EPJ Web of Conferences
Volume 119, 2016The 27th International Laser Radar Conference (ILRC 27)
|Number of page(s)||4|
|Section||Marine and Terrestrial Lidar|
|Published online||07 June 2016|
Ocean Lidar Measurements of Beam Attenuation and a Roadmap to Accurate Phytoplankton Biomass Estimates
1 NASA Langley Research Center, Hampton, VA 23681, USA
2 Oregon State University, Corvalis, OR, USA
3 Centre National d’Etudes Spatiales, France
4 Sequoia Sci. Inc., USA
5 University of Maine, Walpole, ME 04573
6 UMBC, MD, USA
7 Ball Aerospace Corp., CO, USA
8 NRL Stennis, MS, USA
* Email: Yongxiang.email@example.com
Published online: 7 June 2016
Beam attenuation coefficient, c, provides an important optical index of plankton standing stocks, such as phytoplankton biomass and total particulate carbon concentration. Unfortunately, c has proven difficult to quantify through remote sensing. Here, we introduce an innovative approach for estimating c using lidar depolarization measurements and diffuse attenuation coefficients from ocean color products or lidar measurements of Brillouin scattering. The new approach is based on a theoretical formula established from Monte Carlo simulations that links the depolarization ratio of sea water to the ratio of diffuse attenuation Kd and beam attenuation C (i.e., a multiple scattering factor).
On July 17, 2014, the CALIPSO satellite was tilted 30° off-nadir for one nighttime orbit in order to minimize ocean surface backscatter and demonstrate the lidar ocean subsurface measurement concept from space. Depolarization ratios of ocean subsurface backscatter are measured accurately. Beam attenuation coefficients computed from the depolarization ratio measurements compare well with empirical estimates from ocean color measurements. We further verify the beam attenuation coefficient retrievals using aircraft-based high spectral resolution lidar (HSRL) data that are collocated with in-water optical measurements.
© Owned by the authors, published by EDP Sciences, 2016
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.
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