杨雷, 禹定峰, 高皜, 卞晓东, 刘晓燕, 盖颖颖, 安德玉, 周燕, 唐世林. Sentinel-2的胶州湾水体透明度遥感反演[J]. 红外与激光工程, 2021, 50(12): 20210080. DOI: 10.3788/IRLA20210080
引用本文: 杨雷, 禹定峰, 高皜, 卞晓东, 刘晓燕, 盖颖颖, 安德玉, 周燕, 唐世林. Sentinel-2的胶州湾水体透明度遥感反演[J]. 红外与激光工程, 2021, 50(12): 20210080. DOI: 10.3788/IRLA20210080
Yang Lei, Yu Dingfeng, Gao Hao, Bian Xiaodong, Liu Xiaoyan, Gai Yingying, An Deyu, Zhou Yan, Tang Shilin. Remote sensing retrieval of secchi disk depth in Jiaozhou Bay using Sentinel-2 MSI image[J]. Infrared and Laser Engineering, 2021, 50(12): 20210080. DOI: 10.3788/IRLA20210080
Citation: Yang Lei, Yu Dingfeng, Gao Hao, Bian Xiaodong, Liu Xiaoyan, Gai Yingying, An Deyu, Zhou Yan, Tang Shilin. Remote sensing retrieval of secchi disk depth in Jiaozhou Bay using Sentinel-2 MSI image[J]. Infrared and Laser Engineering, 2021, 50(12): 20210080. DOI: 10.3788/IRLA20210080

Sentinel-2的胶州湾水体透明度遥感反演

Remote sensing retrieval of secchi disk depth in Jiaozhou Bay using Sentinel-2 MSI image

  • 摘要: 针对目前透明度遥感反演研究多以较低空间分辨率卫星数据为主的现状,采用分辨率高达10 m的Sentinel-2卫星数据进行了胶州湾海域水体透明度的遥感反演研究。构建了基于实测数据的反演模型。结果表明:模型具有较高的精度,反演值与实测值的平均相对误差为9.86%,均方根误差为0.22 m。依据构建的反演模型与卫星影像数据反演了胶州湾水体的透明度,绘制了水体的透明度分布图,分析了胶州湾海域水体透明度的空间分布规律和局部的细微变化特征。研究发现,胶州湾海域水体透明度呈现由近岸向外海逐渐升高的趋势,径流量大的河流会造成汇入海域透明度明显降低的变化,潮汐会引起透明度出现沿垂直于岸边方向的纹理变化特征,大型船只的通航会造成透明度短时降低的变化。

     

    Abstract: In view of the current situation that the existing research of retrieval of secchi disk depth (SDD) was mostly based on lower resolution satellite data, the retrieval of secchi disk depth had been carried out using Sentinel-2 MSI image with a resolution of up to 10 m in Jiaozhou Bay. A retrieval model based on measured data was constructed. The results show that the retrieval model has high accuracy. The average relative error between the inversion value and the measured value is 9.86%, and the root mean square error is 0.22 m. Based on the constructed retrieval model and Sentinel-2 MSI image, the SDD in Jiaozhou Bay was inverted, the SDD distribution map was drawn, and the spatial distribution and local subtle change characteristics of the SDD in Jiaozhou Bay were analyzed. The study found that the SDD of Jiaozhou Bay showed a trend of gradually increasing from the coast to the sea. Rivers with large runoff caused changes that significantly reduce the SDD near the mouth of the river. The tide caused the texture change characteristics of SDD to appear along the direction perpendicular to the shore. The navigation of large vessels caused a short-term decrease of SDD.

     

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