Machine Learning for Gully Feature Extraction Based on a Pan-Sharpened Multispectral Image: Multiclass vs. Binary Approach. - Kwanele Phinzi; Dávid Abriha; László Bertalan; Imre Holb; Szilárd Szabó (ISPRS Int. J. Geo Inf., 2020)

Classification Efficacy Using K-Fold Cross-Validation and Bootstrapping Resampling Techniques on the Example of Mapping Complex Gully Systems. - Kwanele Phinzi; Dávid Abriha; Szilárd Szabó (Remote. Sens., 2021)

Understanding the role of training sample size in the uncertainty of high-resolution LULC mapping using random forest. - Kwanele Phinzi; Njoya Silas Ngetar; Quoc Bao Pham; Gashaw Gismu Chakilu; Szilárd Szabó (Earth Sci. Informatics, 2023)

Improving the spatial prediction of topsoil properties in a typical grazing area using multi-season PlanetScope spectral covariates and data mining techniques. - Kwanele Phinzi; László Bertalan; Gashaw Gismu Chakilu; Szilárd Szabó (Earth Sci. Informatics, 2025)