Digital mapping of soil salinity with time-windows features optimization and ensemble learning model.

Evaluating the Soil Quality Index Using Three Methods to Assess Soil Fertility.

A two-dimensional bare soil separation framework using multi-temporal Sentinel-2 images across China.

Fine Resolution Mapping of Soil Organic Carbon in Croplands with Feature Selection and Machine Learning in Northeast Plain China.

A comparison of multiple deep learning methods for predicting soil organic carbon in Southern Xinjiang, China.

Comparison of Depth-Specific Prediction of Soil Properties: MIR vs. Vis-NIR Spectroscopy.

Future changes and driving factors of global peak vegetation growth based on CMIP6 simulations.

Remote Sensing Data for Digital Soil Mapping in French Research - A Review.

Sentinel-2 and Sentinel-1 Bare Soil Temporal Mosaics of 6-year Periods for Soil Organic Carbon Content Mapping in Central France.

Prediction of Soil Properties in a Field in Typical Black Soil Areas Using in situ MIR Spectra and Its Comparison with vis-NIR Spectra.

Exploring the Potential of vis-NIR Spectroscopy as a Covariate in Soil Organic Matter Mapping.

Towards Optimal Variable Selection Methods for Soil Property Prediction Using a Regional Soil Vis-NIR Spectral Library.

Global Soil Salinity Prediction by Open Soil Vis-NIR Spectral Library.

Digital Mapping of Soil Organic Carbon with Machine Learning in Dryland of Northeast and North Plain China.

Comparing Two Different Development Methods of External Parameter Orthogonalization for Estimating Organic Carbon from Field-Moist Intact Soils by Reflectance Spectroscopy.

Evaluation of Optimized Preprocessing and Modeling Algorithms for Prediction of Soil Properties Using VIS-NIR Spectroscopy.

Fine-Resolution Mapping of Soil Total Nitrogen across China Based on Weighted Model Averaging.

Rapid Determination of Soil Class Based on Visible-Near Infrared, Mid-Infrared Spectroscopy and Data Fusion.

Improved Mapping of Potentially Toxic Elements in Soil via Integration of Multiple Data Sources and Various Geostatistical Methods.

Evaluation of Machine Learning Approaches to Predict Soil Organic Matter and pH Using vis-NIR Spectra.

Satellite data integration for soil clay content modelling at a national scale.

Assessment of important soil properties related to Chinese Soil Taxonomy based on vis-NIR reflectance spectroscopy.

Potential of VIS-NIR-SWIR Spectroscopy from the Chinese Soil Spectral Library for Assessment of Nitrogen Fertilization Rates in the Paddy-Rice Region, China.