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Peer-reviewedCC BY-NC-ND 4.0Scientific Reports

Entropy guided spectral phenological feature engineering using Sentinel-2A data for Pan-Arctic vegetation classification

  • Sihui Huo
  • Yanmin Shuai
  • Ge Qu
  • Xianwei Ma
  • Saheed Adeyinka Oke
  • Rogério Borguete A. Rafaelg
Open at sourcePDFDOICite

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Cite

BibTeXRIS
BibTeX
@article{huo2026entropy,
  title = {{Entropy guided spectral phenological feature engineering using Sentinel-2A data for Pan-Arctic vegetation classification}},
  author = {Sihui Huo and Yanmin Shuai and Ge Qu and Xianwei Ma and Saheed Adeyinka Oke and Rogério Borguete A. Rafaelg},
  journal = {Scientific Reports},
  year = {2026},
  month = oct,
  doi = {10.1038/s41598-026-75167-y},
  url = {https://www.nature.com/articles/s41598-026-75167-y},
  note = {CC BY-NC-ND 4.0},
}
RIS
TY  - JOUR
TI  - Entropy guided spectral phenological feature engineering using Sentinel-2A data for Pan-Arctic vegetation classification
AU  - Sihui Huo
AU  - Yanmin Shuai
AU  - Ge Qu
AU  - Xianwei Ma
AU  - Saheed Adeyinka Oke
AU  - Rogério Borguete A. Rafaelg
PY  - 2026
DA  - 2026/10/24
JO  - Scientific Reports
DO  - 10.1038/s41598-026-75167-y
UR  - https://www.nature.com/articles/s41598-026-75167-y
SN  - 2045-2322
ER  -