Sentinel 2 manually extracted deep water spectra with high noise levels and sunglint

This dataset includes 2.133.324 reflectance water spectra which were manually extracted by visual observation from 30 Sentinel 2 level 1C satellite images. The spectra were extracted from deep water areas with high noise levels and sunglint. The Sentinel 2 images depicted 2 tiles of the same orbit and were collected in 2016 (2 images), 2017 (19 images) and 2018 (9 images). The images contain 13 bands, 3 with 60 m spatial resolution, 4 with 10 m spatial resolution and 6 with 20 m spatial resolution. Before the spectra extraction, the bands with spatial resolution 10 and 20 m were resampled to 60 m and then the images were cropped in order to remove the land and depict optically homogenous sea regions. A figure depicting the location of the Sentinel 2 tiles (white polygons (1,2)) and the cropped tiles (red polygons (3,4)) is included in this folder. A figure depicting example scenes from which spectra were obtained through regions of interest (rois) is included as well. The spectra are stored in .csv files. Each file is named after the name of the Sentinel 2 product which includes sensing and creation date as well the relative orbit number and tile code. The content of each file includes latitude and longitude coordinates (UTM/WGS84 projection) of each spectral signature as well as the reflectance values of the 13 Sentinel 2 bands.<br>This dataset was created for the purpose of the study described in https://www.tandfonline.com/doi/full/10.1080/01431161.2020.1714776<br>本数据集包含2,133,324条水体反射光谱，所有光谱均通过目视解译从30幅Sentinel 2 Level-1C级卫星影像中手动提取。光谱提取自高噪声且存在太阳耀斑的深水区。该Sentinel 2影像涵盖同一轨道的2个幅面，采集时间分布为2016年（2幅）、2017年（19幅）与2018年（9幅）。该影像包含13个波段，其中3个空间分辨率为60米，4个为10米，6个为20米。在提取光谱前，研究人员先将10米与20米分辨率的波段重采样至60米，随后对影像进行裁切以剔除陆地区域，保留光学特性均一的海域。本文件夹中包含两幅示意图：其一展示了Sentinel 2原始幅面（白色多边形1、2）与裁切后幅面（红色多边形3、4）的位置分布；其二展示了通过感兴趣区域（ROI）提取光谱的示例场景。所有光谱均存储于.csv格式文件中，每个文件以对应Sentinel 2产品的名称命名，该名称包含传感与生成日期、相对轨道号以及幅面代码。每份文件的内容包含每条光谱特征的经纬度坐标（采用UTM/WGS84投影），以及13个Sentinel 2波段的反射率数值。本数据集专为https://www.tandfonline.com/doi/full/10.1080/01431161.2020.1714776所述研究构建。