Conference Agenda

Machine Learning-Based Assessment of Agricultural Flood Damage with Sentinel-2 Data: The 2023 Emilia-Romagna Floods

Filippo Bocchino¹, Valeria Belloni¹, Roberta Ravanelli², Roderik Lindenbergh³

1: DICEA, Geodesy and Geomatics Division, Sapienza University of Rome, Rome, Italy; 2: Geomatics Unit, Department of Geography, University of Liège, Belgium; 3: Department of Geoscience and Remote Sensing, Delft University of Technology, Delft, The Netherlands

Integrating Multimodal Remote Sensing And Artificial Intelligence To Distinguish Combined Nitrogen And Irrigation Treatments In Sesame

Maitreya Mohan Sahoo¹, Rom Tarshish¹, Yaniv Tubul¹, Idan Sabag¹, Yaron Gadri¹, Gota Morota², Zvi Peleg¹, Victor Alchanatis³, Ittai Herrmann¹

1: The Robert H. Smith Faculty of Agriculture, Food & Environment, The Hebrew University of Jerusalem, Rehovot 7610001, Israel; 2: School of Animal Sciences, Virginia Polytechnic Institute and State University, Blacksburg, VA, 24061, USA; 3: Institute of Agricultural Engineering, Agricultural Research Organization – Volcani Institute, Rishon LeZion 7505101, Israel

Spectral Response Of Pre-planting Tillage Practices From PlanetScope And Field Spectroscopy Measurements

Vidya Nahdhiyatul Fikriyah^1,2, Roshanak Darvishzadeh¹, Stephan M Haefele³, Andrew Nelson¹

1: Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, the Netherlands; 2: Faculty of Geography, Universitas Muhammadiyah Surakarta, Indonesia; 3: Sustainable Soils and Crops, Rothamsted Research, UK

Accuracy Assessment of MOD16A2 Evapotranspiration Estimates in Piemonte (NW Italy): an Analysis of Temporal and Spatial Biases

Edoardo Ronco¹, Enrico Borgogno-Mondino²

1: University of Turin, Italy; 2: University of Turin, Italy and Italian Society of Remote Sensing (AIT)

Standard to Validate Innovations in Agricultural Testing

Penny Nagel¹, Warren Zamudio¹, SiriJodha Khalsa², Katsutoshi Mizuta PhD³

1: Soilytics, United States of America; 2: University of Colorado; 3: University of Kentucky

Evaluating Different Methods For The Estimation Of Bare Soil Surface Reflectance Using Multi-spectral Satellite Image Time Series

Eleni Sofikiti, Vasileios Tsironis, Konstantinos Karantzalos

National Technical University of Athens, Greece

State of the Art of Earth Observation in support of Heritage as per the ESA-EARSeL Workshop

Mario Hernandez¹, Jolanda Patruno², Gordon Campbell², Michela Corvino²

1: International Society for Digital Earth (ISDE); 2: European Space Agency (ESA)

Spectral separability in Sentinel-2 data for archaeological prospection. Case studies from Telesia and Labro, Italy

Antonio Corbo¹, Deodato Tapete², Alessandro Jaia³

1: Sapienza Università di Roma, Italy; 2: Italian Space Agency (ASI), Rome, Italy; 3: Sapienza Università di Roma, Italy

Addressing Cultural Heritage Challenges: Applications Of Open-Access Remote Sensing Datasets For Monitoring Threats

Kyriakos Michaelides¹, Stylianos Hadjipetrou¹, Athos Agapiou¹, Apostolos Sarris², Victor Klinkenberg², Miltiadis Polidorou²

1: Dept. of Civil Engineering and Geomatics, Faculty of Engineering and Technology, Cyprus University of Technology, Saripolou 2-8, 3036 Limassol, Cyprus; 2: Digital Humanities GeoInformatics Lab, Sylvia Ioannou Chair on Digital Humanities, Archaeological Research Unit, Department of History and Archaeology, University of Cyprus, Gladstone 12, 1095 Nicosia, Cyprus

Linking Phenological Development at Landscape And Field Level By Means Of Sentinel-1 Time Series

Johannes Markus Löw¹, Steven Hill², Christoph Friedrich², Insa Otte², Tobias Ullmann², Christopher Conrad¹

1: Martin-Luther-University Halle-Wittenberg, Germany; 2: Earth Observation Research Cluster, University of Würzburg

Leveraging Genomic and UAV-Borne Phenotyping Promote Climate Change Resilience Wheat Improvement

Roy Sadeh¹, Victor Alchantis², Roi Ben david³, Zvi Peleg¹, Ittai Herrmann¹

1: The Robert H. Smith Institute of Plant Sciences and Genetics in Agriculture, The Hebrew University of Jerusalem; 2: Institute of Agricultural and Biosystems Engineering, Agricultural Research Organization - Volcani Institute, Rishon LeZion, Israel; 3: Institute of Plant Sciences, Agriculture Research Organization - Volcani Institute, Rishon LeZion, Israel

Multi-Year Multi-Crop Correlation Analysis in Brasov Area

Ioana Plajer¹, Alexandra Baicoianu¹, Matei Debu¹, Maria Stefan², Mihai Ivanovici¹, Corneliu Florea^1,3, Adrian Ghinea², Luciana Majercsik¹

1: Transilvania University of Brasov, Romania; 2: National Institute of Research and Development for Potato and Sugar Beet, Brasov, Romania; 3: National University of Science and Technology Politehnica Bucharest, Romania

Anomaly Detection In Permanent Grasslands For CAP Compliance Monitoring Using Sentinel-2

Eric Kosczor¹, Christine Wessollek¹, Daniel Kinalczyk¹, Pierre Karrasch², Nora Egli², Matthias Forkel¹

1: TUD Dresden University of Technology, Junior Professorship in Environmental Remote Sensing, Dresden, Germany; 2: Saxon State Office for Environment, Agriculture and Geology (LfULG), Dresden, Germany

Monitoring Soybeans and Ozone Relationship with TROPOMI Solar-Induced Fluorescence

Luka Mamic^1,4, Mj Riches², Delphine K. Farmer², Rose K. Rossell², Francesco Pirotti^3,4

1: Sapienza University of Rome, Department of Civil, Building and Environmental Engineering, Italy; 2: Colorado State University, Department of Chemistry, United States of America; 3: University of Padua, Department of Land and Agroforestry Systems (TESAF), Italy; 4: University of Padua, Interdepartmental Research Centre in Geomatics (CIRGEO), Italy

Generative Models for Training Data Augmentation for Building Change Detection from Mono-temporal Images

Getachew Workineh Gella, Stefan Lang

Paris Lodron University of Salzburg, Austria

SenForFlood: A New Global Dataset for Flooded Area Detection

Bruno Menini Matosak, Getachew Workineh Gella, Stefan Lang

Christian Doppler Laboratory for geospatial and EO-based humanitarian technologies, Department of Geoinformatics, Paris Lodron Uniersity of Salzburg, Austria

A Novel Approach in Oil Spill Detection via Satellite Remote Sensing, Data Fusion and Deep Learning

Tom Avikasis Cohen¹, Anna Brook¹, Dror Angel²

1: School of Environmental Sciences, University of Haifa, Israel; 2: Charney School of Marine Science, University of Haifa, Israel

Improved Methodology for Evaluating GEO Fire Algorithms Using a Buffer Window Around LEO Fire Detection Sites

Asaf Vanunu¹, Rodney Fonseca², Meirav Galun³, Boaz Nadler³, Arnon Karnieli¹

1: Ben Gurion University, Israel; 2: Federal University of Bahia, Brazil; 3: Weizmann Institute of Science, Israel

From Point Clouds to Fuel Maps: Modeling Surface Fuels from 3D Terrestrial Lidar Data

Miriam Herrmann¹, Carlos Cabo^2,3, Fabian Ewald Fassnacht¹

1: Freie Universität Berlin, Germany; 2: Centre for Wildfire Research, Swansea University, United Kingdom; 3: Department of Mining Exploitation and Prospecting, University of Oviedo, Spain