Songchao Chen
Orcid: 0000-0003-1245-0482
According to our database1,
Songchao Chen
authored at least 21 papers
between 2015 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Sensors, February, 2024
2023
Fine Resolution Mapping of Soil Organic Carbon in Croplands with Feature Selection and Machine Learning in Northeast Plain China.
Remote. Sens., October, 2023
A comparison of multiple deep learning methods for predicting soil organic carbon in Southern Xinjiang, China.
Comput. Electron. Agric., September, 2023
Comparison of Depth-Specific Prediction of Soil Properties: MIR vs. Vis-NIR Spectroscopy.
Sensors, July, 2023
Future changes and driving factors of global peak vegetation growth based on CMIP6 simulations.
Ecol. Informatics, July, 2023
Remote. Sens., June, 2023
Sentinel-2 and Sentinel-1 Bare Soil Temporal Mosaics of 6-year Periods for Soil Organic Carbon Content Mapping in Central France.
Remote. Sens., May, 2023
Prediction of Soil Properties in a Field in Typical Black Soil Areas Using in situ MIR Spectra and Its Comparison with vis-NIR Spectra.
Remote. Sens., April, 2023
Exploring the Potential of vis-NIR Spectroscopy as a Covariate in Soil Organic Matter Mapping.
Remote. Sens., March, 2023
Towards Optimal Variable Selection Methods for Soil Property Prediction Using a Regional Soil Vis-NIR Spectral Library.
Remote. Sens., January, 2023
2022
Remote. Sens., 2022
Digital Mapping of Soil Organic Carbon with Machine Learning in Dryland of Northeast and North Plain China.
Remote. Sens., 2022
Comparing Two Different Development Methods of External Parameter Orthogonalization for Estimating Organic Carbon from Field-Moist Intact Soils by Reflectance Spectroscopy.
Remote. Sens., 2022
2021
Evaluation of Optimized Preprocessing and Modeling Algorithms for Prediction of Soil Properties Using VIS-NIR Spectroscopy.
Sensors, 2021
2020
Fine-Resolution Mapping of Soil Total Nitrogen across China Based on Weighted Model Averaging.
Remote. Sens., 2020
Rapid Determination of Soil Class Based on Visible-Near Infrared, Mid-Infrared Spectroscopy and Data Fusion.
Remote. Sens., 2020
Improved Mapping of Potentially Toxic Elements in Soil via Integration of Multiple Data Sources and Various Geostatistical Methods.
Remote. Sens., 2020
2019
Evaluation of Machine Learning Approaches to Predict Soil Organic Matter and pH Using vis-NIR Spectra.
Sensors, 2019
Int. J. Appl. Earth Obs. Geoinformation, 2019
2018
Assessment of important soil properties related to Chinese Soil Taxonomy based on vis-NIR reflectance spectroscopy.
Comput. Electron. Agric., 2018
2015
Potential of VIS-NIR-SWIR Spectroscopy from the Chinese Soil Spectral Library for Assessment of Nitrogen Fertilization Rates in the Paddy-Rice Region, China.
Remote. Sens., 2015