Ground Observations and Environmental Covariates Integration for Mapping of Soil Salinity: A Machine Learning-Based Approach. - Salman Naimi; Shamsollah Ayoubi; Mojtaba Zeraatpisheh; José Alexandre Melo Demattê (Remote. Sens., 2021)

The Brazilian Soil Spectral Service (BraSpecS): A User-Friendly System for Global Soil Spectra Communication. - José Alexandre Melo Demattê; Ariane Francine da Silveira Paiva; Raúl Roberto Poppiel; Nícolas Augusto Rosin; Luis Fernando Chimelo Ruiz; Fellipe Alcantara de Oliveira Mello; Budiman Minasny; Sabine Grunwald; Yufeng Ge; Eyal Ben-Dor; Asa Gholizadeh; Cécile Gomez; et al. (Remote. Sens., 2022)

Correction: Demattê et al. The Brazilian Soil Spectral Service (BraSpecS): A User-Friendly System for Global Soil Spectra Communication. Remote Sens. 2022. 14, 740. - José Alexandre Melo Demattê; Ariane Francine da Silveira Paiva; Raúl Roberto Poppiel; Nícolas Augusto Rosin; Luis Fernando Chimelo Ruiz; Fellipe Alcantara de Oliveira Mello; Budiman Minasny; Sabine Grunwald; Yufeng Ge; Eyal Ben-Dor; Asa Gholizadeh; Cécile Gomez; et al. (Remote. Sens., 2022)

Comparison of Different Machine Learning Methods for Predicting Cation Exchange Capacity Using Environmental and Remote Sensing Data. - Sanaz Saidi; Shamsollah Ayoubi; Mehran Shirvani; Kamran Azizi; Mojtaba Zeraatpisheh (Sensors, 2022)

Digital mapping of soil phosphorous sorption parameters (PSPs) using environmental variables and machine learning algorithms. - Sanaz Saidi; Shamsollah Ayoubi; Mehran Shirvani; Kamran Azizi; Shuai Zhao (Int. J. Digit. Earth, 2023)