基于星载GNSS-R技术监测湖泊水域面积变化

周志凌; 管栋良; 李思思; 夏逸旻

doi:10.13700/j.bh.1001-5965.2024.0411

基于星载GNSS-R技术监测湖泊水域面积变化

doi: 10.13700/j.bh.1001-5965.2024.0411

周志凌¹,
管栋良^{1, 2, ,},
李思思³,
夏逸旻¹

1.
南京工业大学测绘科学与技术学院，南京 211816
2.
中国科学院空天信息创新研究院，北京 100094
3.
中国科学院精密测量科学与技术创新研究院，武汉 430077

基金项目:

国家重点研发计划(2021FBY3901301)；国家自然科学基金面上项目(42271420)；江苏省自然科学基金青年基金项目(BK20220366)；江苏省自然资源厅科技创新项目经费资助(JSZRKJ202406)

详细信息

通讯作者:
E-mail：guan.dongliang@njtech.edu.cn

中图分类号: P237
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出版历程
- 收稿日期: 2024-06-06
- 录用日期: 2024-10-26
- 网络出版日期: 2024-10-30
- 整期出版日期: 2025-12-31

Monitoring lake water area change based on spaceborne GNSS-R technology

1.
Nanjing Tech University，Nanjing 211816，China
2.
Aerospace Information Research Institute，Chinese Academy of Sciences，Beijing 100094，China
3.
Innovation Academy for Precision Measurement Science and Technology，Chinese Academy of Sciences，Wuhan 430077，China

Funds:

National Key Research and Development Program of China (2021FBY3901301); National Natural Science Foundation of China General Program (42271420); Natural Science Foundation for Young Scientist of Jiangsu Province, China (BK20220366); Funded by Science and Technology Innovation Project of Jiangsu Provincial Department of Natural Resources, China (JSZRKJ202406)

More Information

Corresponding author: E-mail：guan.dongliang@njtech.edu.cn

摘要

摘要:
鄱阳湖是中国第一大淡水湖，其水域面积变化对水资源管理、灾害防控和社会经济发展等多个方面具有重要的影响。利用星载全球导航卫星系统反射(GNSS-R)技术对湖泊水域面积进行估算。基于星载GNSS-R地表反射模型和GNSS-R卫星旋风卫星导航系统(CYGNSS)的观测数据，计算得到鄱阳湖区域的地表反射率；利用网格化插值并通过阈值法进行水域范围的识别；根据水体的格网数量及其空间分辨率进行水域面积计算。研究表明：基于星载GNSS-R技术提取的鄱阳湖水域面积与Sentinel-1卫星和Sentinel-2卫星图像处理得到的鄱阳湖水域面积之间存在显著的相似度，皮尔逊相关系数分别为0.91和0.94。以Sentinel-2卫星的结果为参考，基于CYGNSS和Sentinel-1卫星获取的鄱阳湖水域面积月平均偏差值分别为315.42 km²和271.45 km²，对应的月平均偏差百分比分别为17.2%和13.1%。进一步验证了星载GNSS-R技术在高时空分辨率的湖泊水域面积监测中的可靠性和应用前景，可为水资源管理和灾害防控等提供数据支持。
- 星载GNSS-R技术 /
- CYGNSS /
- Sentinel-1 /
- Sentinel-2 /
- 湖泊水域面积监测 /
- 阈值法
Abstract:
Poyang Lake is the largest freshwater lake in China, and its changes in water area have a significant impact on water resource management, disaster prevention and control, and socio-economic development. This study focuses on the application of the spaceborne global navigation satellite system-reflectometry (GNSS-R) technology in monitoring the area changes of the lake. Using the cyclone global navigation satellite system (CYGNSS) satellite's observation data, the surface reflectance is computed as a characteristic parameter based on the GNSS-R scattering model. Additionally, the water area is identified and computed. The specific steps are as follows: based on the satellite GNSS-R surface reflectance calculation model, the surface reflectance of the Poyang Lake area is first calculated. Then, the location of the water is identified by using the grid interpolation and threshold method. Finally, the water area is estimated based on the number of grids passing through water bodies and their spatial resolution. The results of the water area computation method suggested in this study are also evaluated using Sentinel-1 and Sentinel-2 remote sensing pictures to confirm its efficacy. This study shows that there is a significant similarity between the water area of Poyang Lake extracted from spaceborne GNSS-R technology and the water area of Poyang Lake obtained from Sentinel-1 and Sentinel-2. The Pearson correlation coefficients between them are 0.91 and 0.94, respectively. Based on the results of Sentinel-2, the monthly average deviation of the water area of Poyang Lake based on CYGNSS and Sentinel-1 was 315.42 km² and 271.45 km², respectively, and the corresponding monthly average deviation percentages were 17.2% and 13.1%, respectively. This study furtherly verifies the reliability and the application prospects of spaceborne GNSS-R technology in monitoring lake water areas with high spatiotemporal resolution, providing data support for water resource management and disaster prevention.
- spaceborne GNSS-R technology /
- CYGNSS /
- Sentinel-1 /
- Sentinel-2 /
- monitoring of lake water area /
- threshold method

HTML全文

图 1 鄱阳湖卫星图和边界矢量图

Figure 1. (a) Satellite image boundary vector and image of Poyang Lake

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图 2 基于星载GNSS-R水体识别方法总流程

Figure 2. Flowchart of water body identification method based on spaceborne GNSS-R

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图 3 基于CYGNSS卫星计算得到的2022年鄱阳湖地表反射率

Figure 3. Scatter plot of surface reflectance of Poyang Lake during 2022 based on CYGNSS satellite calculation

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图 4 修正后的6月和7月鄱阳湖地表反射率图

Figure 4. Scatter plot of surface reflectance correction in June and July

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图 5 基于CYGNSS卫星的2022年鄱阳湖地表反射率插值结果

Figure 5. Interpolation results of surface reflectance of Poyang Lake during 2022 based on CYGNSS satellite

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图 6 不同反射率阈值下，CYGNSS与Sentinel-1和Sentinel-2提取的鄱阳湖水域面积RMSE值

Figure 6. RMSE values of water area of Poyang Lake extracted by CYGNSS and Sentinel-1, Sentinel-2 under different reflectance thresholds

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图 7 不同反射率阈值下，CYGNSS与Sentinel-1卫星和Sentinel-2卫星提取的鄱阳湖水域面积RMSE值

Figure 7. RMSE values of water area of Poyang Lake extracted by CYGNSS and Sentinel-1, Sentinel-2 under different reflectance thresholds

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图 8 基于CYGNSS卫星的2022年鄱阳湖水体分离结果

Figure 8. Separation results of Poyang Lake water body in 2022 based on CYGNSS satellite

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图 9 基于星载CYGNSS卫星反演得到的鄱阳湖2022年的水域面积

Figure 9. Water area of Poyang Lake in 2022 based on spaceborne CYGNSS satellite

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图 10 基于Sentinel-1卫星影像数据的鄱阳湖水体分离结果

Figure 10. Separation results of Poyang Lake water body based on Sentinel-1 image data

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图 11 基于Sentinel-2卫星影像数据的鄱阳湖水体分离结果

Figure 11. Separation results of Poyang Lake water body based on Sentinel-2 image data

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图 12 基于Sentinel-1/ Sentinel-2卫星反演得到的鄱阳湖2022年水域面积

Figure 12. Sentinel-1/ Sentinel-2 image separation of water body area in Poyang Lake in 2022

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图 13 2022年鄱阳湖水域面积对比

Figure 13. Comparison of Poyang Lake water area in 2022

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图 14 基于星载GNSS-R技术提取与Sentinel-1/Sentinel-2卫星影像处理得到的鄱阳湖水域面积结果相似度分析

Figure 14. Similarity analysis between the Poyang Lake water area results extracted based on satellite GNSS-R technology and the Poyang Lake water area results obtained from Sentinel-1 /Sentinel-2 image processing

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图 15 基于CYGNSS、Sentinel-1卫星和Sentinel-2卫星获取的鄱阳湖水域面积之间的差值及差值百分比

Figure 15. Difference between water area of Poyang Lake and percentage of difference obtained based on CYGNSS, Sentinel-1 and Sentinel-2

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