Hyperspectral data of a submerged tarpaulin at Whitlingham Broad, UK, 2021

Unmanned Aerial Vehicle (UAV) hyperspectral data collected on 19/08/2021, imagining an artificial 10x10m tarpaulin deployed in Whitlingham broad (Norwich, UK). This dataset was collected in a collaboration with Texo (https://www.texo.co.uk/) and Headwall (https://www.headwallphotonics.com/) using a visible-near infrared (VNIR) sensor (400 - 1000 nm). The purpose of the data collection was to better understand the attenuation of plastic spectral signature in the freshwater environment and the effect of water. The raw images were converted to radiance, using a factory-built radiometric calibration in Spectral View version 3.2 software. Consequently a “scene White Reference” was generated using a 56% white calibration panel. Consequently, radiance was converted into reflectance at a spectral resolution of 2.2 nm, resulting in 273 bands, with spectral range between 400 - 1000 nm. The images were orthorectified using a Digital Elevation Model (DEM) and the latitude and longitude associated with every image. This process generated Input GeoMetry, which was used for mosaicking and was exported as an ENVI (.hdr) file. The final orthorectified datacube has a ground sampling distance of ~1.9 cm. The processing of the datacube was conducted by Headwall.

本数据集为2021年8月19日采集的无人机（Unmanned Aerial Vehicle, UAV）高光谱数据，拍摄对象为部署于英国诺里奇市惠特林汉姆湿地（Whitlingham Broad）的一块人工10×10米防水帆布。本数据集由与特克索（Texo，https://www.texo.co.uk/）和海德沃尔（Headwall，https://www.headwallphotonics.com/）合作采集，使用了可见近红外（visible-near infrared, VNIR）传感器（覆盖波段范围400~1000 nm）。本次数据采集的目的在于深入探究淡水环境中塑料光谱特征的衰减特性以及水体的影响效应。原始影像通过Spectral View 3.2版本软件中的工厂内置辐射定标流程被转换为辐射亮度数据；随后利用56%灰阶校准板生成了“场景白参考”（scene White Reference），进而将辐射亮度数据转换为反射率数据，光谱分辨率为2.2 nm，最终得到覆盖400~1000 nm波段范围的273个光谱波段。后续借助数字高程模型（Digital Elevation Model, DEM）以及单张影像对应的经纬度信息对所有影像进行正射校正，该流程生成的输入几何信息被用于影像拼接，并以ENVI（.hdr）格式导出。最终的正射校正数据立方体的地面采样距离约为1.9 cm。本数据立方体的处理工作由Headwall完成。