Nikolaos Tziolas

Orcid: 0000-0002-1502-3219

According to our database1, Nikolaos Tziolas authored at least 14 papers between 2019 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2023
In situ grape ripeness estimation via hyperspectral imaging and deep autoencoders.
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

The Greek Soil Data Cube in Support of Generating Soil Related Analysis Ready Data.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Monitoring Soil Properties Using EnMAP Spaceborne Imaging Spectroscopy Mission.
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
Earth Observation Data-Driven Cropland Soil Monitoring: A Review.
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 Sensing Techniques for Soil Organic Carbon Estimation: A Review.
Remote. Sens., 2019


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