This is MATE: A Multiple scAttering correcTion rEtrieval algorithm for accurate lidar profiling of seawater optical properties

Yatong Chen; Xiaoyu Cui; Qiuling Gu; Yudi Zhou; Hongkai Zhao; Han Zhang; Shizhe Ma; Peituo Xu; Henrich Frielinghaus; Lan Wu; Chong Liu; Wenbo Sun; Suhui Yang; Miao Hu; Qun Liu; Dong Liu

doi:10.1016/j.rse.2024.114166

This is MATE: A Multiple scAttering correcTion rEtrieval algorithm for accurate lidar profiling of seawater optical properties

Yatong Chen, Xiaoyu Cui, Qiuling Gu, Yudi Zhou, Hongkai Zhao, Han Zhang, Shizhe Ma, Peituo Xu, Henrich Frielinghaus, Lan Wu, Chong Liu, Wenbo Sun, Suhui Yang, Miao Hu, Qun Liu^*, Dong Liu

^*Corresponding author for this work

School of Optics and Photonics

Research output: Contribution to journal › Article › peer-review

1 Citation (Scopus)

Abstract

Lidar has the capability to measure seawater vertical optical properties efficiently both day-time and night-time, though accurate retrieval is still challenging due to multiple scattering. Herein, we propose a Multiple scAttering correcTion and rEtrieval (MATE) algorithm suitable for shipborne, airborne and spaceborne lidars. The MATE algorithm provides the synchronous depth-resolved absorption, backscattering and diffuse attenuation coefficients of seawater. A good consistency was obtained between retrieved results and the in situ data with a root mean square relative difference (RSMRD) of 6.36% for diffuse attenuation coefficient, corresponding to an improvement of 2 times over methods that neglect multiple scattering. These results indicate that the MATE algorithm has valuable application potential in the quantitative evaluation of marine biological parameters.

Original language	English
Article number	114166
Journal	Remote Sensing of Environment
Volume	307
DOIs	https://doi.org/10.1016/j.rse.2024.114166
Publication status	Published - 1 Jun 2024

Keywords

Field experiments and validation
Multiple scattering
Oceanic lidar
Retrieval model
Seawater optical properties
Vertical distribution

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1016/j.rse.2024.114166

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Chen, Y., Cui, X., Gu, Q., Zhou, Y., Zhao, H., Zhang, H., Ma, S., Xu, P., Frielinghaus, H., Wu, L., Liu, C., Sun, W., Yang, S., Hu, M., Liu, Q., & Liu, D. (2024). This is MATE: A Multiple scAttering correcTion rEtrieval algorithm for accurate lidar profiling of seawater optical properties. Remote Sensing of Environment, 307, Article 114166. https://doi.org/10.1016/j.rse.2024.114166

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title = "This is MATE: A Multiple scAttering correcTion rEtrieval algorithm for accurate lidar profiling of seawater optical properties",

abstract = "Lidar has the capability to measure seawater vertical optical properties efficiently both day-time and night-time, though accurate retrieval is still challenging due to multiple scattering. Herein, we propose a Multiple scAttering correcTion and rEtrieval (MATE) algorithm suitable for shipborne, airborne and spaceborne lidars. The MATE algorithm provides the synchronous depth-resolved absorption, backscattering and diffuse attenuation coefficients of seawater. A good consistency was obtained between retrieved results and the in situ data with a root mean square relative difference (RSMRD) of 6.36% for diffuse attenuation coefficient, corresponding to an improvement of 2 times over methods that neglect multiple scattering. These results indicate that the MATE algorithm has valuable application potential in the quantitative evaluation of marine biological parameters.",

keywords = "Field experiments and validation, Multiple scattering, Oceanic lidar, Retrieval model, Seawater optical properties, Vertical distribution",

author = "Yatong Chen and Xiaoyu Cui and Qiuling Gu and Yudi Zhou and Hongkai Zhao and Han Zhang and Shizhe Ma and Peituo Xu and Henrich Frielinghaus and Lan Wu and Chong Liu and Wenbo Sun and Suhui Yang and Miao Hu and Qun Liu and Dong Liu",

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year = "2024",

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doi = "10.1016/j.rse.2024.114166",

language = "English",

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T2 - A Multiple scAttering correcTion rEtrieval algorithm for accurate lidar profiling of seawater optical properties

AU - Chen, Yatong

AU - Cui, Xiaoyu

AU - Gu, Qiuling

AU - Zhou, Yudi

AU - Zhao, Hongkai

AU - Zhang, Han

AU - Ma, Shizhe

AU - Xu, Peituo

AU - Frielinghaus, Henrich

AU - Wu, Lan

AU - Liu, Chong

AU - Sun, Wenbo

AU - Yang, Suhui

AU - Hu, Miao

AU - Liu, Qun

AU - Liu, Dong

PY - 2024/6/1

Y1 - 2024/6/1

N2 - Lidar has the capability to measure seawater vertical optical properties efficiently both day-time and night-time, though accurate retrieval is still challenging due to multiple scattering. Herein, we propose a Multiple scAttering correcTion and rEtrieval (MATE) algorithm suitable for shipborne, airborne and spaceborne lidars. The MATE algorithm provides the synchronous depth-resolved absorption, backscattering and diffuse attenuation coefficients of seawater. A good consistency was obtained between retrieved results and the in situ data with a root mean square relative difference (RSMRD) of 6.36% for diffuse attenuation coefficient, corresponding to an improvement of 2 times over methods that neglect multiple scattering. These results indicate that the MATE algorithm has valuable application potential in the quantitative evaluation of marine biological parameters.

AB - Lidar has the capability to measure seawater vertical optical properties efficiently both day-time and night-time, though accurate retrieval is still challenging due to multiple scattering. Herein, we propose a Multiple scAttering correcTion and rEtrieval (MATE) algorithm suitable for shipborne, airborne and spaceborne lidars. The MATE algorithm provides the synchronous depth-resolved absorption, backscattering and diffuse attenuation coefficients of seawater. A good consistency was obtained between retrieved results and the in situ data with a root mean square relative difference (RSMRD) of 6.36% for diffuse attenuation coefficient, corresponding to an improvement of 2 times over methods that neglect multiple scattering. These results indicate that the MATE algorithm has valuable application potential in the quantitative evaluation of marine biological parameters.

KW - Field experiments and validation

KW - Multiple scattering

KW - Oceanic lidar

KW - Retrieval model

KW - Seawater optical properties

KW - Vertical distribution

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DO - 10.1016/j.rse.2024.114166

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SN - 0034-4257

VL - 307

JO - Remote Sensing of Environment

JF - Remote Sensing of Environment

M1 - 114166

ER -

This is MATE: A Multiple scAttering correcTion rEtrieval algorithm for accurate lidar profiling of seawater optical properties

Abstract

Keywords

UN SDGs

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