A Feasible Calibration Method for Type 1 Open Ocean Water LiDAR Data Based on Bio-Optical Models

Accurate calibration of oceanic LiDAR signals is essential for the accurate retrieval of ocean optical properties. Nowadays, there are many methods for aerosol LiDAR calibration, but fewer attempts have been made to implement specific calibration methods for oceanic LiDAR. Oceanic LiDAR often has higher vertical resolution, needs greater signal dynamic range, detects several orders of magnitude lower less depth of penetration, and suffers from the effects of the air-sea interface. Therefore the calibration methods for aerosol LiDAR may not be useful for oceanic LiDAR. In this paper, we present a new simple and feasible approach for oceanic LiDAR calibration via comparison of LiDAR backscatter against calculated scatter based on iteratively bio-optical models in clear, open ocean, Type 1 water. Compared with current aerosol LiDAR calibration methods, it particularly considers geometric losses and attenuation occurring in the atmosphere-sea interface. The mean relative error percentage (MREP) of LiDAR calibration constant at two different stations was all within 0.08%. The MREP between LiDAR-retrieved backscatter, chlorophyll after using LiDAR calibration constant with inversion results of measured data were within 0.18% and 1.39%, respectively. These findings indicate that the bio-optical methods for LiDAR calibration in clear ocean water are feasible and effective.

[1]  James H Churnside Lidar signature from bubbles in the sea. , 2010, Optics express.

[2]  James H. Churnside,et al.  Thin scattering layers observed by airborne lidar , 2009 .

[3]  Xiaomei Lu,et al.  Annual boom-bust cycles of polar phytoplankton biomass revealed by space-based lidar , 2017 .

[4]  H. Gordon,et al.  Interpretation of airborne oceanic lidar: effects of multiple scattering. , 1982, Applied optics.

[5]  Chad Lembke,et al.  Optical Backscattering Measured by Airborne Lidar and Underwater Glider , 2017, Remote. Sens..

[6]  Michael S Twardowski,et al.  Lidar extinction-to-backscatter ratio of the ocean. , 2014, Optics express.

[7]  L R Bissonnette,et al.  Sensitivity analysis of lidar inversion algorithms. , 1986, Applied optics.

[8]  Grigorii P. Kokhanenko,et al.  Lidar and in situ measurements of the optical parameters of water surface layers in Lake Baikal , 2011 .

[9]  J. Klett Stable analytical inversion solution for processing lidar returns. , 1981, Applied optics.

[10]  J. Biele,et al.  Polarization Lidar: Correction of instrumental effects. , 2000, Optics express.

[11]  H. Gordon,et al.  Remote Assessment of Ocean Color for Interpretation of Satellite Visible Imagery: A Review , 1983 .

[12]  E. O'connor,et al.  A Technique for Autocalibration of Cloud Lidar , 2004 .

[13]  S. Maritorena,et al.  Bio-optical properties of oceanic waters: A reappraisal , 2001 .

[14]  Yongxiang Hu,et al.  Spaceborne Lidar in the Study of Marine Systems. , 2018, Annual review of marine science.

[15]  F. G. Fernald Analysis of atmospheric lidar observations: some comments. , 1984, Applied optics.

[16]  David M. Winker,et al.  CALIPSO Lidar Calibration Algorithms. Part I: Nighttime 532-nm Parallel Channel and 532-nm Perpendicular Channel , 2009 .

[17]  Y. Kopilevich,et al.  Mathematical modeling of the input signals of oceanological lidars , 2008 .

[18]  J. Biele Polarization lidar : Corrections of instrumental effects , 2022 .

[19]  James H. Churnside,et al.  Dual-polarization airborne lidar for freshwater fisheries management and research , 2017 .

[20]  James H. Churnside,et al.  Airborne lidar detection and characterization of internal waves in a shallow fjord , 2012 .

[21]  James H. Churnside,et al.  Review of profiling oceanographic lidar , 2013 .

[22]  Lisa R. Moore,et al.  Determination of spectral absorption coefficients of particles, dissolved material and phytoplankton for discrete water samples , 2000 .

[23]  L. Prieur,et al.  An optical classification of coastal and oceanic waters based on the specific spectral absorption curves of phytoplankton pigments, dissolved organic matter, and other particulate materials1 , 1981 .

[24]  Delu Pan,et al.  Semi-analytic Monte Carlo radiative transfer model of laser propagation in inhomogeneous sea water within subsurface plankton layer , 2019, Optics & Laser Technology.

[25]  Delu Pan,et al.  Subsurface plankton layers observed from airborne lidar in Sanya Bay, South China Sea. , 2018, Optics express.

[26]  N. Welschmeyer Fluorometric analysis of chlorophyll a in the presence of chlorophyll b and pheopigments , 1994 .

[27]  J. McLean,et al.  Lidar equations for turbid media with pulse stretching. , 1999, Applied optics.

[28]  Shubha Sathyendranath,et al.  Optical backscattering is correlated with phytoplankton carbon across the Atlantic Ocean , 2013 .

[29]  James M Sullivan,et al.  Oceanographic lidar profiles compared with estimates from in situ optical measurements. , 2013, Applied optics.

[30]  J. Churnside,et al.  Inversion of oceanographic profiling lidars by a perturbation to a linear regression. , 2017, Applied optics.

[31]  James H. Churnside,et al.  Subsurface plankton layers in the Arctic Ocean , 2015 .

[32]  W J Lillycrop,et al.  Airborne lidar bathymetry : The SHOALS system , 2000 .