Key features of applying unsupervised classification for monitoring spatiotemporal dynamics of landscape cover under conditions of an ecological disaster.

Lisovets O, Tutova H, Kunakh O, Zhukov O.

Open source

DOI: 10.7717/peerj.21869
Published: 2026-10-27
Container: PeerJ
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.7717/peerj.21869,
  title = {Key features of applying unsupervised classification for monitoring spatiotemporal dynamics of landscape cover under conditions of an ecological disaster.},
  author = {Lisovets O and  Tutova H and  Kunakh O and  Zhukov O.},
  year = {2026},
  journal = {PeerJ},
  doi = {10.7717/peerj.21869},
  url = {https://doi.org/10.7717/peerj.21869}
}

RIS

TY  - JOUR
TI  - Key features of applying unsupervised classification for monitoring spatiotemporal dynamics of landscape cover under conditions of an ecological disaster.
AU  - Lisovets O
AU  -  Tutova H
AU  -  Kunakh O
AU  -  Zhukov O.
PY  - 2026
JO  - PeerJ
DO  - 10.7717/peerj.21869
UR  - https://doi.org/10.7717/peerj.21869
ER  -

APA

O, L., H, T., O, K., & O., Z. (2026). Key features of applying unsupervised classification for monitoring spatiotemporal dynamics of landscape cover under conditions of an ecological disaster.. PeerJ. https://doi.org/10.7717/peerj.21869

Source records

europe-pmc · retrieved 2026-11-10T07:18:25.302Z
doaj · retrieved 2026-11-10T07:18:25.282Z