Nikolaos Tziolas
Orcid: 0000-0002-1502-3219
According to our database1,
Nikolaos Tziolas
authored at least 18 papers
between 2019 and 2024.
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Bibliography
2024
SSL-SoilNet: A Hybrid Transformer-Based Framework With Self-Supervised Learning for Large-Scale Soil Organic Carbon Prediction.
IEEE Trans. Geosci. Remote. Sens., 2024
Proceedings of the IGARSS 2024, 2024
Evaluation of EnMAP Imagery for Accurate Topsoil Estimation in Mediterranean Agricultural Regions.
Proceedings of the IGARSS 2024, 2024
Synergistic Use of Low-Cost Nir Scanner and Geospatial Covariates to Enhance Soil Organic Carbon Predictions Using Dual Input Deep Learning Techniques.
Proceedings of the IGARSS 2024, 2024
2023
Comput. Electron. Agric., September, 2023
Synergistic Use of Earth Observation Driven Techniques to Support the Implementation of Water Framework Directive in Europe: A Review.
Remote. Sens., April, 2023
On-Site Soil Monitoring Using Photonics-Based Sensors and Historical Soil Spectral Libraries.
Remote. Sens., March, 2023
Estimation of Sugar Content in Wine Grapes via In Situ VNIR-SWIR Point Spectroscopy Using Explainable Artificial Intelligence Techniques.
Sensors, February, 2023
Simulation of Spectral Disturbance Effects for Improvement of Soil Property Estimation.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023
Topsoil Organic Carbon Estimations in Greece Via Deep Learning and Open Earth Observation Data.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023
2022
Assessment of soil quality indicators using novel Earth observation technologies and computational intelligence methodologies
PhD thesis, 2022
2021
Remote. Sens., 2021
Cropland Topsoil Properties Mapping by Applying a Machine Learning Algorithm to Open Access Copernicus Data.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021
2020
Employing a Multi-Input Deep Convolutional Neural Network to Derive Soil Clay Content from a Synergy of Multi-Temporal Optical and Radar Imagery Data.
Remote. Sens., 2020
Improved Estimations of Nitrate and Sediment Concentrations Based on SWAT Simulations and Annual Updated Land Cover Products from a Deep Learning Classification Algorithm.
ISPRS Int. J. Geo Inf., 2020
2019
Remote. Sens., 2019