GRASS GIS: A multi-purpose open source GIS. - Markus Neteler; M. Hamish Bowman; Martin Landa; Markus Metz (Environ. Model. Softw., 2012)

Spatio-ecological complexity measures in GRASS GIS. - Duccio Rocchini; Vaclav Petras; Anna Petrasova; Yann Chemin; Carlo Ricotta; Alessandro Frigeri; Martin Landa; Matteo Marcantonio; Lucy Bastin; Markus Metz; Luca Delucchi; Markus Neteler (Comput. Geosci., 2017)

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)

Redesigning Graphical User Interface of Open-Source Geospatial Software in a Community-Driven Way: A Case Study of GRASS GIS. - Linda Karlovska; Anna Petrasova; Vaclav Petras; Martin Landa (ISPRS Int. J. Geo Inf., 2023)

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