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Next-generation hyperspectral remote sensing of forest health

  • Miina Rautiainen*
  • , Rocío Hernández-Clemente
  • , Matti Mõttus
  • , Alberto Hornero
  • *Corresponding author for this work
  • Aalto University
  • Universidad de Cordoba
  • Sustainable Agriculture Institute (IAS-CSIC)

Research output: Contribution to journalArticleScientificpeer-review

Original languageEnglish
Article number091002
JournalEnvironmental Research Letters
Volume21
Issue number9
DOIs
Publication statusPublished - May 2026
MoE publication typeA1 Journal article-refereed

Funding

We gratefully acknowledge funding from the Research Council of Finland (Grant. 374133), EU via Horizon Europe program (Grant 101187992), the European Space Agency’s Digital Twin Earth program, and support for the PROMOVE programme of the ‘la Caixa’ Foundation (PV20-00016), as well as the TREAD project (G-07-2024-5) funded by the European Forest Institute. RHC acknowledges the support received through a fellowship from the Ramon y Cajal Program (RYC2020-029187-I) of the Spanish Ministry of Science, Innovation, and Universities and D-TRAITS (PID2021-124058OA-I00) project.

Keywords

  • earth observation
  • plant traits
  • radiative transfer
  • spectroscopy

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