Reproduction of the Marine Debris Distribution in the Seto Inland Sea Immediately after the July 2018 Heavy Rains in Western Japan Using Multidate Landsat-8 Data
Reproduction of the Marine Debris Distribution in the Seto Inland Sea Immediately after the July 2018 Heavy Rains in Western Japan Using Multidate Landsat-8 Data
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DOI：
10.3390/rs13245048
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发表时间：
2021-12
期刊：
影响因子：
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通讯作者：
Shilin Song;Y. Sakuno;N. Taniguchi;H. Iwashita
中科院分区：
文献类型：
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作者：
Shilin Song;Y. Sakuno;N. Taniguchi;H. Iwashita
了解暴雨灾害后海洋的时空环境对于卫星遥感研究和防灾至关重要。我们试图利用2018年7月日本西部暴雨灾害后立即获得的Landsat-8光谱反射率的多数据重现海洋垃圾分布的变化。清洁船提供的数据被用于筛选海洋废弃物区域。由于大多数目标海洋废弃物由植物碎片组成，因此对Landsat-8数据采用了一种基于经校正的漂浮藻类指数的方法。来自清洁船的数据表明，大部分海洋垃圾积聚在濑户内海的阿基那田北方的沃茨。从Landsat-8数据中获得的相应海洋废弃物光谱反射率的光谱特征由FAI解释，波段5（中心波长：865 nm）为最大值。与传统的FAI不同，cFAI消除了背景水浊度的影响。大津法是一种有效的自动阈值测定方法。虽然大地卫星8号数据的空间分辨率和观测频率有限，但这些数据有助于了解暴雨灾害后海洋废弃物的分布情况。
Understanding the spatiotemporal environment of the ocean after a heavy rain disaster is critical for satellite remote sensing research and disaster prevention. We attempted to reproduce changes in marine debris distributions using multidate data of Landsat-8 spectral reflectance acquired immediately after a heavy rain disaster in western Japan in July 2018. Data from cleaning ships were used for screening the marine debris area. As most of the target marine debris consisted of plant fragments, a method based on the corrected floating algae index (cFAI) was applied to Landsat-8 data. Data from cleaning ships clarify that most of the marine debris accumulated in the waters in the northern part of Aki Nada, a part of the Seto Inland Sea. The spectral characteristics of the corresponding marine debris spectral reflectance obtained from the Landsat-8 data were explained by the FAI with band 5 (central wavelength: 865 nm) as the maximum value. Unlike traditional FAI, cFAI eliminated the effect of background water turbidity. The Otsu method was effective for the automatic threshold determination for cFAI. Although Landsat-8 data have limited spatial resolution and observation frequency, these data were useful for understanding marine debris distribution after a heavy rain disaster.