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.
- DOI
- 10.7717/peerj.13573
- Published
- 2022
- Container
- PeerJ
- Publisher
- Not recorded
- Open access
- yes
Credibility signals
uncertain Score 53/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
Show all credibility signals
- cautionDOI registered: No matching Crossref record was present in this response.
- cautionDOI resolves: No matching Crossref record was present in this response.
- supportingDirectory of Open Access Journals: A matching record was returned by DOAJ.
- not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made.
- not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made.
- not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made.
- not scoredROR affiliation: Not checked or no result supplied; no credibility inference made.
- not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- supportingOpen access status: Normalized open-access status: open.
- not scoredPublication license: Not checked or no result supplied; no credibility inference made.
- not scoredPublication version: A publication version was supplied but is not scored.
- cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty.
Cite this work
BibTeX
@article{allodium:10.7717/peerj.13573,
title = {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.},
author = {Witjes M and Parente L and van Diemen CJ and Hengl T and Landa M and Brodský L and Halounova L and Križan J and Antonić L and Ilie CM and Craciunescu V and Kilibarda M and Antonijević O and Glušica L},
year = {2022},
journal = {PeerJ},
doi = {10.7717/peerj.13573},
url = {https://doi.org/10.7717/peerj.13573}
}RIS
TY - JOUR TI - 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. AU - Witjes M AU - Parente L AU - van Diemen CJ AU - Hengl T AU - Landa M AU - Brodský L AU - Halounova L AU - Križan J AU - Antonić L AU - Ilie CM AU - Craciunescu V AU - Kilibarda M AU - Antonijević O AU - Glušica L PY - 2022 JO - PeerJ DO - 10.7717/peerj.13573 UR - https://doi.org/10.7717/peerj.13573 ER -
APA
M, W., L, P., CJ, V. D., T, H., M, L., L, B., L, H., J, K., L, A., CM, I., V, C., M, K., O, A., & L, G. (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.. PeerJ. https://doi.org/10.7717/peerj.13573
Source records
- pubmed · retrieved 2026-09-25T08:23:26.698Z
- europe-pmc · retrieved 2026-09-25T08:23:26.718Z
- doaj · retrieved 2026-09-25T08:23:26.719Z