ID: 228
/ W1 Agriculture: 1
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
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
Maitreya Mohan Sahoo1, Rom Tarshish1, Yaniv Tubul1, Idan Sabag1, Yaron Gadri1, Gota Morota2, Zvi Peleg1, Victor Alchanatis3, Ittai Herrmann1
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
Vidya Nahdhiyatul Fikriyah1,2, Roshanak Darvishzadeh1, Stephan M Haefele3, Andrew Nelson1
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
Edoardo Ronco1, Enrico Borgogno-Mondino2
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
Penny Nagel1, Warren Zamudio1, SiriJodha Khalsa2, Katsutoshi Mizuta PhD3
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
Eleni Sofikiti, Vasileios Tsironis, Konstantinos Karantzalos
National Technical University of Athens, Greece
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