Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B1, 1143-1148, 2016
https://doi.org/10.5194/isprs-archives-XLI-B1-1143-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
 
06 Jun 2016
UAS BASED TREE SPECIES IDENTIFICATION USING THE NOVEL FPI BASED HYPERSPECTRAL CAMERAS IN VISIBLE, NIR AND SWIR SPECTRAL RANGES
R. Näsi1, E. Honkavaara1, S. Tuominen2, H. Saari3, I. Pölönen4, T. Hakala1, N. Viljanen1, J. Soukkamäki5, I. Näkki3, H. Ojanen3, and J. Reinikainen6 1Department of Remote Sensing and Photogrammetry, Finnish Geospatial Research Institute, Geodeetinrinne 2, FI-02430 Masala, Finland
2Natural Resources Institute Finland (Luke), PO Box 18, FI-01301 Vantaa, Finland
3VTT Microelectronics, P.O.Box 1000, FI-02044 VTT, Finland
4Department of Mathematical Information Tech., University of Jyväskylä, P.O.Box 35, FI-40014, Jyväskylä, Finland
5Rikola Ltd, Kaitoväylä 1F2, FI-90590, Oulu, Finland
6Arboretum Mustila Foundation, Mustilantie 57, FI-47200 Elimäki, Finland
Keywords: UAS, Hyperspectral, Photogrammetry, SWIR, Tree Species Abstract. Unmanned airborne systems (UAS) based remote sensing offers flexible tool for environmental monitoring. Novel lightweight Fabry-Perot interferometer (FPI) based, frame format, hyperspectral imaging in the spectral range from 400 to 1600 nm was used for identifying different species of trees in a forest area. To the best of the authors’ knowledge, this was the first research where stereoscopic, hyperspectral VIS, NIR, SWIR data is collected for tree species identification using UAS. The first results of the analysis based on fusion of two FPI-based hyperspectral imagers and RGB camera showed that the novel FPI hyperspectral technology provided accurate geometric, radiometric and spectral information in a forested scene and is operational for environmental remote sensing applications.
Conference paper (PDF, 1065 KB)


Citation: Näsi, R., Honkavaara, E., Tuominen, S., Saari, H., Pölönen, I., Hakala, T., Viljanen, N., Soukkamäki, J., Näkki, I., Ojanen, H., and Reinikainen, J.: UAS BASED TREE SPECIES IDENTIFICATION USING THE NOVEL FPI BASED HYPERSPECTRAL CAMERAS IN VISIBLE, NIR AND SWIR SPECTRAL RANGES, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B1, 1143-1148, https://doi.org/10.5194/isprs-archives-XLI-B1-1143-2016, 2016.

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