面向水资源监测任务的星载多传感器组合方法

doi:10.11988/ckyyb.20231399

长江科学院院报 ›› 2024, Vol. 41 ›› Issue (12): 162-170.DOI: 10.11988/ckyyb.20231399

面向水资源监测任务的星载多传感器组合方法

姜莹¹^,²(), 陈喆¹^,²(), 向大享¹^,², 陈希炽¹^,², 赵静¹^,², 文雄飞¹^,², 申邵洪²^,³

¹ 长江科学院空间信息技术应用研究所,武汉 430010
² 武汉市智慧流域工程技术研究中心,武汉 430010
³ 长江科学院科研计划处,武汉 430010

收稿日期:2023-12-21 修回日期:2024-06-21 出版日期:2024-12-01 发布日期:2024-12-01
通信作者:
陈喆(1985-),女,湖北武汉人,高级工程师,博士,主要从事水利遥感、水利信息化方面的研究。E-mail:airmicheal@126.com
作者简介:
姜莹(1990-),女,湖南益阳人,工程师,硕士,主要从事水利信息化、智能遥感解译方面的研究。E-mail:496396225@qq.com
基金资助:
湖北省自然科学基金项目(2022CFD173); 武汉市重点研发计划项目(2023010402010586); 国家重点研发计划项目(2021YFC3000205)

A Combined Method of Space-borne Multi-sensors for Water Resources Monitoring

JIANG Ying¹^,²(), CHEN Zhe¹^,²(), XIANG Da-xiang¹^,², CHEN Xi-chi¹^,², ZHAO Jing¹^,², WEN Xiong-fei¹^,², SHEN Shao-hong²^,³

¹ Spatial Information Technology Application Department,Changjiang River Scientific Research Institute,Wuhan430010,China
² Wuhan Smart Watershed Engineering Technology Research Center, Changjiang River ScientificResearch Institute,Wuhan 430010,China
³ R & D Departmet,Changjiang River Scientific Research Institute,Wuhan 430010,China

Received:2023-12-21 Revised:2024-06-21 Published:2024-12-01 Online:2024-12-01

摘要/Abstract

摘要：

面向水资源监测任务需求,综合考虑时-空覆盖性、传感器参数、成像质量和目标重要性等准则,基于监测任务需求原型,提出一种自适应多传感器性能度量方案,构建模糊贪婪搜索决策的星载组合方法,实现对水资源监测任务的最大效益化观测。为验证组合方案的适应性,以丹江口库区为试验区,进行多传感器组合观测模型验证。试验结果表明,组合观测方案能满足在特定时空约束条件下对库区水质、库岸环境及常规干旱监测任务的需求,为水资源日常监测提供合理的决策依据。

关键词: 星载多传感器, 多传感器性能度量, 任务需求原型, 模糊贪婪搜索决策, 组合观测

Abstract:

In addressing the requirements of water resources monitoring tasks, we propose an adaptive multi-sensor performance measurement scheme by integrating time-space coverage, sensor parameters, imaging quality, and target importance based on the prototype of the monitoring task requirements. To achieve optimal benefit for water resources monitoring tasks, we constructed a combined optimization method using fuzzy greedy search decision algorithm and validated the adaptability of the proposed method by applying it to the Danjiangkou Reservoir area. Results demonstrate that the combined observation method effectively meet the requirements of reservoir water quality monitoring, reservoir bank environmental monitoring, as well as routine drought monitoring tasks within specific space-time constraints, thereby providing a sound decision-making basis for the daily monitoring of water resources.

Key words: space-borne multi-sensor, multi-sensor performance measurement, monitoring task requirement prototype, fuzzy greedy search decision, combined observation

中图分类号:

TP311程序设计、软件工程

姜莹, 陈喆, 向大享, 陈希炽, 赵静, 文雄飞, 申邵洪. 面向水资源监测任务的星载多传感器组合方法[J]. 长江科学院院报, 2024, 41(12): 162-170.

JIANG Ying, CHEN Zhe, XIANG Da-xiang, CHEN Xi-chi, ZHAO Jing, WEN Xiong-fei, SHEN Shao-hong. A Combined Method of Space-borne Multi-sensors for Water Resources Monitoring[J]. Journal of Changjiang River Scientific Research Institute, 2024, 41(12): 162-170.

监测任务	时间分辨率/d	覆盖率	空间分辨率/m	光谱分辨率/ μm
水质监测	≤7	越大越好	≪30	满足水质反演要求0.4~1.0 μm
库岸环境监测	≤10	越大越好	≪10	满足库岸特征识别要求0.38~0.78 μm
干旱常规监测	≤30	越大越好	20~ 5 000	满足旱情指标反演要求0.4~14 μm

监测任务	时间分辨率/d	覆盖率	空间分辨率/m	光谱分辨率/ μm
水质监测	≤7	越大越好	≪30	满足水质反演要求0.4~1.0 μm
库岸环境监测	≤10	越大越好	≪10	满足库岸特征识别要求0.38~0.78 μm
干旱常规监测	≤30	越大越好	20~ 5 000	满足旱情指标反演要求0.4~14 μm

卫星	传感器	时间分辨率/d	空间分辨率/m	光谱分辨率/ μm
Terra/Aqua	MODIS	1	250/500/1 000	0.4~14.4
WorldView3	PMS	1	0.31/1.24	0.45~1.04
SPOT7	HRG	1	1.5/6	0.45~0.89
ALOS	PRISM	2	2.5	0.53~0.77
Landsat8	OLI	16	15/30	0.43~0.88
GF-1	PMS	4	2/8	0.45~0.89
GF-2	PMS	5	0.8/3.2	0.45~0.9
EO-1	Hyperion	5	30	0.4~2.5
HJ-1A/B	HSI	4	100	0.45~0.95
FY3	MERSI	5.5	250/500/1 000	0.4~12.5
Sentinel2	MSI	5	10/20/60	0.44~2.4
Sentinel3	OLCI	2	300/1 200	0.40~1.02
ZY1-02C	PMS	3	5/10	0.51~0.89
ZY3-02	MUX	5	2.1/2.5/5.8	0.45~0.89

卫星	传感器	时间分辨率/d	空间分辨率/m	光谱分辨率/ μm
Terra/Aqua	MODIS	1	250/500/1 000	0.4~14.4
WorldView3	PMS	1	0.31/1.24	0.45~1.04
SPOT7	HRG	1	1.5/6	0.45~0.89
ALOS	PRISM	2	2.5	0.53~0.77
Landsat8	OLI	16	15/30	0.43~0.88
GF-1	PMS	4	2/8	0.45~0.89
GF-2	PMS	5	0.8/3.2	0.45~0.9
EO-1	Hyperion	5	30	0.4~2.5
HJ-1A/B	HSI	4	100	0.45~0.95
FY3	MERSI	5.5	250/500/1 000	0.4~12.5
Sentinel2	MSI	5	10/20/60	0.44~2.4
Sentinel3	OLCI	2	300/1 200	0.40~1.02
ZY1-02C	PMS	3	5/10	0.51~0.89
ZY3-02	MUX	5	2.1/2.5/5.8	0.45~0.89

监测任务	可信度模糊综合权重
监测任务	时间分辨率	覆盖率	空间分辨率	光谱分辨率
水质监测	0.15	0.20	0.24	0.41
库岸环境监测	0.19	0.20	0.36	0.25
干旱常规监测	0.21	0.22	0.18	0.39

面向水资源监测任务的星载多传感器组合方法

A Combined Method of Space-borne Multi-sensors for Water Resources Monitoring

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监测类型	优	中	差
水质监测	Sentinel2_MSI Landsat8_OLI GF2_PMS GF1_PMS ZY3-02	ZY1-02 Sentinel3_OLCI FY3_MERSI SPOT7_HRG	Terra/Aqua_MODIS ALOS_PRISM EO1-Hyperion HJ1_HSI
库岸环境监测	GF2_PMS GF1_PMS ZY3-02 SPOT7_HRG	ALOS_PRISM ZY1-02 Sentinel2_MSIL ANDSAT8_OLI HJ1_HSI	EO1-Hyperion FY3_MERSI Sentinel3_OLCI Terra/Aqua_MODIS
干旱常规监测	HJ1_HSI FY3_MERSI Terra/Aqua_ MODIS Sentinel3_OLCI	Landsat8_OLI Sentinel2_MSI EO1-Hyperion	ZY1-02 ZY3-02 SPOT7_HRG GF1_PMS ALOS_PRISM GF2_PMS

监测任务	组合方案	覆盖率/%
水质监测	Sentinel2_MSI+Landsat8_OLI	100
库岸环境监测	GF2_PMS+GF1_PMS+ZY3-02	100
干旱常规监测	FY3_MERSI+FY3_MERSI	100