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星载GNSS-R检测太湖水华可行性分析

张云 王雨 周绍辉 孟婉婷 韩彦岭 杨树瑚

张云,王雨,周绍辉,等. 星载GNSS-R检测太湖水华可行性分析[J]. 北京航空航天大学学报,2024,50(3):695-705 doi: 10.13700/j.bh.1001-5965.2022.0298
引用本文: 张云,王雨,周绍辉,等. 星载GNSS-R检测太湖水华可行性分析[J]. 北京航空航天大学学报,2024,50(3):695-705 doi: 10.13700/j.bh.1001-5965.2022.0298
ZHANG Y,WANG Y,ZHOU S H,et al. Analysis on feasibility of detecting water blooms in Taihu Lake with spaceborne GNSS-R[J]. Journal of Beijing University of Aeronautics and Astronautics,2024,50(3):695-705 (in Chinese) doi: 10.13700/j.bh.1001-5965.2022.0298
Citation: ZHANG Y,WANG Y,ZHOU S H,et al. Analysis on feasibility of detecting water blooms in Taihu Lake with spaceborne GNSS-R[J]. Journal of Beijing University of Aeronautics and Astronautics,2024,50(3):695-705 (in Chinese) doi: 10.13700/j.bh.1001-5965.2022.0298

星载GNSS-R检测太湖水华可行性分析

doi: 10.13700/j.bh.1001-5965.2022.0298
基金项目: 国家自然科学基金(41871325,42176175);国家重点研发计划(2019YFD0900805)
详细信息
    通讯作者:

    E-mail:shyang@shou.edu.cn

  • 中图分类号: P715.6

Analysis on feasibility of detecting water blooms in Taihu Lake with spaceborne GNSS-R

Funds: National Natural Science Foundation of China (41871325,42176175); National Key R & D Program of China (2019YFD0900805)
More Information
  • 摘要:

    星载全球导航卫星系统反射信号(GNSS-R)属于被动遥感技术,具有数据重访周期高、全天时、全天候、信号源丰富等优势。基于此,研究星载GNSS-R检测太湖水华的可行性。星载GNSS-R可以有效检测反射面的粗糙程度,通过使用相干反射表征反射面的粗糙度,研究不同风速区间内相干反射与蓝藻水华的关系。利用2020年4—8月美国气旋全球导航卫星系统(CYGNSS)数据,计算CYGNSS镜面反射点的时延多普勒图(DDM)功率比。以“哨兵-3”卫星水色遥感仪器(OLCI) 影像最大特征峰高度(MPH)算法反演出的太湖叶绿素浓度作为参照,与欧洲中期天气预报中心(ECMWF)的风速产品进行时空间线性匹配,分析发现,在1~2.5 m/s风速区间内,叶绿素浓度达到0.1 mg/L以上时,极易引起镜面反射点发生相干反射,且功率比与叶绿素浓度的相关系数为0.84,具有良好的相关性。实验结果证明了利用星载GNSS-R的功率比及相关特性实现太湖水华检测的可行性。

     

  • 图 1  时延多普勒单元与反散射面之间的关系

    Figure 1.  Relationship between delayed Doppler cells and backscattering surfaces

    图 2  反射面粗糙度与电磁波散射的关系

    Figure 2.  Relationship between reflection surface roughness and electromagnetic scattering

    图 3  DDM峰值功率值与风速的关系

    Figure 3.  Relationship between DDM peak power and wind speed

    图 4  CYGNSS筛选范围(紫色区域)

    Figure 4.  CYGNSS filter range (purple region)

    图 5  2020年6月30日“哨兵-3”卫星反演的太湖叶绿素浓度分布

    Figure 5.  Chlorophyll concentration distribution in Taihu Lake retrieved by “Sentinel-3” satellite on June 30, 2020

    图 6  2020年6月30日CYGNSS镜面反射点叶绿素浓度与风速匹配图

    Figure 6.  Matching diagram of chlorophyll concentration and wind speed at CYGNSS specular reflection point on June 30, 2020

    图 7  数据处理流程

    Figure 7.  Data processing flow

    图 8  2类DDM热噪声去除前后对比及多普勒频移等于0时的切片

    Figure 8.  Two types of DDM thermal noise before and after removal and slices when Doppler frequency is equal to 0

    图 9  2020年4月太湖区域风速与功率比、相干反射分布图

    Figure 9.  Wind speed to power ratio and coherent reflection distribution map in Taihu Lake area in April, 2020

    图 10  匹配后镜面反射点功率比、风速与叶绿素浓度相关图

    Figure 10.  Diagram of correlation of PR, wind speed and chlorophyll concentration after matching

    图 11  功率比、叶绿素浓度拟合结果(风速为1~2.5 m/s)

    Figure 11.  Fitting results of power ratio and chlorophyll concentration (wind speed is 1−2.5 m/s)

    图 12  功率比、叶绿素浓度拟合结果(风速为2.5~4 m/s)

    Figure 12.  Fitting results of power ratio and chlorophyll concentration (wind speed is 2.5−4 m/s)

    表  1  “哨兵-3”卫星光学影像与CYGNSS匹配后的数据量(风速≥1 m/s)

    Table  1.   Data volume of “Sentinel-3” satellite optical image after matching CYGNSS (wind speed ≥ 1 m/s)

    日期匹配前数据量匹配后数据量
    2020年4月20日88
    2020年4月28日99
    2020年4月29日1812
    2020年5月3日2321
    2020年5月13日1515
    2020年5月19日2114
    2020年6月30日3123
    2020年8月2日1111
    2020年8月25日77
    下载: 导出CSV

    表  2  不同风速区间的异常数据统计

    Table  2.   Statistical of abnormal data in different wind speed intervals

    风速区间/(m·s−1) 镜面反射点总数 异常数据数量
    1~2.5 36 2
    2.5~4 59 22
    >4 25 0
    下载: 导出CSV
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出版历程
  • 收稿日期:  2022-04-29
  • 录用日期:  2022-05-27
  • 网络出版日期:  2022-05-31
  • 整期出版日期:  2024-03-27

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