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Nikolaos Tziolas

University of Florida

PO Box 117165, 201 Stuzin Hall

Gainesville, FL 32610-0496

United States

  • University of Florida

SCHOLARLY PAPERS

5

DOWNLOADS

291

TOTAL CITATIONS

0

Scholarly Papers (5)

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1.

Soil Organic Carbon Estimation Using Spaceborne Hyperspectral Composites on a Large Scale

Number of pages: 35 Posted: 13 Jan 2025
Xiangyu Zhao, Zhitong Xiong, Paul Karlshoefer, Nikolaos Tziolas, Martin Wiesmeier, Uta Heiden and Xiaoxiang Zhu
affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, University of Florida, Technische Universität München (TUM), affiliation not provided to SSRN and affiliation not provided to SSRN
Downloads 76 (830,555)

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Digital Soil Mapping, Soil Organic Carbon, Hyperspectral, Temporal Composite, Deep Learning, DEM, DESIS

2.

Federated Earth-Observation Models for Collaborative Farm-Scale Soil Mapping

Number of pages: 51 Posted: 13 Aug 2025
Giannis Gallios, Jose Alexandre Melo Dematte, Nikolaos L. Tsakiridis, Matheus C. Cardoso, Anastasia Kritharoula and Nikolaos Tziolas
University of Florida, University of São Paulo (USP) - Department of Soil Science, Aristotle University of Thessaloniki, affiliation not provided to SSRN, University of Florida and University of Florida
Downloads 75 (837,727)

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Convolutional Neural Networks, Privacy-Preserving Analytics, Sentinel-2, GeoServer API, non-IID Data, Decentralized, Sentinel

3.

Internal soil standard as a tool to assess and correct spectral variability between laboratories for a practical quantitative utilization

Number of pages: 34 Posted: 17 Nov 2025
Marmar Sabetizade, Bas van Wesemael, V. Baeten, Fabio Castaldi, Sabine Chabrillat, Jose Alexandre Melo Dematte, Asa Gholizadeh, Stephan M. Haefele, Konstantinos Karyotis, Aleš Klement, Robert Milewski, Simone Pascucci, Louis Paternostre, Stefano Pignatti, Jose Lucas Safanelli, Jonathan Sanderman, Thomas Schmid, Nikolaos Tziolas and Eyal Ben-Dor
affiliation not provided to SSRN, affiliation not provided to SSRN, Walloon Agricultural Research Centre, National Research Council (CNR), affiliation not provided to SSRN, University of São Paulo (USP) - Department of Soil Science, Czech University of Life Sciences Prague (CULS), Rothamsted Research, Aristotle University of Thessaloniki, Czech University of Life Sciences Prague (CULS), affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, Woodwell Climate Research Center, Woodwell Climate Research Center, affiliation not provided to SSRN, University of Florida and Tel Aviv University
Downloads 69 (924,743)

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Internal Soil Standard (ISS), Spectral variability correction, Ring trial, Quality control criterion, Soil carbon analysis, Spectral harmonization.

4.

Spatiotemporal controls on soil organic carbon stocks in subtropical grazing lands: An uncertainty-aware digital soil mapping approach

Number of pages: 62 Posted: 23 Mar 2026
Chang Zhao, Jiayi Song, Jose Dubeux, Sabine Grunwald, Igor L. Bretas, Hao-Yu Liao, Nikolaos Tziolas, Joel B. Harley, Alina Zare, Ebrahim Babaeian, Liza Garcia Jimenez, Luana Queiroz and Cristian T.E. Mendes
University of Florida, University of Florida, University of Florida, University of Florida, University of Florida, University of Florida, University of Florida, University of Florida, University of Florida, University of Florida, University of Florida, University of Florida and University of Florida
Downloads 48 (1,145,425)

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Soil organic carbon stocks, Digital Soil Mapping, Quantile regression forest, Uncertainty quantification, Spatiotemporal controls, Explainable machine learning

5.

The utility of superspectral resolution for operational monitoring of soil organic carbon using remote sensing

Number of pages: 28 Posted: 28 Jan 2026
Beth Delaney, Nikolaos Tziolas, Kevin Tansey and Mick Whelan
University of Leicester, University of Florida, University of Leicester and University of Leicester - Centre for Landscape and Climate Research
Downloads 23 (1,470,786)

Abstract:

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Soil organic carbon, hyperspectral, superspectral, multispectral, satellite remote sensing, LUCAS soil spectral library, Machine Learning