Changes in turbidity along Ganga River using Sentinel-2 satellite data during lockdown associated with COVID-19
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 chang...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2020-01-01
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| Series: | Geomatics, Natural Hazards & Risk |
| Subjects: | |
| Online Access: | http://dx.doi.org/10.1080/19475705.2020.1782482 |
| _version_ | 1818669200857628672 |
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| author | Vaibhav Garg Shiv Prasad Aggarwal Prakash Chauhan |
| author_facet | Vaibhav Garg Shiv Prasad Aggarwal Prakash Chauhan |
| author_sort | Vaibhav Garg |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-17T06:48:26Z |
| format | Article |
| id | doaj.art-fb55d68bc105450eaf8df00d14b08f7d |
| institution | Directory Open Access Journal |
| issn | 1947-5705 1947-5713 |
| language | English |
| last_indexed | 2024-12-17T06:48:26Z |
| publishDate | 2020-01-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Geomatics, Natural Hazards & Risk |
| spelling | doaj.art-fb55d68bc105450eaf8df00d14b08f7d2022-12-21T21:59:41ZengTaylor & Francis GroupGeomatics, Natural Hazards & Risk1947-57051947-57132020-01-011111175119510.1080/19475705.2020.17824821782482Changes in turbidity along Ganga River using Sentinel-2 satellite data during lockdown associated with COVID-19Vaibhav Garg0Shiv Prasad Aggarwal1Prakash Chauhan2Water Resources Department, Indian Institute of Remote SensingWater Resources Department, Indian Institute of Remote SensingIndian Institute of Remote SensingIndia 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.http://dx.doi.org/10.1080/19475705.2020.1782482water qualityturbidityremote sensingreflectanceganga riverlockdown; ndti; covid-19 |
| spellingShingle | Vaibhav Garg Shiv Prasad Aggarwal Prakash Chauhan Changes in turbidity along Ganga River using Sentinel-2 satellite data during lockdown associated with COVID-19 Geomatics, Natural Hazards & Risk water quality turbidity remote sensing reflectance ganga river lockdown; ndti; covid-19 |
| title | Changes in turbidity along Ganga River using Sentinel-2 satellite data during lockdown associated with COVID-19 |
| title_full | Changes in turbidity along Ganga River using Sentinel-2 satellite data during lockdown associated with COVID-19 |
| title_fullStr | Changes in turbidity along Ganga River using Sentinel-2 satellite data during lockdown associated with COVID-19 |
| title_full_unstemmed | Changes in turbidity along Ganga River using Sentinel-2 satellite data during lockdown associated with COVID-19 |
| title_short | Changes in turbidity along Ganga River using Sentinel-2 satellite data during lockdown associated with COVID-19 |
| title_sort | changes in turbidity along ganga river using sentinel 2 satellite data during lockdown associated with covid 19 |
| topic | water quality turbidity remote sensing reflectance ganga river lockdown; ndti; covid-19 |
| url | http://dx.doi.org/10.1080/19475705.2020.1782482 |
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