IGARSS 2025 || Brisbane, Australia || 3

TU3.P2.2

Enhancing soil organic carbon prediction of LUCAS soil database using deep learning and deep feature selection

Mohammadmehdi Saberioon, GFZ Helmholtz Centre for Geosciences, Germany; Asa Gholizadeh, Czech university of life Science, Prague, Czech Republic; Ali Ghaznavi, Bundesanstalt für Materialforschung und -prüfung (BAM), Germany; Sabine Chabrillat, GFZ Helmholtz Centre for Geosciences, Germany; Vahid Khosravi, Czech university of life Science, Prague, Czech Republic

Session:

TU3.P2: Artifial Intelligence Advancements for Optimizing Soil Health Monitoring and Accessibility I Oral

Location:

Room P2

Presentation Time:

Tuesday, 5 August, 13:30 - 13:45

Session TU3.P2

TU3.P2.1: Privacy-Preserving Soil Data: Federated Learning for Topsoil Descriptors via Remote Sensing

Nikolaos Tsakiridis, Aristotle University of Thessaloniki, Greece; Eleni Kalopesa, Four Private Company, Greece; Nikolaos Tziolas, University of Florida, United States; Nick Berkvens, Theodoros Chalazas, Tuna Coppens, Panagiotis Ilias, Instituut voor Landbouw-, Visserij- en Voedingsonderzoek, Belgium

TU3.P2.2: Enhancing soil organic carbon prediction of LUCAS soil database using deep learning and deep feature selection

TU3.P2.3: GaiaBot: Simplifying Access to Soil Data

Giannis Gallios, Anastasia Kritharoula, Nikolaos Tziolas, University of Florida, United States

TU3.P2.4: A MACHINE LEARNING METHOD FOR SALINE-ALKALI LAND CONDUCTIVITY ESTIMATING BASED ON THE GROUND PENETRATING RADAR TECHNIQUE

Jiayue Chen, Zijie Zheng, Quanquan Tang, Hao Wen, Bin Wu, Jilin University, China; Xiaofeng Li, Chinese Academy of Sciences, China

TU3.P2.5: Spectral Analytics with Generalized Embeddings using LSTM Autoencoders

Anastasia Kritharoula, Nikolaos Tziolas, University of Florida, United States