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Changes in turbidity along Ganga River using Sentinel-2 satellite data during lockdown associated with COVID-19

机译:与Covid-19相关联的锁定期间使用Sentinel-2卫星数据浊度浊度的变化

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India had announced the longest ever lockdown from 25 March 2020 to 14 April 2020 amid COVID-19 pandemic. It was reported that the water quality of the Ganga River has improved as compared to regular during this country-wide lockdown. In the present study, an attempt has been made to study the change in water quality of the river in terms of turbidity purely through remote sensing data, in the absence of ground observations, especially during this time period. The change in spectral reflectance of water along the river in the visible region has been analyzed using the Sentinel-2 multispectral remote sensing data at Haridwar, Kanpur, Prayagraj, and Varanasi stretches of the river. In the present study, it was found that the red and NIR bands are most sensitive, and can be used to estimate the turbidity. Further, the temporal variation in turbidity was also analyzed through normalized difference turbidity index at each location. It was observed that the turbidity in the river has reduced drastically at each stretch of the river. The study elicited that the remote sensing approach can be used to make qualitative estimates on turbidity, even in the absence of field observations.
机译:印度宣布从2020年3月25日至4月14日在2020年4月14日下宣布了最长的锁值锁定。据报道,与这个国家宽的锁定期间,甘河河的水质有所改善。在本研究中,在没有地面观测的情况下,已经通过遥感数据纯粹通过遥感数据来研究浑浊的水质变化,特别是在没有地面观察中,特别是在此时间段内。使用Haridwar,Kanpur,Prayagraj和河流的varanasi延伸的Sentinel-2多光谱遥感数据分析了可见区域沿着河流沿河流沿河流的频谱反射变化。在本研究中,发现红色和NIR带最敏感,可用于估计浊度。此外,还通过每个位置的归一化差异浊度指数分析浊度的时间变化。人们观察到河流中的浊度在河的每个河流上都减少了。该研究引发了遥感方法可用于在没有现场观察的情况下使浊度对浊度进行定性估计。

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