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 language | English |
|---|---|
| Title of host publication | XXIII ISPRS Congress, Commission I |
| Publisher | International Society for Photogrammetry and Remote Sensing ISPRS |
| Pages | 1143-1148 |
| DOIs | |
| Publication status | Published - 1 Jan 2016 |
| MoE publication type | A4 Article in a conference publication |
| Event | 23rd International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Congress, ISPRS 2016 - Prague, Czech Republic Duration: 12 Jul 2016 → 19 Jul 2016 |
Publication series
| Name | International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives |
|---|---|
| ISSN (Print) | 1682-1750 |
Conference
| Conference | 23rd International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Congress, ISPRS 2016 |
|---|---|
| Country | Czech Republic |
| City | Prague |
| Period | 12/07/16 → 19/07/16 |
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Keywords
- Hyperspectral
- Photogrammetry
- SWIR
- Tree species
- UAS
Cite this
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Uas based tree species identification using the novel fpi based hyperspectral cameras in visible, nir and swir spectral ranges. / Näsi, R.; Honkavaara, E.; Tuominen, S.; Saari, H.; Pölönen, I.; Hakala, T.; Viljanen, N.; Soukkamäki, J.; Näkki, I.; Ojanen, H.; Reinikainen, J.
XXIII ISPRS Congress, Commission I. International Society for Photogrammetry and Remote Sensing ISPRS, 2016. p. 1143-1148 (International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol. XLI-B1).Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review
TY - GEN
T1 - Uas based tree species identification using the novel fpi based hyperspectral cameras in visible, nir and swir spectral ranges
AU - Näsi, R.
AU - Honkavaara, E.
AU - Tuominen, S.
AU - Saari, H.
AU - Pölönen, I.
AU - Hakala, T.
AU - Viljanen, N.
AU - Soukkamäki, J.
AU - Näkki, I.
AU - Ojanen, H.
AU - Reinikainen, J.
PY - 2016/1/1
Y1 - 2016/1/1
N2 - 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.
AB - 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.
KW - Hyperspectral
KW - Photogrammetry
KW - SWIR
KW - Tree species
KW - UAS
UR - http://www.scopus.com/inward/record.url?scp=84987923404&partnerID=8YFLogxK
U2 - 10.5194/isprsarchives-XLI-B1-1143-2016
DO - 10.5194/isprsarchives-XLI-B1-1143-2016
M3 - Conference article in proceedings
T3 - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
SP - 1143
EP - 1148
BT - XXIII ISPRS Congress, Commission I
PB - International Society for Photogrammetry and Remote Sensing ISPRS
ER -