University of South Florida, 140 Seventh Avenue, South, St. Petersburg, FL 33701, USA.
Mar Pollut Bull. 2022 Oct;183:114082. doi: 10.1016/j.marpolbul.2022.114082. Epub 2022 Sep 5.
Remote detection of marine debris (also called marine litter) has received increased attention in the past decade, with the Multispectral Instruments (MSI) onboard the Sentinel-2A and Sentinel-2B satellites being the most used sensors. However, because of their mixed band resolutions and small sub-pixel coverage of debris within a pixel (e.g., <10 %), caution is required when interpreting the spectral shapes of MSI pixels. Otherwise, the spectrally distorted shapes may be misused as spectral endmembers (signatures) or interpreted as from certain types of floating matters. Here, using simulations and MSI data, I show the origin of the spectral distortions and emphasize why both pixel averaging and pixel subtraction are critical in algorithm design and spectral interpretation for the purpose of remote detection of marine debris using Sentinel-2 MSI sensors.
在过去十年中，人们越来越关注海洋垃圾（也称为海洋废弃物）的远程探测，搭载在 Sentinel-2A 和 Sentinel-2B 卫星上的多光谱仪器（MSI）是使用最多的传感器。然而，由于它们的混合带宽分辨率和像素内垃圾的小亚像素覆盖（例如，<10%），在解释 MSI 像素的光谱形状时需要谨慎。否则，光谱变形的形状可能被错误地用作光谱端元（特征）或解释为来自某些类型的漂浮物。在这里，我使用模拟和 MSI 数据展示了光谱变形的来源，并强调了在使用 Sentinel-2 MSI 传感器进行海洋垃圾远程探测的算法设计和光谱解释中，像素平均和像素相减都至关重要的原因。
