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Songchao Chen

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Professor

Zhejiang University

China

Research Interests

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Recent Grants

Grant: Close

Spaital modelling of soil organic carbon and fractions in cropland: trade off between map accuracy and economic cost

Open Date: 2023-01-01

Close Date: 2025-12-01

Grant: Close

High Resolution Soil Property Maps for the GlobalSoilMap by Combining DSM Approaches with Soil Legacy Information

Open Date: 2017-01-01

Close Date: 2019-12-01

Articles (20)

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Collaborators (12)

Ioannis Zafeiriou

Agricultural University of Athens

GREECE

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Raphael VISCARRA ROSSEL

Professor, Soil and Landscape Science

Curtin University

AUSTRALIA

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Martin Brandt

Københavns Universitet

DENMARK

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Yash Dang

Principal Research Fellow

University of Queensland

AUSTRALIA

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Asim Biswas

Professor

University of Guelph

CANADA

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Felipe Yunta

Assistant Professor

Universidad Autónoma de Madrid

SPAIN

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Yushu Xia

Lamont Assistant Research Professor

Columbia University

UNITED STATES

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Budiman Minasny

Professor

University of Sydney

AUSTRALIA

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Jinran Wu

Queensland University of Technology

AUSTRALIA

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Daniel Evans

Lecturer in Soil Formation

Cranfield University

UNITED KINGDOM

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Yang Su

Researcher

École Normale Supérieure - PSL

FRANCE

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Tong Li

University of Queensland

AUSTRALIA

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ApplyKite TwinLearns as you apply

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Songchao Chen

Research Interests

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Recent Grants

Articles (20)

Mid-Infrared spectroscopy for soil organic carbon estimation. Part I: Global review and meta-analysis

Soil Diversity and Climate: An Overview of Profile Data and Acquisition With the <scp>WoSIS</scp> Global Legacy Dataset

Soil Profiles: A Window Into Soil Genesis and Degradation

Substantial contribution of trees outside forests to above-ground carbon across China

Integrating soil spectral libraries with laboratory hyperspectral imaging for profile organic carbon prediction in paddy soils

Prediction of Soil Organic Matter Using Visible–Near‐Infrared Spectroscopy Combined With Textural Hand‐Feel Determination

Illusions of Accuracy: Widespread Data Leakage Distorts Machine Learning Results in Biochar Research

Explicit depth representation improves the 3D modelling of soil carbon to nitrogen ratio in croplands

Synergizing multi-collocation fusion and spatiotemporal deep learning to enhance global soil moisture memory characterization

Replacing Yield Detrending with Direct Spatiotemporal Inputs Improves LSTM-Based Rice Yield Estimation

A novel sample selection strategy for instance-based transfer learning in local soil organic carbon estimation

Spatial Modelling and Drivers of the Sum of Absorbed Bases in Agroecosystems Using Explainable Machine Learning

A Preliminary Comparison of SOC Storage Between the Traditional Farmland and Well‐Facilitated Farmland Management

Enhancing Digital Mapping of Soil Organic Matter in Cropland With Bayesian‐Machine Learning Synergy

Low-Cost Portable Near-Infrared Spectroscopy for Predicting Soil Properties in Paddy Fields of Southeastern China

Optimal Calibration Sizes for Predicting Soil Properties Using Vis‐NIR Spectra Across Scales

Path to robust digital mapping of soil C:N ratio: geographic bias and uncertainty gap

Estimation of soil inorganic carbon using simulated satellite multispectral data and environmental covariates in arid oases of southern Xinjiang, China

Modelling spatio-temporal dynamics of soil organic carbon in paddy soil by coupling digital soil mapping with a process model

Soil Knowledge-Guided Depth-Autoregressive Transformer for Predicting Soil Organic Carbon at Multiple Depths

Collaborators (12)

Ioannis Zafeiriou

Raphael VISCARRA ROSSEL

Martin Brandt

Yash Dang

Asim Biswas

Felipe Yunta

Yushu Xia

Budiman Minasny

Jinran Wu

Daniel Evans

Yang Su

Tong Li

Make your next move.