Domain Generalization in Deep Learning for Forest Health Monitoring Using Multispectral UAS Data

Turkulainen, Emma; Oliveira, Raquel Alves; Koivumäki, Niko; Lyytikäinen-Saarenmaa, Päivi; Näsi, Roope; Pelto-Arvo, Mikko; Tuviala, Johanna; Honkavaara, Eija

doi:https://doi.org/10.5194/isprs-archives-XLVIII-2-W11-2025-285-2025

Articles | Volume XLVIII-2/W11-2025

https://doi.org/10.5194/isprs-archives-XLVIII-2-W11-2025-285-2025

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/isprs-archives-XLVIII-2-W11-2025-285-2025

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume XLVIII-2/W11-2025

30 Oct 2025

| 30 Oct 2025

Domain Generalization in Deep Learning for Forest Health Monitoring Using Multispectral UAS Data

Emma Turkulainen, Raquel Alves Oliveira, Niko Koivumäki, Päivi Lyytikäinen-Saarenmaa, Roope Näsi, Mikko Pelto-Arvo, Johanna Tuviala, and Eija Honkavaara

Metrics will be available soon.

Latest update: 30 Oct 2025

The International Society for Photogrammetry and Remote Sensing is a non-governmental organization devoted to the development of international cooperation for the advancement of photogrammetry and remote sensing and their applications. The Society operates without any discrimination on grounds of race, religion, nationality, or political philosophy.

Useful Links

Useful External Links

Our Contact

ISPRS
c/o
Leibniz University Hannover
Institute of Photogrammetry and GeoInformation
Nienburger Str. 1
D-30167 Hannover
GERMANY
Email: isprs-sg@isprs.org