基于GF-4卫星的杭州湾悬浮泥沙浓度遥感监测研究

邵宇杰; 胡越凯; 周斌; 陈芳; 何贤强; 王国军; 袁小红; 周亚丽; 于之锋

doi:10.3969/j.issn.0253-4193.2020.09.014

基于GF-4卫星的杭州湾悬浮泥沙浓度遥感监测研究

doi: 10.3969/j.issn.0253-4193.2020.09.014

邵宇杰^{1, 6,},
胡越凯²,
周斌^{1, 6},
陈芳³,
何贤强⁴,
王国军⁵,
袁小红^{1, 6},
周亚丽^{1, 6},
于之锋^{1, 5, 6, ,}

1.
杭州师范大学遥感与地球科学研究院，浙江杭州 311121
2.
华东师范大学河口海岸学国家重点实验室，上海 200241
3.
武汉大学测绘遥感信息工程国家重点实验室，湖北武汉 430079
4.
湛江湾实验室南海渔业大数据中心，广东湛江 524006
5.
中科卫星应用德清研究院浙江省微波目标特性测量与遥感重点实验室，浙江德清 313200
6.
浙江省城市湿地与区域变化研究重点实验室，浙江杭州 311121

基金项目: 南方海洋科学与工程广东省实验室（湛江）（湛江湾实验室）项目（ZJW-2019-08）；国家重点研发计划（2016YFC1400906，2016YFC1401008）；国家自然科学基金（41206169）；浙江省微波目标特性测量与遥感重点实验室开放基金（2018KF03）。

详细信息

作者简介:
邵宇杰(1997-)，男，浙江省绍兴市人，从事水环境遥感研究。E-mail：shaoyujie@stu.hznu.edu.cn

通讯作者:
于之锋(1984-)，博士，从事水环境遥感研究。E-mail：yu@hznu.edu.cn

中图分类号: P736.2
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- 文章访问数: 577
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- 被引次数: 0
出版历程
- 收稿日期: 2019-06-22
- 修回日期: 2020-04-14
- 网络出版日期: 2021-04-21
- 刊出日期: 2020-09-25

Remote sensing monitoring of suspended sediment concentration based on GF-4 satellite in the Hangzhou Bay

Shao Yujie^{1, 6
,},
Hu Yuekai²,
Zhou Bin^{1, 6},
Chen Fang³,
He Xianqiang⁴,
Wang Guojun⁵,
Yuan Xiaohong^{1, 6},
Zhou Yali^{1, 6},
Yu Zhifeng^{1, 5, 6
, ,}

1.
Institute of Remote Sensing and Earth Sciences, Hangzhou Normal University, Hangzhou 311121, China
2.
State Key Laboratory of Estuarine and Coastal Research, East China Normal University, Shanghai 200241, China
3.
State Key Laboratory of Surveying, Mapping and Remote Sensing Information Engineering, Wuhan University, Wuhan 430079, China
4.
Fisheries Big Data Center of South China Sea, Zhanjiang 524006, China
5.
Laboratory of Target Microwave Properties, Deqing Academy of Satellite Applications, Deqing 313200, China
6.
Zhejiang Provincial Key Laboratory of Urban Wetlands and Regional Change, Hangzhou 311121, China

摘要

摘要: 悬浮泥沙作为重要水质参数，其分布和动态变化对河口及近岸的生态、环境、物质循环等都具有深远的影响。我国静止轨道高分四号(GF-4)卫星数据具有高时间和高空间分辨率的观测优势，在水色遥感上具有重大应用潜力。为探究GF-4卫星对悬浮泥沙浓度的监测能力，本文以杭州湾为研究区，构建反演模型，利用静止海洋水色成像仪进行交叉验证。结果表明，以GF-4卫星第5和第4波段遥感反射率的比值作为遥感因子建立的反演模型精度较高，决定系数为0.92，均方根误差为223.2 mg/L，平均相对误差为17.2%。交叉验证结果显示，GF-4卫星作为一种新的遥感数据源，在低浓度区与静止海洋水色成像仪反演悬浮泥沙浓度分布相似，但在高浓度区的差异随浓度增高而增大，总体可满足中国大部分海区的监测需求。
- 悬浮泥沙浓度 /
- 杭州湾 /
- GF-4卫星 /
- GOCI卫星 /
- 指数模型
Abstract: As an important water quality parameter, the distribution and dynamic change of suspended sediment have a profound impact on the ecology, environment and material circulation of the estuary and the near shore. GF-4 satellite has the ability to observe at any time, can quickly provide a large number of observation data, and has the application potential in water color remote sensing. In order to explore the monitoring effect of GF-4 satellite on suspended sediment in water, takes the Hangzhou Bay as the research area in this paper, constructs suspended sediment concentration inversion model, and uses GOCI satellite to cross verify. The results show that the index model established by using the ratio of remote sensing reflectance of the 5th and 4th band of GF-4 as the remote sensing factor has a high inversion accuracy, with a determination coefficient of 0.92, a root mean square error of 273.6 mg/L and an mean relative error of 17.2%. The cross-validation results show that GF-4 satellite data, as a new remote sensing data source, is similar to the distribution of GOCI satellite inversion suspended sediment concentration in the low concentration region, but the difference increases with the increase of concentration in the high concentration region. The research shows that GF-4 satellite is suitable for high precision inversion in the waters with low suspended sediment concentration and can be applied in most marine areas of China.
- suspended sediment /
- Hangzhou Bay /
- GF-4 satellite /
- GOCI satellite /
- index model

HTML全文

图 1 观测站位分布示意图

Fig. 1 Distribution of observation stations

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图 2 实测光谱数据

Fig. 2 In-situ spectral data

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图 3 GF-4实测点与建模点悬浮泥沙浓度对比

Fig. 3 Comparison of suspended sediment concentration retrived by GF-4 satellite measured point and modeling point

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图 4 GF-4（a）和GOCI（b）卫星反演悬浮泥沙浓度结果

Fig. 4 Inversion results of suspended sediment concentration retrived by GF-4 satellite (a) and GOCI satellite (b)

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图 5 悬浮泥沙浓度反演的4个实验区域

Fig. 5 Four experimental regions for inversion of suspended sediment concentration

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图 6 反演得到的4个实验区域的悬浮泥沙浓度箱线图

Fig. 6 Box-plot of suspended sediment concentration in four experimental regions

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表 1 卫星传感器的基本参数

Tab. 1 Basic parameters of satellite sensor

传感器	轨道类型	光谱范围/nm	幅宽/km
GOCI卫星	地球同步轨道	B1: 402～422	2 500
		B2: 433～453
		B3: 480～500
		B4: 545～565
		B5: 650～670
		B6: 675～685
		B7: 735～755
		B8: 845～885
GF-4卫星	地球同步轨道	B1: 450～900	400
		B2: 450～520
		B3: 520～600
		B4: 630～690
		B5: 760～900
		B6: 3 500～4 100

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表 2 悬浮泥沙浓度反演模型误差

Tab. 2 Error of different suspended sediment concentration inversion models

传感器	遥感因子	建模点(40对)		验证点(20对)
传感器	遥感因子	方程	R²	RMSE/mg·L^–1	MRE/%
GF-4卫星	$ {R}_{\rm {rs}}\left(\mathrm{B}5\right)/{R}_{\rm {rs}}\left(\mathrm{B}2\right) $	SSC=40.29exp(1.83X)	0.82	489.7	32.0
	$ {R}_{\rm {rs}}\left(\mathrm{B}5\right)/{R}_{\rm {rs}}\left(\mathrm{B}3\right) $	SSC=13.88exp(3.59X)	0.88	349.5	24.5
	$ {R}_{\rm {rs}}\left(\mathrm{B}5\right)/{R}_{\rm {rs}}\left(\mathrm{B}4\right) $	SSC=4.87exp(5.63X)	0.92	223.2	17.2
GOCI卫星	$ {R}_{\rm {rs}}\left(\mathrm{B}8\right)/{R}_{\rm {rs}}\left(\mathrm{B}6\right) $	SSC=20.59exp(4.49X)	0.86	212.6	12.3

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表 3 各区间反演模型误差

Tab. 3 Model error of interval inversion

悬浮泥沙浓度/mg·L^–1	GF-4卫星模型		GOCI卫星模型
悬浮泥沙浓度/mg·L^–1	RMSE/mg·L^–1	MRE/%	RMSE/mg·L^–1	MRE/%
0～500	26.4	13.1	22.8	12.4
500～1 000	91.7	16.0	104.6	20.0
1 000～2 000	260.8	20.6	181.9	18.7

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表 4 杭州湾悬浮泥沙反演结果（单位：mg/L）

Tab. 4 Inversion results of suspended sediment concentration in the Hangzhou Bay（unit：mg/L）

传感器	最大值	最小值	平均值
GF-4卫星	1 248.8	54.9	171.8
GOCI卫星	1 905.9	23.5	256.8

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表 5 杭州湾实验区域悬浮泥沙浓度（单位：mg/L）

Tab. 5 Suspended sediment concentration of experimental regions in the Hangzhou Bay (unit: mg/L)

传感器	区域A			区域B			区域C			区域D
传感器	最小值	最大值	平均值	最小值	最大值	平均值	最小值	最大值	平均值	最小值	最大值	平均值
GF-4卫星	297.3	703.3	490.5	439.5	939.3	663.4	176.8	297.1	227.9	157.3	236.5	185.9
GOCI卫星	358.3	794.0	577.7	654.4	1465.2	937.1	192.8	322.6	251.7	179.9	236.1	197.8

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表 6 大气校正后GF-4卫星相对GOCI卫星反演的悬浮泥沙浓度平均误差

Tab. 6 Average error of suspended sediment concentration retrieved by GF-4 satellite relative to GOCI satellite after atmospheric correction

SSC浓度/mg·L⁻¹	GF-4 B5相对GOCI B8/%	GF-4 B4相对GOCI B6/%	GF-4 B5、B4相对GOCI B8、B6/%
<500	18.4	−1.0	23.8
500～1 000	9.0	−1.6	11.8
>1 000	5.1	−1.6	7.1

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