A1 Journal article (refereed)
Coupling high-resolution satellite imagery with ALS-based canopy height model and digital elevation model in object-based boreal forest habitat type classification (2014)

Räsänen, A., Kuitunen, M., Tomppo, E., & Lensu, A. (2014). Coupling high-resolution satellite imagery with ALS-based canopy height model and digital elevation model in object-based boreal forest habitat type classification. ISPRS Journal of Photogrammetry and Remote Sensing, 94(August 2014), 169-182. https://doi.org/10.1016/j.isprsjprs.2014.05.003

JYU authors or editors

Publication details

All authors or editors: Räsänen, Aleksi; Kuitunen, Markku; Tomppo, Erkki; Lensu, Anssi

Journal or series: ISPRS Journal of Photogrammetry and Remote Sensing

ISSN: 0924-2716

eISSN: 1872-8235

Publication year: 2014

Volume: 94

Issue number: August 2014

Pages range: 169–182

Publisher: Elsevier BV

Place of Publication: Amsterdam

Publication country: Netherlands

Publication language: English

DOI: https://doi.org/10.1016/j.isprsjprs.2014.05.003

Persistent website address: http://www.sciencedirect.com/science/article/pii/S092427161400121X

Publication open access: Not open

Publication channel open access: 

Publication is parallel published (JYX): https://jyx.jyu.fi/handle/123456789/43899

Keywords: forest types; biology

Free keywords: boreal forest; forest classifier

Contributing organizations

Ministry reporting: Yes

Reporting Year: 2014

JUFO rating: 2