Open AccessA 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
Author(s) -
Martijn Witjes,
Leandro Parente,
Chris J. van Diemen,
Tomislav Hengl,
Martin Landa,
Lukáš Brodský,
Lena Halounová,
Josip Križan,
Luka Antonić,
Codrina Ilie,
Vasile Crăciunescu,
Milan Kilibarda,
Ognjen Antonijević,
Luka Glušica
Publication year - 2022
Publication title -
peerj
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.927
H-Index - 70
ISSN - 2167-8359
DOI - 10.7717/peerj.13573
Subject(s) - land cover , random forest , computer science , preprocessor , series (stratigraphy) , time series , artificial intelligence , remote sensing , machine learning , cartography , land use , geography , geology , paleontology , civil engineering , engineering
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