Research on remote sensing retrieval and diurnal variation of Secchi disk depth of Jiaozhou Bay based on GOCI

doi:10.6046/gtzyyg.2020216

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Abstract

Secchi disk depth (Z_sd) is an important parameter for describing the optical properties of water bodies. With high spatial and temporal resolution, satellite remote sensing technology has become an important method of Z_sd observation. Using the in-situ measured data and GOCI images of Jiaozhou Bay (JZB) on May 16, 2017, the authors used semi-analytical algorithms Doron11 and Lee15 to retrieve the Z_sd. It is shown that the Lee15 performed better than Doron11, with the decision coefficient of 0.976 and the root mean square error of 0.02 m between the estimated values and in-situ measured values. Selecting eight GOCI images from 8: 16 to 15: 16, the authors used Lee15 algorithm to get the spatial and temporal distribution characteristics of the diurnal variation ofZ_sd on the JZB. On the spatial distribution, the overall Z_sd level of the JZB is low (0~4 m), and gradually increases from the inside to the outside of the Bay. On the time variations, the Z_sd at the Bay mouth is obviously affected by the tides. The changes between the Bay mouth and the Bay outside are dominated by the solar zenith angle (SOLZ). The change of averageZ_sd of the JZB is mainly caused by the joint effect of the SOLZ and the tide. According to the respectively statistical analysis between the in-situ Z_sd at each sampling station and simultaneously measured other environmental factors, the change in the Z_sd of the JZB is the result of the joint action of multiple environmental factors, and has a strong positive correlation with the water depth, with correlation coefficient reaching 0.84, but it is negatively correlated with other environmental factors.

Keywords Secchi disk depth GOCI image semi-analytical algorithm diurnal variation environmental factors

ZTFLH:

P76

Corresponding Authors: YU Dingfeng E-mail: zhouyan_ocrs@qlu.edu.cn;dfyu@qlu.edu.cn

Issue Date: 21 July 2021

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	Yan ZHOU
	Dingfeng YU
	Xiaoyan LIU
	Qian YANG
	Yingying GAI

Cite this article:

Yan ZHOU,Dingfeng YU,Xiaoyan LIU, et al. Research on remote sensing retrieval and diurnal variation of Secchi disk depth of Jiaozhou Bay based on GOCI[J]. Remote Sensing for Land & Resources, 2021, 33(2): 108-115.

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https://www.gtzyyg.com/EN/10.6046/gtzyyg.2020216 OR https://www.gtzyyg.com/EN/Y2021/V33/I2/108

Fig.1 Location of sampling stations in Jiaozhou Bay

Fig.2 In-situ R_rs values of sampling stations

Fig.3 Comparison of R_rs values between band-equivalent of in-situ measured and GOCI data after atomosphere correction

步骤	物理量	计算公式
1	r_rs(λ)	r_rs(λ)=R_rs(λ)/(0.52+1.7R(λ))
2	u(λ)	$u (λ) = - g 0 + (g 0) 2 + 4 g 1 r rs (λ) 2 g 1$ ,g₀=0.089, g₁=0.125
		R_rs(670)<0.001 5sr^-1 (QAA_V5)	R_rs(670)≥0.001 5sr^-1 (QAA_V6)
3	a(λ₀)	a(λ₀)=a(55x)=a_w(λ₀)+ $10 h 0 + h 1 χ + h 2 χ 2$ h₀=-1.146, h₁=-1.366, h₂=-0.469 $χ = lg r rs (443) + r (490) r rs (55 x) + 5 r rs (670) r rs (490) r rs (670)$	$= a (670) = a w (670) + 0.39 R rs (670) R rs (443) + R rs (490) 1.14$
4	b_bp(λ₀)	b_bp(λ₀)=b_bp(55x)= $u (λ 0) - a (λ 0) 1 - u (λ 0)$ -b_bw(55x)	b_bp(λ₀)=b_bp(670)= $u (λ 0) - a (λ 0) 1 - u (λ 0)$ -b_bw(670)
5	η	$η = 2.0 1 - 1.2 exp - 0.9 r rs (443) r rs (55 x)$
6	b_bp(λ)	b_bp(λ)=b_bp(λ₀) $λ 0 λ η$
7	a(λ)	a(λ)=[1-u(λ)][b_bw(λ)+b_bp(λ)]/u(λ)

Tab.1 Steps of QAA_V6 to obtain absorption coefficient and scattering coefficient from remote sensing reflectance

Fig.4 Scatter plot of Z_sd values of in-situ measured and model estimated

Fig.5 Spatio-temporal distribution of the Secchi disk depth of Jiaozhou Bay from 08: 16—15: 16 on May 16, 2017

Fig.6 Diurnal variation of Secchi disk depth, solar zenith angle and tide in Jiaozhou Bay

Tab.2 Correlation analysis between in-situ measured Secchi disk depth and environmental factors

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