Sabine Grunwald

University of Florida

United States

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Articles (10)

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2024

Year:

2022

Year:

2022

Year:

2022

Year:

2022

Collaborators (6)

Ke Liu

University of Tasmania

AUSTRALIA

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Sabine Chabrillat

Professor in Digital Soil Mapping / Head at GFZ of the Hyperspectral remote sensing application Working Group

Leibniz University Hannover

GERMANY

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Eyal Ben-Dor

ISRAEL

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Bing Wang

Charles Sturt University

AUSTRALIA

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Katsutoshi Mizuta

Assistant Professor

University of Kentucky

UNITED STATES

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cecile Gomez

Institut de Recherche pour le Développement Délégation Régionale Occitanie

FRANCE

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Sabine Grunwald

Research Interests

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Articles (10)

Advancing Soil Organic Carbon Prediction: A Comprehensive Review of Technologies, AI, Process‐Based and Hybrid Modelling Approaches

Deep Learning-Based Short- and Mid-Term Surface and Subsurface Soil Moisture Projections from Remote Sensing and Digital Soil Maps

Elusive Notions of Bodhisattvas: Personified, Idealized, Mystified, Naturalized, and Integral

autoRA: An Algorithm to Automatically Delineate Reference Areas—A Case Study to Map Soil Classes in Bahia, Brazil

Surface and Subsurface Soil Moisture Estimation Using Fusion of SMAP, NLDAS-2, and SOLUS100 Data with Deep Learning

Multi-Sensor Soil Probe and Machine Learning Modeling for Predicting Soil Properties

Correction: Demattê et al. The Brazilian Soil Spectral Service (BraSpecS): A User-Friendly System for Global Soil Spectra Communication. <i>Remote Sens.</i> 2022, <i>14</i>, 740

The Brazilian Soil Spectral Service (BraSpecS): A User-Friendly System for Global Soil Spectra Communication

Reshaping How We Think about Soil Security

Predicting Soil Properties and Interpreting Vis-NIR Models from across Continental United States

Collaborators (6)

Ke Liu

Sabine Chabrillat

Eyal Ben-Dor

Bing Wang

Katsutoshi Mizuta

cecile Gomez

Make your next move.

Sabine Grunwald

Research Interests

Explore related searches

Contact this professor

Articles (10)

Advancing Soil Organic Carbon Prediction: A Comprehensive Review of Technologies, AI, Process‐Based and Hybrid Modelling Approaches

Deep Learning-Based Short- and Mid-Term Surface and Subsurface Soil Moisture Projections from Remote Sensing and Digital Soil Maps

Elusive Notions of Bodhisattvas: Personified, Idealized, Mystified, Naturalized, and Integral

autoRA: An Algorithm to Automatically Delineate Reference Areas—A Case Study to Map Soil Classes in Bahia, Brazil

Surface and Subsurface Soil Moisture Estimation Using Fusion of SMAP, NLDAS-2, and SOLUS100 Data with Deep Learning

Multi-Sensor Soil Probe and Machine Learning Modeling for Predicting Soil Properties

Correction: Dematt&ecirc; et al. The Brazilian Soil Spectral Service (BraSpecS): A User-Friendly System for Global Soil Spectra Communication. <i>Remote Sens.</i> 2022, <i>14</i>, 740

The Brazilian Soil Spectral Service (BraSpecS): A User-Friendly System for Global Soil Spectra Communication

Reshaping How We Think about Soil Security

Predicting Soil Properties and Interpreting Vis-NIR Models from across Continental United States

Collaborators (6)

Ke Liu

Sabine Chabrillat

Eyal Ben-Dor

Bing Wang

Katsutoshi Mizuta

cecile Gomez

Make your next move.

Correction: Demattê et al. The Brazilian Soil Spectral Service (BraSpecS): A User-Friendly System for Global Soil Spectra Communication. <i>Remote Sens.</i> 2022, <i>14</i>, 740