kerer²

1: sarmap, Switzerland; 2: Jan Kerer Consulting, Germany

Remote sensing based estimation of crop yields for official statistics

Oliver Reitz

Hessisches Statistisches Landesamt, Germany

AI-based tillage detection for improved agricultural and climate policies

Catherine Akinyi Odera, Indrek Sünter, Mariana Rohtsalu, Tetiana Shtym, Heido Trofimov, Karoli Kahn

KappaZeta Ltd, Estonia

Global high-resolution remote sensing cropland extent products comparison

Pengyu Hao¹, Zhongxin Chen¹, Francesco N. Tubiello², Giulia Conchedda², Leon Casse²

1: Digital FAO and Agro-Informatics Division, Food and Agriculture Organization of the United Nations; 2: Statistics Division, Food and Agriculture Organization of the United Nations

The SPADE ecosystem: Airborne edge computing practices for animal production, raising the issues for a trustworthiness framework.

Dionysis Bochtis³, Costas Davarakis¹, Steve Brewer², Aristotelis Tagarakis³, Alex Loos⁴, George Kyriakarakos⁵

1: NST AE, Greece; 2: University of Lincoln, United Kingdom; 3: Institute of Bio-Economy and Agri-Technology IBO-CERTH, Greece; 4: Fraunhofer Institute for Digital Media Technology, Germany; 5: Farm-B, Greece

Sentinels for Agricultural Statistics (Sen4Stat) – Sentinel EO information supporting the agricultural statistics

Sophie Bontemps¹, Luis Ambrosio², Cosmin Cara³, Pierre Houdmont¹, Laurentiu Nicola³, Boris Nörgaard¹, Cosmin Udroiu³, Lorenzo de Simone⁴, Zoltan Szantoi⁵, Pierre Defourny¹

1: Université catholique de Louvain (UCLouvain), Belgium; 2: Universidad Politécnica de Madrid, Spain; 3: CS Romania, Romania; 4: FAO; 5: ESA-ESRIN

Quantitative Measurement of Landscape Features in EU Agriculture: A Novel Indicator Approach

Raphaël d'Andrimont¹, Jon Skøien¹, Talie Musavi¹, Momtchil Iordanov¹, Javier Gallego¹, Davide De Marchi¹, Renate Koeble¹, Irene Guerrero¹, Ana Montero-Castaño¹, Jean-Michel Terres¹, Bálint Czúcz²

1: European Commission, Join Research Centre, Belgium; 2: Norwegian Institute for Nature Research, Trondheim, Norway

Remote sensing of agricultural land use for enhanced climate policy implementation

Stefan Erasmi¹, Felix Lobert¹, Lukas Blickensdörfer¹, Roland Fuß², Javier Muro¹, Marcel Schwieder¹

1: Johann Heinrich von Thünen Institute, Institute of Farm Economics, Germany; 2: Johann Heinrich von Thünen Institute, Institute of Climate-Smart Agriculture, Germany

THEROS: An Integrated Toolbox Enhancing Verification in Food Supply Chains

Dimitra Tsiakou, Valantis Tsiakos, Angelos Amditis, Georgios Tsimiklis

Institute of Communication and Computer Systems (ICCS), National Technical University of Athens, Greece

In-season and Dynamic Crop Mapping for Sustainable Agriculture Leveraging Sentinel-2 Data and Deep Neural Networks

Ignazio Gallo¹, Mirco Boschetti²

1: University of Insubria, Italy; 2: National Research Council of Italy, Institute for the Electromagnetic Sensing of Environment (CNR-IREA)

A spatially explicit risk indicator to monitor residential pesticide exposure from earth observation

Francesco Galimberti¹, Thomas Fellmann², Pietro Florio¹, Pieter Kempeneers¹, Ana Klinnert², Michael Olvedy¹, Raphael d'Andrimont³

1: European Commission - JRC, Italy; 2: European Commission - JRC, Seville; 3: European Commission - JRC, Brussels

Evaluating the Causal Impact of Humanitarian Interventions on Food Insecurity in Climate-Vulnerable Regions of Africa

Jordi Cerdà-Bautista, José María Tárraga, Vasileios Sitokonstantinou, Gustau Camps-Valls

Universitat de València, Spain

Fine scale cocoa mapping with deep learning methods

Kasimir Alexander Orlowski¹, Filip Sabo², Astrid Verhegghen³, Michele Meroni⁴, Felix Rembold²

1: FINCONS S.P.A., Milan, Italy; 2: European Commission, Joint Research Centre, Ispra, Italy; 3: ARHS Developments Italia S.R.L., Milan, Italy; 4: Seidor Consulting, Barcelona, Spain

Exploring Sentinel-1 data for agricultural monitoring maize growth, soil moisture, and clay content analysis in Umbria, Italy

Iva Hrelja, Andrea Soccolini, Sara Antognelli

Agricolus s.r.l, Italy

EO4CarbonFarming – A Monitoring, Reporting and Verification Tool for Carbon Farming – Case Study of Carbon Sequestration between 2017 and 2022 for a pilot area in Austria

Jakob Wachter, Isabella Kausch, Silke Migdall, Heike Bach

VISTA Geowissenschaftliche Fernerkundung GmbH

National-scale, within-season sunflower mapping and area estimation in Ukraine without field-level labels

Abdul Qadir, Sergii Skakun, Inbal Becker-Reshef

University of Maryland, College Park, United States of America

EMBAL - European Monitoring of Biodiversity in Agricultural Landscapes

Luca Kleinewillinghöfer¹, Clemens Baier², Laura Sutcliffe², Lars Roggon¹, Carsten Haub¹, Rainer Opperman²

1: EFTAS Fernerkundung Technologietransfer; 2: Institut für Agrarökologie und Biodiversität (ifab)

Remote-C project in a nutshell: scaling soil C sequestration in croplands with operational remote sensing-based MRV tools

Francesco Nutini¹, Mirco Boschetti¹, Monica Pepe¹, Federico Filipponi¹, Satalino Giuseppe¹, Giorgio Ragaglini², Andrea Ferrarini³

1: National Research Council of Italy; 2: University of Milan; 3: Catholic University of the Sacred Heart

Improving high-resolution spatial information on grassland management by integrating remotely sensed products with statistical and in situ data

Linda See, Žiga Malek, Zoriana Romanchuk, Orysia Yashchun

IIASA, Austria

Challenges in monitoring continental-wide yield gap: An Australian story

Jonathan Richetti¹, Javier Navarro², Marta Monjardino³, Masood Azeem³, Roger Lawes¹, John Kirkegaard⁴, Zvi Hochman⁵, Rick Llewellyn³

1: CSIRO, 147 Underwood Av Floreat, 6014 - WA, Australia; 2: CSIRO, 306 Carmody Road Sta Lucia, 4067 - QLD, Australia; 3: CSIRO, 4 Waite Road Urrbrae, 5064 - SA, Australia; 4: CSIRO, 2-40 Clunies Ross Street Acton, 2601 - ACT, Australia; 5: University of Melbourne, Grattan Street Parkville, 3010 - VIC, Australia

Multi-annual assessment of farming practices using Sen4CAP in order to support carbon farming

Louise Lesne¹, Bernard Tychon², Pierre Defourny¹

1: Earth and Life Institute, UCLouvain, Belgium; 2: Spheres Research Unit, ULiège, Belgium

Dashboard service supporting agricultural decision-making based on satellite and in-situ data

Gerhard Triebnig¹, Bernadett Csonka¹, David Kolitzus², Donvan Grobler², Stefan Achtsnit¹, Nikola Jankovic¹, Silvester Pari¹, Elias Wanko¹, Stefan Brand¹

1: EOX IT Services, Austria; 2: GeoVille GmbH, Austria

Assessing the Quality of New HRL Crop Types: A Comparative Analysis with Farmers' Declarations across the European Union

Martin Claverie¹, Raphael D’Andrimont¹, Usue Donezar², Ludvig Forslund², Marijn Van der Velde¹

1: European Commission, Joint Research Centre (JRC), Ispra , Italy; 2: European Environment Agency (EEA), Copenhagen, Denmark

Data processing for in-season crop type mapping within GEOGLAM framework

Menno de Vries¹, Alexandre Pennec², Ilaria Palumbo³, Felix Rembold³, Carlos de Wasseige², Paul van der Voet¹, Eric van Valkengoed¹

1: TerraSphere BV, Amsterdam, the Netherlands; 2: CLS, Collecte Localisation Satellites, 31250 Ramonville Saint-Agne, France; 3: European Commission, Joint Research Centre (JRC)—Food Security Unit, 21027 Ispra, Italy

Exploring the temporal and spatial extent of image collections to deliver soil health indicators supporting sustainable agriculture.

Panagiotis Ilias, Tuna Coppens, Bert Callens, Nick Berkvens

ILVO, Flanders research institute for Agriculture, Fisheries and Food

Mapping Commodity Crops and Forest-Related Carbon Emissions Across the Tropics: A Machine Learning Approach

Robert N. Masolele¹, Camilo Ernesto Zamora Ospina², Johannes Reiche¹, Martin Herold²

1: Laboratory of Geo-Information Science and Remote Sensing, Wageningen University and Research, Droevendaalsesteeg 3, 6708, Wageningen, PB, The Netherlands; 2: GFZ, German GeoResearch Center, Potsdam, Germany

The Copernicus4GEOGLAM Crop Monitoring Service

Ilaria Palumbo¹, Felix Rembold¹, Michele Meroni¹, Alexandre Pennec², Menno de Vries³, Carlos de Wasseige², Eric van Valkengoed³

1: European Commission - Joint Research Centre, Ispra; 2: Collecte Localisation Satellites; 3: TerraSphere

Combat Against Climate Change on Cotton Communities (C5): An Earth observation advisory tool to secure a climate resilient cotton supply chain.

Gerardo Lopez Saldana¹, Josephine Mahony¹, Andy Shaw¹, Sunaina Chaturvedi², Suraiya Jamy², Farid Uddin²

1: Assimila, United Kingdom; 2: CottonConect, Bangladesh

Utilizing UAV technology to streamline monitoring for the conservation of segetal flora in arable land

Caterina Barrasso^1,2, Robert Krüger³, Lisanne Hölting¹, Anette Eltner³, Anna Cord^1,2,4

1: Chair of Computational Landscape Ecology, Technische Universität Dresden; 2: Center for Scalable Data Analytics and Artificial Intelligence (ScaDS.AI) Dresden/Leipzig; 3: Chair of Geosensor systems, Technische Universität Dresden; 4: Agro-ecological Modeling, University of Bonn

Advancing Irrigation Mapping and Modeling in Temperate Regions

Gohar Ghazaryan^1,2, Stefan Ernst², Rachel Escueta¹, Claas Nendel^1,3,4

1: Leibniz Centre for Agricultural Landscape Research, Germany; 2: Geography Department, Humboldt-Universität zu Berlin , Germany; 3: Institute of Biochemistry and Biology, University of Potsdam, Germany; 4: Integrative Research Institute on Transformations of Human-Environment Systems (IRI THESys), Humboldt-Universität zu Berlin, Germany

Monitoring production of Pairing large and small farmers in Ukraine using EO Tools

Molly Brown, Min Feng, Vladimir Eskin

6th Grain Corporation, United States of America

Early and In-Season Crop Type Mapping Using Multi-Temporal Sentinel-2 Data in Absence of Current-Year Ground Truth Field data

Gautam Dadhich, Matieu Henry

Food and Agriculture Organization of the United Nations

Early and In-Season Crop Type Mapping Using Multi-Temporal Sentinel-2 Data Without Current-Year Ground Truth Field data

Gautam Dadhich, Matieu Henry

Food and Agriculture Organization of the United Nations

The Transition towards a Sustainable Intensification of Agriculture: The Potential of Remote Sensing to Support Small Holder Farmers in West Africa

Jonas Meier¹, Frank Thonfeld¹, Niklas Heiss¹, Pierre C. Sibiry Traore², Celeste Tchapmi Nono Nghotchouang², Janet Mumo Mutuku², Sidy Tounkara³, Laure Tall³, Ursula Gessner¹

1: German Aerospace Center (DLR); 2: Manobi Africa; 3: Initiative Prospective Agricole et Rurale (IPAR)

FuseTS: A Cloud-based Toolbox for S1 and S2 Time Series Fusion, Gap-filling, and Cropland Phenology Analytics

Jochem Verrelst¹, Bram Janssen², Matic Lubej³, Jeroen Dries², Darius Couchard², Kristof Van Ticht², Nejc Vesel³, Grega Milcinski³, Matias Salinero Delgado¹, Eatidal Amin¹, Patrick Griffiths⁴

1: University of Valencia, Spain; 2: VITO, Belgium; 3: Sinergise, Slovenia; 4: ESA-ESRIN, Italy

Crop Type Classification over Germany using Sentinel-2 and Sentinel-1 Data. Potential for Crop Rotation Assessments and within-Season Mapping

Ursula Gessner¹, Andreas Hirner¹, Sarah Asam¹, Sophie Reinermann², Jonas Meier¹

1: German Aerospace Center (DLR), German Remote Sensing Data Center (DFD), Germany; 2: University of Wuerzburg, Earth Observation Research Cluster, Germany

In-season unsupervised mapping and planted area estimation of major crops in war-affected Ukraine

Josef Wagner¹, Sergii Skakun^2,4, Shabarinath Nair¹, Yuval Sadeh^2,3, Sheila Baber², Oleksandra Oliinyk², Fangjie Li¹, Inbal Becker-Reshef^2,1

1: ICube Laboratory, University of Strasbourg, Illkirch-Graffenstaden, 67400, France; 2: Department of Geographical Sciences, University of Maryland, College-Park, 20742, Maryland, USA; 3: School of Earth, Atmosphere and Environment, Monash University, Clayton, 3800, Victoria, Australia; 4: College of Information Studies, University of Maryland, College-Park, 20742, Maryland, USA

Locating and estimating cropland abandonment areas in conflict situation: a case study in Masisi and Rutshuru regions, DRC

Josef Wagner¹, Inbal Becker-Reshef^2,1, Shabarinath Nair¹, Manav Gupta¹, Erik Duncan²

1: ICube, University of Strasbourg, Illkirch-Graffenstaden, 67400, France; 2: Department of Geographical Sciences, University of Maryland, College-Park, 20742, Maryland, USA

Assessing yield and protein content of winter wheat with organomineral fertilizers in Mediterranean soils using PlanetScope imagery

Katarzyna Cyran¹, Italo Moletto-Lobos¹, Silvia Sánchez-Méndez², Luciano Orden^2,3, Jose Saéz-Tovar², Encarni Martínez Sabater², Javier Andreu Rogriguez², Raul Moral², Belen Franch¹

1: Global Change Unit, University of Valencia, Spain; 2: Department of Agrochemistry and Environment, Universidad Miguel Hernández de Elche, Spain; 3: Estación Experimental Agropecuaria INTA Ascasubi (EEA INTA Ascasubi), Argentina

Linking EO and Cosmic Ray Neutron Sensor Technology for Enhancing Agricultural Water Management

HAMI SAID AHMED¹, MODOU MBAYE², NOUR EDDINE AMENZOU³, GERD DERCON¹

1: Soil and Water Management & Crop Nutrition Laboratory, Joint FAO/IAEA Centre of Nuclear Techniques in Food and Agriculture; 2: Centre d'Etude Régional pour l'Amélioration de l'Adaptation à la Sécheresse (CERAAS), Institut Sénégalais de Recherche Agricole (ISRA), Thiès Sénégal; 3: Division Eau et Climat (DEC) CNESTEN (Centre National de l'Energie, des Sciences et des Techniques Nucléaires)

Within-field Spatial Heterogeneity of Crop Growth from Multi-year Green Area Index Time Series Analysis

Tom Kenda, Céline Champagne, Xavier Draye, Pierre Defourny

Earth and Life Institute, UCLouvain, Belgium

Evaluating Biodiversity in Mountain Agroecosystems Using PRISMA Hyperspectral Imaging: A Case Study in South Tyrol's Sciliar Natural Park

Emanuela Patriarca, Mariapina Castelli, Emilio Dorigatti, Ruth Sonnenschein, Laura Stendardi, Basil Tufail, Bartolomeo Ventura, Claudia Notarnicola

Eurac Research, Institute for Earth Observation, Bolzano, Italy

Quantifying and reducing environmental impacts of agricultural supply chains using Landgriffon

Michael Harfoot¹, Elena Palao², Francis Gassert²

1: Vizzuality, UK; 2: Vizzuality, Spain

Enhancing Sustainable Agriculture Through Earth Observation: The CRISP Project

Giaime Origgi¹, Luca Gatti¹, Massimo Barbieri¹, Loris Copa¹, Alessandro Cattaneo¹, Francesco Holecz¹, Alessandro Marin², Renaud Mathieu³, Emma Quicho³, Sushree Satapathy³

1: sarmap sa, Switzerland; 2: CGI,Italy; 3: IRRI, Philippines

PEOPLE4NewCAP - Pioneer Earth Observation apPLications for the Environment - Monitoring The New CAP and Agriculture Eco-schemes

Lucie Dekanova

GISAT, Czech Republic

"Dragonfly",the Digital Agri Platform for Smart & Precision Farming

Poramet Thuwakham, Porutai ThianThai

GISTDA International Relations Officer | International Affairs Division, Thailand

Monitoring land surface temperature: New opportunities with very high satellite revisit rates

Kathrin Umstädter, Lukas Kondmann, Christian Mollière, Julia Gottfriedsen Gottfriedsen

OroraTech GmbH, Germany

WaPOR Accounter: a web app to easily and interactively monitor Water Productivity at field scale

Bert Coerver, Livia Peiser

FAO, Rome

Plant water monitoring in Africa – Expanding hyperspectral (PRISMA and EnMap) analysis capacity by exploiting free and open-source software

Veronika Otto¹, Silke Migdall¹, Jeroen Degerickx², Heike Bach¹

1: Vista, Germany; 2: Vito, Belgium

Boosting Crop Classification by Hierarchically Fusing Satellite, Rotational, and Contextual Data

Valentin Barriere^1,2, Martin Claverie³, Maja Schneider⁴, Guido Lemoine³, Raphael d'Andrimont³

1: Universidad de Chile, DCC, Chile; 2: CENIA, Chile; 3: JRC-Ispra, Italy; 4: TUM, Germany

In-season Crop Type Mapping: An accuracy evaluation at European scale using the CHEAP Database

Martin Claverie¹, Valentin Barriere², Raphaël d'Andrimont¹, Renate Koeble¹, Marijn Van der Velde¹

1: European Commission, Joint Research Centre (JRC), Ispra , Italy; 2: Centro Nacional de Inteligencia Artificial (CENIA), Santiago , Chile

Earth Observation for estimating and predicting crop nutrients

Mariana Belgiu¹, Michael Marshall¹, Gabriele Candiani², Mirco Boschetti², Monica Pepe², Francesco Nutini², Micol Rossini³, Chiara Ferrè³, Luigi Vignali³, Cinzia Panigada³, Roberto Colombo³, Stephan Haefele⁴, Murray Lark⁴, Alice Milne⁴, Grace Kangara⁴, Tobias Hank⁵, Stefanie Steinhauser⁵, Rain Vargas Maretto¹, Chris Hecker¹, Alfred Stein¹, Andy Nelson¹

1: University of Twente, Faculty of Geo-Information Science and Earth Observation (ITC), the Netherlands; 2: Institute for Electromagnetic Sensing of the Environment, Italian National Research Council (CNR); 3: University of Milano-Bicocca, Department of Earth and Environmental Sciences; 4: Rothamsted Research; 5: Ludwig-Maximilians University of Munich, Department of Geography

A Rapid Assessment Framework to monitor harvest progress in Ukraine

Shabarinath Sreedharan Nair^1,3, Sergii Skakun^2,3, Josef Wagner^1,3, Yuval Sadeh^4,3, Mehdi Hosseini^2,3, Saeed Khabbazan^5,3, Sheila Baber^2,3, Blake Munshell^2,3, Fangjie Li^1,3, Eric Duncan^2,3, Inbal Becker Reshef^1,2,3

1: Laboratoire ICube, Team TRIO, Université de Strasbourg, France; 2: Department of Geographical Sciences, University of Maryland, MD, USA; 3: NASA Harvest; 4: Department of Geography, University of Monash, Australia; 5: Delft University of Technology

Discussion

. .

.

Satellite-based services for smallholder food producers in support of food security. A dream or a reality?

Ruud Grim, Kees van Duijvendijk

Netherlands Space Office

Satellite-based germination insurance for smallholder farmers in Africa

Mark Noort

HCP international, Netherlands, The

Development of a farm-scale water-accounting model incorporating farmers’ behaviour and remote sensed data

Pietro Sciusco¹, Vincenzo Barbieri¹, Laura Mirra², Raffaella Mattarese², Ivan Portoghese², Giacomo Giannocchero³

1: Planetek Italia s.r.l., Italy; 2: Water Research Institute- National Research Centre (IRSA-CNR); 3: Department of Soil, Plant and Food Science, DiSSPA ,University of Bari Aldo Moro

Near real-time monitoring of irrigation water use per farm by combining satellite and in-situ data with hydrological models

Joost Brombacher, Steven Wonink, Jelle Degen, Annemarie Klaasse, Mechteld Andriessen

eLEAF, Netherlands, The

Retrieving crop phenology at field scale in the Nile Delta using the Sen2Like processor and PlanetScope imagery

Katarzyna Cyran¹, Eatidal Amin², Santiago Belda³, Italo Moletto-Lobos¹, Belen Franch¹, Zoltan Szantoi⁴, Francesco Fava⁵, James Wheeler⁶, Ahmed El Baroudy⁷

1: Global Change Unit, University of Valencia, Spain; 2: Laboratory for Earth Observation, University of Valencia, Spain; 3: Department of Applied Mathematics, University of Alicante, Spain; 4: European Space Agency, Italy; 5: Department of Environmental Science and Policy, University of Milan, Italy; 6: SOLENIX, Italy; 7: Faculty of Agriculture, University of Tanta, Egypt

Mitigating Food Security Challenges in Afghanistan: A Geospatial and Remote Sensing Approach

Dario Spiller¹, Qiyamud Din Ikram¹, Matieu Henry¹, Kaustubh Devale², Sayed Sharif²

1: Geospatial Unit, NSL FAO; 2: FAO Afghanistan (FAOAF)

Discussion

. .

.

Earth Observation for Improving Nitrogen Use Efficiency

Nicola Pounder¹, Alex Cornelius¹, Joe Walters², Ian Davies¹, Yara Al Sarrouh¹, Clive Blacker², Mechteld Blake-Kalff³, Laurence Blake³, Andy Shaw¹

1: Assimila Ltd., United Kingdom; 2: AgAnalysts, United Kingdom; 3: Hill Court Farm Research, United Kingdom

Blockchain and Earth Observation: Driving Sustainability in the Food System

Mihaela-Violeta Gheorghe¹, Daniel García -Yusta², Teodora Selea¹, Javier Fontecha-Guadaño²

1: GMV Innovating Solutions, Romania; 2: GMV-SES, Spain

Agri-Dashboard to Support CAP Monitoring

Gerhard Triebnig¹, Bernadett Csonka¹, David Kolitzus², Donvan Grobler², Stefan Achtsnit¹, Stefan Brand¹, Silvester Pari¹, Elias Wanko¹, Nikola Jankovic¹

1: EOX IT Services, Austria; 2: GeoVille GmbH, Austria

Landscape features in EU agricultural areas and their effects on farmland biodiversity

Talie Musavi¹, Jon Skøien¹, Bálint Czúcz², Andrea Hagyo³, Xavier Rotllan Puig¹, Ana Montero Castano¹, Renate Koeble¹, Marijn Van Der Velde¹, Jean-Michel Terres¹, Raphaël d’Andrimont¹

1: European Commission - Joint Research Center, Ispra, Italy; 2: Norwegian Institute for Nature Research, Torgarden, P.O. 5685, 7485 Trondheim, Norway; 3: European Environment Agency, Copenhagen, Denmark

Personalizing crop choice to increase soil organic carbon with causal inference

Georgios Giannarakis¹, Vasileios Sitokonstantinou², Ilias Tsoumas^1,3, Gustau Camps-Valls², Charalampos Kontoes¹

1: BEYOND Centre, IAASARS, National Observatory of Athens; 2: Image Processing Laboratory (IPL), Universitat de Valencia; 3: Wageningen University & Research

Pantropical Biweekly Monitoring of Oil Palm Plantations over the 6 Years of the 100m Proba-V Mission

Audric Bos¹, Céline Lamarche¹, Fabrizio Niro², Pierre Defourny¹

1: Université Catholique de Louvain, Belgium; 2: European Space Agency

Discussion

. .

.

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

. .

.

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

. .

.

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

. .

.

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

EO4CerealStress: Advancing Crop Stress Monitoring by Integrating Earth Observation Data and Modelling Techniques

Zaib un nisa¹, Booker Ogutu¹, Victor Rodriguez Galiano², Roshanak Darvishzadeh³, Andy Nelson³, Furkan Celik³, Padmageetha Nagarajan³, Clement Atzberger⁴, Omid Ghorbanzadeh⁴, Catherine Champagne⁵, Aaron Berg⁶, Espen Volden⁷, Ewelina Agnieszka Dobrowolska⁸, Jadu Dash¹

1: School of Geography and Environmental Science, University of Southampton, UK; 2: Department of Geography, University of Seville, Spain; 3: Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, The Netherlands; 4: Institute of Geomatics, University of Natural Resources and, Life Sciences (BOKU), Austria; 5: Agriculture and Agri-Food, Canada; 6: University of Guelph, Canada; 7: European Space Agency - ESRIN, Italy; 8: Serco Italia S.p.A, Italy

Assessment of Multi-Source Agricultural Drought Indices: Sensitivity to Soil Moisture Variability in Africa

Aolin Jia¹, Kanishka Mallick¹, Tian Hu¹, Zoltan Szantoi²

1: Luxembourg Institute of Science and Technology, Luxembourg; 2: European Space Agency, Italy

National Scale Drought Impact and Risk assessment with the use of Sentinel-2 and Sentinel-3 time series

Gohar Ghazaryan^1,6, Maximilian Schwarz², S. Mohammad Mirmazloumi¹, Harison Kipkulei¹, Tobias Landmann³, Henry Kyalo³, Rose Waswa⁴, Tom Dienya⁵

1: Leibniz Centre for Agricultural Landscape Research, Germany; 2: Remote Sensing Solutions GmbH, Germany; 3: International Centre of Insect Physiology and Ecology, Kenya; 4: Regional Centre for Mapping of Resources for Development, Kenya; 5: Ministry of Agriculture and Livestock Development, Kenya; 6: Geography Department, Humboldt-Universität zu Berlin , Germany

InfoSequia-4CAST: Enhancing impact-based seasonal forecasting by combining EO-based drought indices, climate data, and decision tree ensemble techniques

Sergio Contreras¹, Alicja Grudnowska², Amelia Rodríguez Fernández¹, Gabriela G. Nobre³, Marthe Wens², Gijs Simons⁴

1: FutureWater, Cartagena, Spain; 2: Water and Climate Risk, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands; 3: Assessment and Monitoring Division, United Nations World Food Programme, Rome, Italy; 4: FutureWater, Wageningen, The Netherlands

Utilizing remote sensing technology for the surveillance of mealybug pests in orange orchards as part of the Co-Fruit AGROALNEXT project.

Fàtima Della Bellver¹, Belen Franch Gras^1,2, Alberto San Bautista Primo³, Italo Moletto Lobos¹, Constanza Rubio Michavila⁴, Cesar Guerrero Benavent¹

1: Universitat de València, Spain; 2: Dept of Geographical Sciences, University of Maryland,United States; 3: Departamento de Producción Vegetal, Universitat Politécnica de València, España; 4: Centro de Tecnologías Físicas, Universitat Politécnica de València, España

Using Earth Observation to improve decision support in pest management

Bryony Taylor¹, Pascale Bodevin¹, Jon Styles², Darren Kriticos³, Andy Shaw², Tim Beale¹, Gerardo Lopez Saldana², Alex Cornelius², Libertad Sanchez Presa¹, Alyssa Lowry¹, Joe Beeken¹, Josephine Mahoney², Charlotte Day¹

1: CABI, United Kingdom; 2: Assimila LTD, United Kingdom; 3: Cervantes Agritech, Australia

Discussion

. .

.

Enhancing Agricultural Productivity Assessment Through Integrated Earth Observations and Crop Suitability Analysis

Lorenzo De Simone, Muhammad Fahad, Ana Paula O Campo

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

FAO PLANT-T: Enhancing Climate Adaptation for Maize Cultivation through Advanced Methodologies and Tools for Improved Decision Making

Ramiro Marco Figuera¹, Stefano Natali¹, Giulio Genova², Marco Venturini², Marcello Petitta², Sandra Corsi³, Maria Michela Corvino⁴

1: SISTEMA GmbH, Austria; 2: Amigo Climate; 3: FAO; 4: ESA

Spatial Changes of Winter Wheat Production Under Changing Climate

Leonid Shumilo, Sergii Skakun

University of Maryland, United States of America

Quantifying rice adaptation to climate stressors in Senegal using time-dependent deep learning with the TAPAS platform.

Dualta O Fionnagain¹, Michael Geever¹, Jemima O'Farrell¹, Patricia Codyre¹, Louis Reymondin², Ana Maria Loboguerrero², Charles Spillane³, Aaron Golden¹

1: University of Galway, Ireland, Ireland.; 2: Alliance Bioversity-CIAT.; 3: Ryan Institute, University of Galway, Ireland.

EO TO SUPPORT ADAPTATION AND MITIGATION MEASURES FOR RICE FARMING UNDER CLIMATE AND HUMAN PRESSURES -THE VIETSCO PROJECT

Thuy LE TOAN^1,2, Stephane MERMOZ², Nguyen LAM DAO³, Hironori ARAI^4,5, Alexandre BOUVET¹, Juan DOBLAS², Thierry KOLECK⁶, Linda TOMASINI⁶

1: CESBIO, France; 2: GlobEO, France; 3: VNSC, Vietnam; 4: IRRI, Vietnam Office; 5: Osaka University; 6: CNES, France

Discussion

. .

.

Drone Sampling - increased efficiency of drone surveys for agricultural applications

Dries Raymaekers, Laurent Tits, Stephanie Delalieux, Klaas Pauly, Nick Gutkin, Sam Oswald

VITO, Belgium

Bridging the Gap: Enhancing Land Cover Classification Through In-Situ Photo Analysis and Remote Sensing Integration

Laura Martinez-Sanchez¹, Claudia Paris², Momchil Yordanov¹, Raphael D'Andrimont¹, Marijn van der Velde¹

1: Joint Research Center, Italy; 2: University of Twente

A new high quality global hybrid herbaceous annual cropland map for the year 2020

Steffen Fritz¹, Myroslava Lesiv¹, Linda See¹, Juan Carlos Laso Bayas¹, Katya Perez Guzman¹, Ivelina Georgieva¹, Maria Shchepashenko¹, Dmitry Shchepashenko¹, Francesco Collivignarelli², Michelle Meroni², Hervé Kerdiles², Felix. Rembold²

1: IIASA, Austria; 2: EC, Joint Research Center

Knowledge Distillation from Big Administrative Data

Ayshah Chan^1,2, 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)

Discussion

. .

.