Possibilities of land use change analysis in a mountainous rural area: a methodological approach. - Szilárd Szabó; László Bertalan; Ágnes Kerekes; Tibor J. Novák (Int. J. Geogr. Inf. Sci., 2016)

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)

Building Extraction Using Orthophotos and Dense Point Cloud Derived from Visual Band Aerial Imagery Based on Machine Learning and Segmentation. - Aletta Dóra Schlosser; Gergely Szabó; László Bertalan; Zsolt Varga; Péter Enyedi; Szilárd Szabó (Remote. Sens., 2020)

UAV-based multispectral and thermal cameras to predict soil water content - A machine learning approach. - László Bertalan; Imre Holb; Angelika Pataki; Gábor Négyesi; Gergely Szabó; Annamária Kupásné Szalóki; Szilárd Szabó (Comput. Electron. Agric., 2022)

Remote Sensing of Riparian Ecosystems. - Milos Rusnák; Tomás Goga; Lukás Michaleje; Monika Sulc Michalková; Zdenek Mácka; László Bertalan; Anna Kidová (Remote. Sens., 2022)

Aquatic vegetation mapping with UAS-cameras considering phenotypes. - Loránd Szabó; László Bertalan; Gergely Szabó; István Grigorszky; Imre Somlyai; György Dévai; Sándor Alex Nagy; Imre J. Holb; Szilárd Szabó (Ecol. Informatics, 2024)

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)