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Thomas Jagdhuber

affiliation not provided to SSRN

SCHOLARLY PAPERS

6

DOWNLOADS

409

TOTAL CITATIONS

0

Scholarly Papers (6)

1.

Multi-Sensor Drone Fleet for Soil and Crop Analyses: Integrating Gpr, Sar, Lidar, Multispectral and Infrared Imaging

Number of pages: 41 Posted: 08 Feb 2025
UCLouvain, UCLouvain, affiliation not provided to SSRN, affiliation not provided to SSRN, Forschungszentrum Jülich GmbH, UCLouvain, 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 and affiliation not provided to SSRN
Downloads 160 (477,517)

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drone-based remote sensing, UAV, multi-sensor integration, radar, multispectral imaging, thermal infrared, LiDAR, ground-penetrating radar, soil moisture mapping, crop monitoring, precision agriculture

2.

Global Droughts are More Severe than They Appear in Hydrological Models: An Investigation Through a Bayesian Merging of Grace and Grace-Fo Data into a Water Balance Model

Number of pages: 38 Posted: 16 Jun 2023
Aalborg University Hospital, Aalborg University, Aalborg University, Aalborg University, affiliation not provided to SSRN, University of Tehran, The Australian National University, University College London and Independent
Downloads 69 (883,195)

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Droughts, Large Scale Hydrology, GRACE/GRACE-FO, Underestimation, Drought Indices, Bayesian Data Assimilation

3.

Simultaneous Estimation of Soil Moisture and Soil Organic Matter from Dielectric Measurements - Part 1: Optimal Estimation Strategy

Number of pages: 49 Posted: 02 Apr 2025 Last Revised: 04 May 2026
Ajou University, University of Wisconsin-Madison, University of Wisconsin-Madison, Government of the United States of America - Jet Propulsion Laboratory, affiliation not provided to SSRN, affiliation not provided to SSRN, University of Virginia, USDA Agricultural Research Service, University of Guelph and affiliation not provided to SSRN
Downloads 60 (970,490)

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Carbon Sequestration, Optimal Estimation, Dielectric Mixing Model, Soil Mostiure, Soil Organic Matter, Prescision Agriculture

4.

Simultaneous Estimation of Soil Moisture and Soil Organic Matter from in Situ Dielectric - Part 2: Application of Optimal Estimation and Machine Learning Approaches

Number of pages: 46 Posted: 02 Apr 2025 Last Revised: 04 May 2026
Ajou University, University of Wisconsin-Madison, University of Wisconsin-Madison, affiliation not provided to SSRN, affiliation not provided to SSRN, Government of the United States of America - Jet Propulsion Laboratory, Yonsei University, University of Virginia, University of Guelph and affiliation not provided to SSRN
Downloads 60 (980,173)

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carbon sequestration, carbon farming, smartfarm, soil moisture, soil organic matter, machine learning

5.

Simultaneous Estimation of Soil Moisture and Soil Organic Matter from in situ Dielectric Measurements - Part 1: Optimal Estimation Strategy

Number of pages: 92 Posted: 20 Jan 2026
Ajou University, University of Wisconsin-Madison, University of Wisconsin-Madison, Government of the United States of America - Jet Propulsion Laboratory, affiliation not provided to SSRN, affiliation not provided to SSRN, University of Virginia, USDA Agricultural Research Service, University of Guelph and affiliation not provided to SSRN
Downloads 35 (1,290,922)

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Soil moisture, Soil organic matter, Optimal estimation, Dielectric mixing model, Prior perturbation

6.

Simultaneous Estimation of Soil Moisture and Soil Organic Matter from in situ Dielectric - Part 2: Application of Optimal Estimation and Machine Learning Approaches

Number of pages: 92 Posted: 20 Jan 2026
Ajou University, University of Wisconsin-Madison, University of Wisconsin-Madison, affiliation not provided to SSRN, affiliation not provided to SSRN, Government of the United States of America - Jet Propulsion Laboratory, Yonsei University, University of Virginia, University of Guelph and affiliation not provided to SSRN
Downloads 25 (1,424,331)

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Soil organic matter (SOM), Soil moisture (SM), Optimal estimation (OE), Machine learning (ML), MRV (Measurement-Reporting-Verification)