| Issue |
EPJ Web Conf.
Volume 176, 2018
The 28th International Laser Radar Conference (ILRC 28)
|
|
|---|---|---|
| Article Number | 01003 | |
| Number of page(s) | 4 | |
| Section | Recent advances in lidar technology | |
| DOI | https://doi.org/10.1051/epjconf/201817601003 | |
| Published online | 13 April 2018 | |
https://doi.org/10.1051/epjconf/201817601003
Inelastic hyperspectral lidar for aquatic ecosystems monitoring and landscape plant scanning test
1
Center of Optical and Electromagnetic Research, South China Normal University, Guangzhou, China
2
Combustion Physics Division, Department of Physics, Lund University, Sweden
3
Centre for Animal Movement, Department of Biology, Lund University, Sweden
4
Atomic Physics Division, Department of Physics, Lund University, Sweden
5
Norsk Elektro Optikk A/S, Norway
Published online: 13 April 2018
We have developed an aquatic inelastic hyperspectral lidar with unrestricted focal-depth and enough sensitivity and spatio-temporal resolution to detect and resolve position and behavior of individual sub-millimeter aquatic organisms. We demonstrate ranging with monitoring of elastic echoes, water Raman signals and fluorescence from chlorophyllbearing phytoplankton and dye tagged organisms. The system is based on a blue CW diode laser and a Scheimpflug optical arrangement.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (http://creativecommons.org/licenses/by/4.0/).
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.