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) -
Yu-Feng Ho,
Leandro Parente,
Chris J. van Diemen,
Tomislav Hengl,
Martin Landa,
Lukáš Brodský,
Lena Halounová,
Josip Križan,
Luka Antonić,
Codrina M Ilie,
Vasile Crǎciunescu,
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 , artificial intelligence , series (stratigraphy) , time series , remote sensing , pattern recognition (psychology) , machine learning , land use , geography , geology , paleontology , civil engineering , engineering