Aerial detection of beached marine plastic using a novel, hyperspectral short-wave infrared (SWIR) camera
Aerial detection of beached marine plastic using a novel, hyperspectral short-wave infrared (SWIR) camera
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DOI：
10.1093/icesjms/fsac006
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发表时间：
2022-02-08
影响因子：
3.3
通讯作者：
Williamson, Benjamin J.
中科院分区：
文献类型：
--
作者：
Cocking, Jennifer;Narayanaswamy, Bhavani E.;Williamson, Benjamin J.
海洋环境中的塑料污染是一个普遍的全球性问题，威胁着野生动物和人类健康。需要进行例行监测，以确定污染热点，集中清理工作，并评估为减少环境污染而实施的立法的效力。相对于开阔水域而言，海岸线是一个可以进入的区域，可以从那里进行监测。无人驾驶飞行器（UAV）提供了一个低成本的遥感平台，在云层覆盖下运行，这可能会干扰卫星图像。然而，使用可见光检测塑料是有限的，使用短波红外（SWIR）图像收集化学信息可能会改善结果。在商业回收行业中，塑料物品根据其成分使用SWIR仪器成功分类，该仪器在受控照明下测量废物物品的化学光谱。在这里，概念验证是建立在自然阳光下的海滩上的家庭和海岸线收获的塑料物品的空中检测与重量轻（800克），高光谱短波红外相机部署在类似的高度为5米，超过类似的30米的横断面。将成像光谱与聚乙烯和聚丙烯参考光谱进行比较的光谱相关映射的结果表明，这两种聚合物可以用这种新方法成功地检测。
Plastic pollution in the marine environment is a pervasive, global problem that threatens wildlife and human health. Routine monitoring is required to determine pollution hotspots, focus clean-up efforts, and assess the efficacy of legislation implemented to reduce environmental contamination. The shoreline represents an accessible area, relative to open water, from which to monitor this. Unmanned aerial vehicles (UAVs) offer a low-cost platform for remote sensing that operates below cloud coverage, which can interfere with satellite imagery. Detection of plastic using visible light is limited however, and results may be improved by using short-wave infrared (SWIR) imagery to collect chemical information. Within the commercial recycling industry, plastic items are sorted successfully based on their composition using SWIR instrumentation that measures the chemical spectra of waste items under controlled illumination. Here, proof of concept is established for aerial detection of domestic and shoreline-harvested plastic items on a beach under natural sunlight with a lightweight (800 g), hyperspectral SWIR camera deployed at an altitude of similar to 5 m over similar to 30-m transects. The results of spectral correlation mapping to compare imagery spectra to polyethylene and polypropylene reference spectra demonstrate that these two polymers can be successfully detected with this novel method.