UAS based tree species identification using the novel FPI based hyperspectral cameras in visible, nir and swir spectral ranges

R. Näsi, E. Honkavaara, S. Tuominen, Heikki Saari, I. Pölönen, T. Hakala, N. Viljanen, J. Soukkamäki, Ismo Näkki, Harri Ojanen, J. Reinikainen

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

16 Citations (Scopus)

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.
Original languageEnglish
Title of host publicationXXIII ISPRS Congress, Commission I
EditorsL. Halounova, V. Šafář, C.K. Toth, J. Karas, G. Huadong, N. Haala, A. Habib, P. Reinartz, X. Tang, J. Li, C. Armenakis, G. Grenzdörffer, P. le Roux, S. Stylianidis, R. Blasi, M. Menard, H. Dufourmont, Z. Li
PublisherCopernicus Publications
Pages1143-1148
DOIs
Publication statusPublished - 1 Jan 2016
MoE publication typeA4 Article in a conference publication
Event23rd ISPRS Congress - Prague, Czech Republic
Duration: 12 Jul 201619 Jul 2016

Publication series

SeriesInternational Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
VolumeXLI-B1
ISSN1682-1750

Conference

Conference23rd ISPRS Congress
Country/TerritoryCzech Republic
CityPrague
Period12/07/1619/07/16

Keywords

  • Hyperspectral
  • Photogrammetry
  • SWIR
  • Tree species
  • UAS

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