Articles | Volume 12, issue 5
https://doi.org/10.5194/bg-12-1629-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/bg-12-1629-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Technical note
| 
12 Mar 2015
Technical note |
| 12 Mar 2015
Technical Note: Multispectral lidar time series of pine canopy chlorophyll content
T. Hakala
CORRESPONDING AUTHOR
Finnish Geospatial Research Institute (FGI), Masala, Finland
O. Nevalainen
Finnish Geospatial Research Institute (FGI), Masala, Finland
S. Kaasalainen
Finnish Geospatial Research Institute (FGI), Masala, Finland
R. Mäkipää
Finnish Forest Research Institute (METLA), Vantaa, Finland
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Short summary
A hyperspectral lidar produces point clouds with multiple spectral channels (colours) for each point. We measured a pine and used the spectral content to estimate chlorophyll content. We validated these results using chemical laboratory analysis of needles taken from the pine. Our prototype has limitations, but still shows the great potential of coloured point clouds. Potential applications include forestry, security, archaeology and city modelling.
A hyperspectral lidar produces point clouds with multiple spectral channels (colours) for each...
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