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Monitoring turbidity from above: Deploying small unoccupied aerial vehicles to image in‐stream turbidity

机译:从上方监控浊度:部署小型无人飞行器以对流中浊度成像

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Small unoccupied aerial systems (sUASs) are increasingly applied to study hydrologic processes and water quality. Here, we evaluate a novel application of sUAS to stream turbidity monitoring, with the goal of extending analyses implemented with satellite remote sensing to enable high resolution, rapid collection of turbidity imagery along smaller waterbodies. To accomplish this, we collected multispectral imagery using two sUAS platforms under a range of environmental conditions along a local creek in Syracuse, NY. In addition, we collected in situ turbidity observations immediately after each flight along several transects along the creek, as well as within a clear plume created by a natural spring entering the main channel of the creek. The in situ turbidity values were compared with the mean and standard deviation of several single-band and multiband indices extracted along similar transects from the sUAS flights. On the basis of data collected across several flights, we found optical metrics obtained from multispectral imagery correlated well with in situ turbidity measurements. Though many optical metrics yielded strong relationships considering only values within the main channel, values associated with the red band were strongly related to turbidity estimates from the main channel as well as lower turbidity values observed in the spring plume. Although there are still limitations of this approach associated with variable field conditions, results from this proof of concept analysis show that sUASs offer a promising avenue for cost-effective turbidity monitoring.
机译:小型空置航空系统(sUAS)越来越多地用于研究水文过程和水质。在这里,我们评估了sUAS在流浊度监测中的一种新颖应用,其目标是扩展利用卫星遥感技术进行的分析,以实现高分辨率,快速收集沿较小水体的浊度图像。为了实现这一目标,我们在纽约锡拉丘兹市的一条小河沿线的一系列环境条件下,使用两个sUAS平台收集了多光谱图像。此外,我们在沿着小溪的多个断面每次飞行之后,以及在天然水进入小溪的主要水道而形成的清晰羽流中,都立即收集了现场浊度观测值。将原地浊度值与从sUAS飞行沿相似样线提取的几个单波段和多波段指数的平均值和标准偏差进行比较。根据几次飞行收集的数据,我们发现从多光谱图像获得的光学指标与原地浊度测量值非常相关。尽管许多光学指标仅考虑主通道内的值就产生了很强的关系,但与红色波段关联的值与主通道的浊度估算值以及在春季羽流中观察到的较低浊度值密切相关。尽管这种方法与可变现场条件相关联仍然存在局限性,但从概念验证分析的结果表明,sUAS为成本效益的浊度监测提供了有希望的途径。

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