pyjeo: A Python Package for the Analysis of Geospatial Data. - Pieter Kempeneers; Ondrej Pesek; Davide De Marchi; Pierre Soille (ISPRS Int. J. Geo Inf., 2019)

SatImNet: Structured and Harmonised Training Data for Enhanced Satellite Imagery Classification. - Vasileios Syrris; Ondrej Pesek; Pierre Soille (Remote. Sens., 2020)

Space-Time Machine Learning Models to Analyze COVID-19 Pandemic Lockdown Effects on Aerosol Optical Depth over Europe. - Saleem Ibrahim; Martin Landa; Ondrej Pesek; Karel Pavelka; Lena Halounová (Remote. Sens., 2021)

Open Geospatial System for LUCAS In Situ Data Harmonization and Distribution. - Martin Landa; Lukás Brodský; Lena Halounová; Tomás Boucek; Ondrej Pesek (ISPRS Int. J. Geo Inf., 2022)

Machine Learning-Based Approach Using Open Data to Estimate PM2.5 over Europe. - Saleem Ibrahim; Martin Landa; Ondrej Pesek; Lukás Brodský; Lena Halounová (Remote. Sens., 2022)

Using Convolutional Neural Networks for Cloud Detection on VENμS Images over Multiple Land-Cover Types. - Ondrej Pesek; Michal Segal-Rozenhaimer; Arnon Karnieli (Remote. Sens., 2022)

Spatial and spectral analysis of fairy circles in Namibia on a landscape scale using satellite image processing and machine learning analysis. - Klil Noy; Micha Silver; Ondrej Pesek; Hezi Yizhaq; Eugene Marais; Arnon Karnieli (Int. J. Appl. Earth Obs. Geoinformation, 2023)

Corrigendum to "Spatial and spectral analysis of fairy circles in namibia on a landscape scale using satellite image processing and machine learning analysis" [Int. J. Appl. Earth Observ. Geoinform. 121 (2023) 103377]. - Klil Noy; Micha Silver; Ondrej Pesek; Hezi Yizhaq; Eugene Marais; Arnon Karnieli (Int. J. Appl. Earth Obs. Geoinformation, 2024)

Convolutional neural networks for road surface classification on aerial imagery. - Ondrej Pesek; Lina Krisztian; Martin Landa; Markus Metz; Markus Neteler (PeerJ Comput. Sci., 2024)