Thorsten Behrens

Head

Switzerland

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Thorsten Behrens is the Head of the Swiss Competence Center for Soil in Switzerland. His research primarily focuses on soil spectroscopy, soil property mapping, and the environmental factors influencing soil ecosystems. Recent publications include studies on soil carbon monitoring, predictive modeling of soil properties, and the impacts of climate change on soil emissions. His contributions to the field aim to enhance understanding and management of soil resources in varying environmental contexts.

Articles (10)

Year:

2024

Year:

2024

Year:

2024

Year:

2022

Year:

2022

Year:

2022

Year:

2022

Year:

2022

Year:

2022

Year:

2021

Collaborators (8)

Karsten Schmidt

University of Bern

SWITZERLAND

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Raphael VISCARRA ROSSEL

Professor, Soil and Landscape Science

Curtin University

AUSTRALIA

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Juhwan Lee

Assistant Professor

Gyeongsang National University

SOUTH KOREA

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Brandon Heung

Assistant Professor

Dalhousie University

CANADA

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Lewis Walden

Curtin University

AUSTRALIA

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mingxi zhang

AUSTRALIA

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cecile Gomez

Institut de Recherche pour le Développement Délégation Régionale Occitanie

FRANCE

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Yongze Song

Senior Lecturer

Curtin University

AUSTRALIA

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Thorsten Behrens

Research Interests

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About

Articles (10)

Exploiting Soil and Remote Sensing Data Archives for 3D Mapping of Multiple Soil Properties at the Swiss National Scale

A warming climate will make Australian soil a net emitter of atmospheric CO2

An imperative for soil spectroscopic modelling is to think global but fit local with transfer learning

Deep transfer learning of global spectra for local soil carbon monitoring

Modelling soil water retention and water‐holding capacity with visible–near‐infrared spectra and machine learning

Soil spectroscopy with the Gaussian pyramid scale space

Diffuse reflectance spectroscopy for estimating soil properties: A technology for the 21st century

Environmental controls of soil fungal abundance and diversity in Australia's diverse ecosystems

Contextual spatial modelling in the horizontal and vertical domains

Improving the spatial prediction of soil salinity in arid regions using wavelet transformation and support vector regression models

Collaborators (8)

Karsten Schmidt

Raphael VISCARRA ROSSEL

Juhwan Lee

Brandon Heung

Lewis Walden

mingxi zhang

cecile Gomez

Yongze Song

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