Relationship between the effective attenuation coefficient of spaceborne lidar signal and the IOPs of seawater

Liu, Qun; Liu, Dong; Bai, Jian; Zhang, YuPeng; Zhou, Yudi; Xu, Peituo; Liu, Zhipeng; Chen, Sijie; Che, Haochi; Wu, Lan; Shen, Yibing; Liu, Chong

doi:10.1364/oe.26.030278

Cited by 23 publications

(16 citation statements)

References 31 publications

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“…Theoretically, Walker and McLean [10] concluded that α is variable with depth: it is close to a at the water surface and to K d in deep water. Liu et al [36] investigates the relationships between α and the inherent optical properties of seawater for spaceborne lidars. The analytical model in this paper also presents results similar to the results of Walker and McLean [10], as shown in Figure 8.…”

Section: Discussionmentioning

confidence: 99%

Validation of the Analytical Model of Oceanic Lidar Returns: Comparisons with Monte Carlo Simulations and Experimental Results

et al. 2019

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The analytical model based on the quasi-single small-angle scattering approximation can efficiently simulate oceanic lidar signals with multiple scattering; thus, its accuracy is of particular interest to scientists. In this paper, the model is modified to include refraction at oblique incidence and is then compared with Monte Carlo (MC) simulations and experimental results. Under different conditions, the results calculated by the analytical model demonstrate good agreement with the MC simulation and experimental data. The coefficient of determination R2 considering the logarithm of signals and the root mean square of the relative difference δ are R2 = 0.998 and δ = 10% in comparison with the semi-analytic MC simulation and R2 = 0.952 and δ = 46% for the lidar experiment. Thus, the results demonstrate the validity of the analytical model in the simulation of oceanic lidar signals.

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Section: Discussionmentioning

confidence: 99%

Validation of the Analytical Model of Oceanic Lidar Returns: Comparisons with Monte Carlo Simulations and Experimental Results

et al. 2019

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“…In addition, Liu found the seawater scattering phase function can be expressed in a two-term Henyey-Greenstein form through simulation. Furthermore, the lidar attenuation coefficient can be directly written as a function of the absorption coefficient and the backscattering coefficient [25]. Therefore, the absorption coefficient can be derived from the lidar attenuation coefficient and the backscattering coefficient.…”

Section: Methodsmentioning

confidence: 99%

Detection of Chlorophyll a and CDOM Absorption Coefficient with a Dual-Wavelength Oceanic Lidar: Wavelength Optimization Method

et al. 2020

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To overcome the retrieval problems in complex water, dual working wavelengths are required instead of a single wavelength in oceanic lidar. The wavelength optimization method of detecting chlorophyll a and Colored Dissolved Organic Matter (CDOM) absorption coefficient with a dual-wavelength lidar is studied in this paper. The inversion methods of chlorophyll a and CDOM absorption are developed based on the water absorption characteristics, which then lead to the inversion error equations. The effects of the wavelength on the inversion errors are studied. For the case in which λ1 and λ2 are both random, the errors are relatively small when λ1 is chosen between 420 and 560 nm and λ2 is selected under 420 nm. For the case in which λ1 is fixed at 532 nm, the errors generally decrease with decreasing λ2, with minimums around 300 and 356–360 nm under different water conditions. The wavelength optimization method discussed in this paper and the penetration depth criterion will be beneficial to the design of the dual-wavelength lidar.

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“…The estimated or expected value of the semi-analytical probability is expressed as [12,49,74,76,92,94]:…”

Section: B MC Simulation Modelmentioning

confidence: 99%

“…At present, MC model has widely been used to study the influence of different factors on laser underwater transmission characteristics, for instance [12,49,74,76,92,94]. This paper refers to the design steps of the semi-analytical MC program in references [12,49,74,76,92,94] to design the semi-analytical MC simulation program. When the wavelength is a constant, the energy of the laser pulse is proportional to the number of photons.…”

Section: Research Progress On O-lidar Echo Signal Modeling and Analysis Of Key Factors For Optical Parametermentioning

confidence: 99%

“…In 1991, Morel [91] introduced an analytical relationship between the absorption coefficient, the scattering coefficient, and the chlorophyll concentration distribution in case 1 water. This relationship is widely used to determine the attenuation coefficients of stratified water [74]. Researchers have since quantitatively analyzed the effect of the chlorophyll concentration and water attenuation coefficient function on laser underwater transmission using an echo signal simulation model.…”

Section: ) Effect Of Stratified Water On Lidar Echo Signalmentioning

confidence: 99%

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Overview of Underwater Transmission Characteristics of Oceanic LiDAR

Zhou

Zhang

et al. 2021

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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Oceanic LiDAR (hereafter referred to as O-LiDAR) is an important remote sensing device for measuring the near-coastal water depth and for studying the optical properties of water bodies. With the commercialization of LiDAR, the theoretical research on the underwater transmission characteristics of LiDAR has been intensified worldwide. Primary research interests include the simulation and modeling of LiDAR underwater echo signals and the inversion of optical parameters using LiDAR water echo signals. This paper provides an overview of the principle of LiDAR echo signal formation, and comprehensively summarizes the LiDAR echo signal simulation modeling methods and the corresponding factors that affect modeling accuracy by focusing on the characteristics of different methods. We found that the current simulation methods of LiDAR underwater transmission echo signals primarily include an analytical method based on the radiation transfer equation and a statistical method based on the Monte Carlo model. The radiation transport equation needs to be appropriately simplified using the analytical method, usually using the quasi-single-small-angle approximation principle. The analytical method has a high calculation efficiency but its accuracy is dependent to the quasi-single small-angle approximation. The statistical method can analyze the influence of various factors on echo signals by controlling the variables, but it has a poor calculation efficiency. Finally, the semi-analytical Monte Carlo model was used to quantitatively analyze the three main factors ( LiDAR system parameters, water body optical parameters, and environmental parameters) affecting underwater LiDAR transmission characteristics, and summarizes the mechanism and results of different factors.

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Relationship between the effective attenuation coefficient of spaceborne lidar signal and the IOPs of seawater

Cited by 23 publications

References 31 publications

Validation of the Analytical Model of Oceanic Lidar Returns: Comparisons with Monte Carlo Simulations and Experimental Results

Validation of the Analytical Model of Oceanic Lidar Returns: Comparisons with Monte Carlo Simulations and Experimental Results

Detection of Chlorophyll a and CDOM Absorption Coefficient with a Dual-Wavelength Oceanic Lidar: Wavelength Optimization Method

Overview of Underwater Transmission Characteristics of Oceanic LiDAR

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