A1 Journal article (refereed)
Hyperspectral UAV-imagery and photogrammetric canopy height model in estimating forest stand variables (2017)

Tuominen, S., Balazs, A., Honkavaara, E., Pölönen, I., Saari, H., Hakala, T., & Viljanen, N. (2017). Hyperspectral UAV-imagery and photogrammetric canopy height model in estimating forest stand variables. Silva Fennica, 51(5), Article 7721. https://doi.org/10.14214/sf.7721

JYU authors or editors

Publication details

All authors or editors: Tuominen, Sakari; Balazs, Andras; Honkavaara, Eija; Pölönen, Ilkka; Saari, Heikki; Hakala, Teemu; Viljanen, Niko

Journal or series: Silva Fennica

ISSN: 0037-5330

eISSN: 2242-4075

Publication year: 2017

Volume: 51

Issue number: 5

Article number: 7721

Publisher: Suomen metsätieteellinen seura

Place of Publication: Helsinki

Publication country: Finland

Publication language: Finnish

DOI: https://doi.org/10.14214/sf.7721

Publication open access: Openly available

Publication channel open access: Open Access channel

Publication is parallel published (JYX): https://jyx.jyu.fi/handle/123456789/55555

Keywords: forests; variables; photogrammetry

Free keywords: aerial imagery; hyperspectral imaging; forest inventory; radiometric calibration; UAVs; digital photogrammetry; stereo-photogrammetric canopy modelling

Contributing organizations

Ministry reporting: Yes

Reporting Year: 2017

JUFO rating: 1