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Paul Karlshoefer

affiliation not provided to SSRN

  • affiliation not provided to SSRN

SCHOLARLY PAPERS

2

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209

TOTAL CITATIONS

5

Scholarly Papers (2)

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1.

A European Soil Organic Carbon Monitoring System Leveraging Sentinel 2 Imagery and the Lucas Soil Data Base

Number of pages: 51 Posted: 23 Jul 2024
Bas van Wesemael, Asmaa Abdelbaki, Eyal Ben-Dor, Sabine Chabrillat, Pablo d'Angelo, Jose Alexandre Melo Dematte, Giulio Genova, Asa Gholizadeh, Uta Heiden, Paul Karlshoefer, Robert Milewski, Laura. Poggio, Marmar Sabetizade, Adrian Sanz, Peter Schwind, Nikolaos L. Tsakiridis, Nikolaos Tziolas, Julia Yague and Daniel Žížala
affiliation not provided to SSRN, affiliation not provided to SSRN, Tel Aviv University, affiliation not provided to SSRN, affiliation not provided to SSRN, University of São Paulo (USP) - Department of Soil Science, affiliation not provided to SSRN, 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, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, Aristotle University of Thessaloniki, University of Florida, affiliation not provided to SSRN and Research Institute for Soil and Water Conservation
Downloads 133 (547,695)
Citation 5

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SOC content, Sentinel-2, temporal composite, soil parameter modelling, LUCAS soil, validation, European soil monitoring

2.

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)

Abstract:

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