Conference Agenda
Session | ||
W1 Agriculture: 3rd EARSeL Workshop on Agriculture I.
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Presentations | ||
ID: 228
/ W1 Agriculture: 1
Machine Learning-Based Assessment of Agricultural Flood Damage with Sentinel-2 Data: The 2023 Emilia-Romagna Floods 1DICEA, Geodesy and Geomatics Division, Sapienza University of Rome, Rome, Italy; 2Geomatics Unit, Department of Geography, University of Liège, Belgium; 3Department of Geoscience and Remote Sensing, Delft University of Technology, Delft, The Netherlands ID: 246
/ W1 Agriculture: 2
Integrating Multimodal Remote Sensing And Artificial Intelligence To Distinguish Combined Nitrogen And Irrigation Treatments In Sesame 1The Robert H. Smith Faculty of Agriculture, Food & Environment, The Hebrew University of Jerusalem, Rehovot 7610001, Israel; 2School of Animal Sciences, Virginia Polytechnic Institute and State University, Blacksburg, VA, 24061, USA; 3Institute of Agricultural Engineering, Agricultural Research Organization – Volcani Institute, Rishon LeZion 7505101, Israel ID: 141
/ W1 Agriculture: 3
Spectral Response Of Pre-planting Tillage Practices From PlanetScope And Field Spectroscopy Measurements 1Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, the Netherlands; 2Faculty of Geography, Universitas Muhammadiyah Surakarta, Indonesia; 3Sustainable Soils and Crops, Rothamsted Research, UK ID: 184
/ W1 Agriculture: 4
Accuracy Assessment of MOD16A2 Evapotranspiration Estimates in Piemonte (NW Italy): an Analysis of Temporal and Spatial Biases 1University of Turin, Italy; 2University of Turin, Italy and Italian Society of Remote Sensing (AIT) ID: 103
/ W1 Agriculture: 5
Standard to Validate Innovations in Agricultural Testing 1Soilytics, United States of America; 2University of Colorado; 3University of Kentucky ID: 174
/ W1 Agriculture: 6
Evaluating Different Methods For The Estimation Of Bare Soil Surface Reflectance Using Multi-spectral Satellite Image Time Series National Technical University of Athens, Greece |