Ocean Optical Profiling in South China Sea Using Airborne LiDAR

Increasingly, LiDAR has more and more applications. However, so far, there are no relevant publications on using airborne LiDAR for ocean optical profiling in the South China Sea (SCS). The applicability of airborne LiDAR for optical profiling in the SCS will be presented. A total of four airborne LiDAR flight experiments were conducted over autumn 2017 and spring 2018 in the SCS. A hybrid retrieval method will be presented here, which incorporates a Klett method to obtain LiDAR attenuation coefficient and a perturbation retrieval method for a volume scattering function at 180◦. The correlation coefficient between the LiDAR-derived results and the traditional measurements was 0.7. The mean absolute relative error (MAE) and the normalized root mean square deviation (NRMSD) between the two are both between 10% and 12%. Subsequently, the vertical structure of the LiDAR-retrieved attenuation and backscattering along airborne LiDAR flight tracks was mapped. In addition to this, ocean subsurface phytoplankton layers were detected between 10 to 20 m depths along the flight track in Sanya Bay. Primary results demonstrated that our airborne LiDAR has an independent ability to survey and characterize ocean optical structure.

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

[2]  J. Paruelo,et al.  How to evaluate models : Observed vs. predicted or predicted vs. observed? , 2008 .

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

[4]  K. Dawson,et al.  Spaceborne observations of the lidar ratio of marine aerosols , 2015 .

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

[6]  Michael S Twardowski,et al.  Angular shape of the oceanic particulate volume scattering function in the backward direction. , 2009, Applied optics.

[7]  Delu Pan,et al.  A Feasible Calibration Method for Type 1 Open Ocean Water LiDAR Data Based on Bio-Optical Models , 2019, Remote. Sens..

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

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

[10]  Kutalmis Saylam,et al.  Assessment of depth and turbidity with airborne Lidar bathymetry and multiband satellite imagery in shallow water bodies of the Alaskan North Slope , 2017, Int. J. Appl. Earth Obs. Geoinformation.

[11]  Katja Richter,et al.  An Approach to Determining Turbidity and Correcting for Signal Attenuation in Airborne Lidar Bathymetry , 2017, PFG – Journal of Photogrammetry, Remote Sensing and Geoinformation Science.

[12]  Brian M. Concannon,et al.  LOCO with a Shipboard Lidar , 2008 .

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

[14]  H. Treut,et al.  THE CALIPSO MISSION: A Global 3D View of Aerosols and Clouds , 2010 .

[15]  W Scott Pegau,et al.  Spectral backscattering properties of marine phytoplankton cultures. , 2010, Optics express.

[16]  Gerrit de Leeuw,et al.  Inversion of lidar signals with the slope method. , 1993, Applied optics.

[17]  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.

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

[19]  Johnathan Hair,et al.  Ocean Backscatter Profiling Using High-Spectral-Resolution Lidar and a Perturbation Retrieval , 2018, Remote. Sens..

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

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

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

[23]  Deric J Gray,et al.  Significance of scattering by oceanic particles at angles around 120 degree. , 2014, Optics express.

[24]  Malik Chami,et al.  Variability of the relationship between the particulate backscattering coefficient and the volume scattering function measured at fixed angles , 2006 .

[25]  James H Churnside,et al.  Airborne lidar detection and mapping of invasive lake trout in Yellowstone Lake. , 2018, Applied optics.

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

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

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

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

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

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

[32]  E. Boss,et al.  Relationship of light scattering at an angle in the backward direction to the backscattering coefficient. , 2001, Applied optics.

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

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

[35]  Sherwin Ladner,et al.  Probing the subsurface ocean processes using ocean LIDARS , 2012, Defense, Security, and Sensing.

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

[37]  Wayne C. Welch,et al.  Airborne high spectral resolution lidar for profiling aerosol optical properties. , 2008, Applied optics.