使用无人机监测温带洪泛区的水浊度:潜力和挑战

IF 2 4区 地球科学 Q3 REMOTE SENSING Canadian Journal of Remote Sensing Pub Date : 2022-07-04 DOI:10.1080/07038992.2022.2096580
Savannah Bussières, C. Kinnard, Maxime Clermont, Stéphane Campeau, Daphney Dubé-Richard, Pierre-André Bordeleau, Alexandre Roy
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引用次数: 2

摘要

摘要圣皮埃尔湖(LSP)宽(≈300 km2)和浅层(≈3 m) 圣劳伦斯河拓宽形成的湖泊。每年春天,这里都是魁北克省最大的泛滥平原。沿海地区的农业实践增加了水的浊度,使许多鱼类的栖息地质量恶化。然而,测量LSP泛滥平原的时空浊度模式仍然很困难,因为浊度在空间和时间上高度可变。本研究旨在评估使用无人机(UAV)测量LSP泛滥平原水浊度的潜力。结果表明,无人机可以有效地测量LSP中浊度的变化,RMSE为28.22 FNU。我们还将无人机获取的浊度与哨兵2号观测的浊度进行了比较。结果表明,即使Sentinel-2产生了更好的结果,这两个模型也是可比较的。然而,在使用无人机进行浊度监测时仍然存在挑战,例如在大型水体上创建马赛克的软件限制。然而,高空间和时间信息可以深入了解洪泛平原复杂的水浊度模式。该方法有助于土地利用管理,以改善这些生态系统的水质。
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Monitoring Water Turbidity in a Temperate Floodplain Using UAV: Potential and Challenges
Abstract The Lake Saint-Pierre (LSP) is a wide (≈300 km2) and shallow (≈3 m) lake created through a widening of the St. Lawrence River. Each spring, freshet makes it the largest floodplain in the province of Quebec. Agricultural practices in the littoral increase the water turbidity, which deteriorate the habitat’s quality of many fish species. However, measuring spatio-temporal turbidity patterns in the LSP floodplain remain difficult because turbidity is highly variable in space and time. This study aims to evaluate the potential to use an Unmanned Aerial Vehicle (UAV) to measure the water turbidity in the LSP’s floodplain. The results show that the UAV can efficiently measure the variation of turbidity in the LSP with a RMSE of 28.22 FNU. We also compared the turbidity retrieved from UAV with those retrieved from Sentinel-2 observations. The results show that the two models are comparable, even if Sentinel-2 yields better results. However, challenges remain when using UAV for turbidity monitoring, such as software limitations for mosaics creation over large water bodies. Nevertheless, the high spatial and temporal information can provide insights into the complex water turbidity patterns which characterize floodplains. The method could help land use management to improve the water quality of these ecosystems.
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来源期刊
自引率
3.80%
发文量
40
期刊介绍: Canadian Journal of Remote Sensing / Journal canadien de télédétection is a publication of the Canadian Aeronautics and Space Institute (CASI) and the official journal of the Canadian Remote Sensing Society (CRSS-SCT). Canadian Journal of Remote Sensing provides a forum for the publication of scientific research and review articles. The journal publishes topics including sensor and algorithm development, image processing techniques and advances focused on a wide range of remote sensing applications including, but not restricted to; forestry and agriculture, ecology, hydrology and water resources, oceans and ice, geology, urban, atmosphere, and environmental science. Articles can cover local to global scales and can be directly relevant to the Canadian, or equally important, the international community. The international editorial board provides expertise in a wide range of remote sensing theory and applications.
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