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
VIRTA submission year: 2014
JUFO rating: 2