Luonnonvarakeskuksen julkaisut - Jukuri

Viitteet 1-2 / 2

Hyperspectral UAV-imagery and photogrammetric canopy height model in estimating forest stand variables

Tuominen, Sakari; Balazs, Andras; Honkavaara, Eija; Pölönen, Ilkka; Saari, Heikki; Hakala, Teemu; Viljanen, Niko
Silva Fennica : 5 (The Finnish Society of Forest Science, 2017)

Remote sensing using unmanned aerial vehicle (UAV) -borne sensors is currently a highly interesting approach for the estimation of forest characteristics. 3D remote sensing data from airborne laser scanning or digital ...
Tree species recognition in species rich area using UAV-borne hyperspectral imagery and stereo-photogrammetric point cloud

Tuominen, Sakari; Näsi, R.; Honkavaara, E.; Balazs, Andras; Hakala, T.; Viljanen, N.; Pölönen, I.; Saari, H.; Reinikainen, J.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci (ISPRS, 2017)

Recognition of tree species and geospatial information of tree species composition is essential for forest management. In this study we test tree species recognition using hyperspectral imagery from VNIR and SWIR camera ...