利用与Covid-19大流行相关的Sentinel-2卫星数据对比哈尔邦巴特那恒河浊度的时空分析

G. Tripathi, Arvind Chandra Pandey, Bikash Ranjan Parida
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引用次数: 2

摘要

在2019冠状病毒病封锁期间(2020年3月24日至5月18日),印度恒河水质与正常日子相比有所改善。本研究试图从时空浑浊度的角度来强调河流水质的变化。本研究以遥感分析为基础。红色波段被称为最敏感的估计浊度。利用Sentinel-2A, B光学卫星数据,通过线性回归模型研究了浊度的时间变化。据观察,在封锁期之前(2020年3月3日),平均浊度估计为13.47 FTU(甲醛浊度单位),而在2020年4月2日,估计为11.74 FTU。此外,在2020年4月17日,增加了0.25个,估计为11.99个FTU。因此,可以得出结论,由于国家实施封锁导致的人为活动减少,河流的水质正在不断改善。该研究还显示了在没有实地观测的情况下,遥感方法对浊度进行定性估计的相关性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Spatio- Temporal Analysis of Turbidity in Ganga River in Patna, Bihar Using Sentinel-2 Satellite Data Linked with Covid-19 Pandemic
Ganga River’s water quality has been improved during COVID-19 lockdowns in India (24th March to 18th May, 2020) while comparing with the normal days. This study attempted to highlight the variation in river’s water quality in terms of spatio temporal turbidity. This study is based on the analysis of remote sensing. Red band known as the most sensitive to estimate turbidity. The temporal variation in turbidity was also investigated through linear regression model using Sentinel-2A, B optical satellite data. It was observed that before lockdown period as on 3rd March 2020, mean turbidity was estimated as 13.47 FTU (Formazine Turbidity Unit) and during as on 2nd April 2020, estimated as 11.74 FTU. Further, on 17th April 2020, it was increased with 0.25 and estimated as 11.99 FTU. Hence, it can be concluded that due to less anthropogenic activity led by the lockdown imposed in the country, water quality of the river is improving continuously. The study also exhibited the relevancy of remote sensing approach to make qualitative estimates on turbidity, when there are no field observations.
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