PeerJ Author 135 Points Contributions by role Author 135 Contributions by subject area Data Mining and Machine Learning Data Science Spatial and Geographic Information Science Chris J van Diemen PeerJ Author Summary Data Mining & Machine Learning Spatial & Geographic Information Science Spatial & Geographic Information Systems PeerJ Contributions Articles 1 July 21, 2022 A spatiotemporal ensemble machine learning framework for generating land use/land cover time-series maps for Europe (2000–2019) based on LUCAS, CORINE and GLAD Landsat Martijn Witjes, Leandro Parente, Chris J. van Diemen, Tomislav Hengl, Martin Landa, Lukáš Brodský, Lena Halounova, Josip Križan, Luka Antonić, Codrina Maria Ilie, Vasile Craciunescu, Milan Kilibarda, Ognjen Antonijević, Luka Glušica https://doi.org/10.7717/peerj.13573 PubMed 35891647
