G. Tripathi, Arvind Chandra Pandey, Bikash Ranjan Parida
{"title":"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","authors":"G. Tripathi, Arvind Chandra Pandey, Bikash Ranjan Parida","doi":"10.1109/InGARSS48198.2020.9358965","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":6797,"journal":{"name":"2020 IEEE India Geoscience and Remote Sensing Symposium (InGARSS)","volume":"1 1","pages":"29-32"},"PeriodicalIF":0.0000,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Spatio- Temporal Analysis of Turbidity in Ganga River in Patna, Bihar Using Sentinel-2 Satellite Data Linked with Covid-19 Pandemic\",\"authors\":\"G. Tripathi, Arvind Chandra Pandey, Bikash Ranjan Parida\",\"doi\":\"10.1109/InGARSS48198.2020.9358965\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"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.\",\"PeriodicalId\":6797,\"journal\":{\"name\":\"2020 IEEE India Geoscience and Remote Sensing Symposium (InGARSS)\",\"volume\":\"1 1\",\"pages\":\"29-32\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 IEEE India Geoscience and Remote Sensing Symposium (InGARSS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/InGARSS48198.2020.9358965\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE India Geoscience and Remote Sensing Symposium (InGARSS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/InGARSS48198.2020.9358965","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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.