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

Garg, Vaibhav; Chauhan, P. M.

doi:10.1080/19475705.2020.1782482

Cited by 140 publications

(117 citation statements)

References 41 publications

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“…Similar results have been found in a coastal industrial zone in south India which has experienced a significant decrease of pollutants owing to the reduced wastewater discharges from industrial units during the imposed lockdown [57]. Other studies have also proved that the lockdown caused by COVID-19 spread has contributed to the reduction of pollution levels in coastal areas [58][59][60][61]. Hence, these findings in combination with our work present a clear picture of the impact of economic activities on the environment and provide a baseline reference for future studies assessing the possible reduction of pollution levels in the world's coastal waters.…”

Section: Resultssupporting

confidence: 75%

COVID-19 Pandemic Consequences on Coastal Water Quality Using WST Sentinel-3 Data: Case of Tangier, Morocco

Cherif

Vodopivec

Mejjad

et al. 2020

Water

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The west coast of Tangier, in northern Morocco, has been affected by industrial wastewater discharge that reaches the ocean through the Boukhalef river. Therefore, the Jbila and Sidikacem beaches near to the Boukhalef river mouth have been classified as polluted for many years. With the aim of determining the COVID-19 pandemic consequences on the Tangier coastal environment, a linear model using Sentinel 3 water surface temperature (WST) has been tested in several locations. Data from April 2019 and April 2020, before and during the COVID-19 pandemic related emergency status in Morocco, were compared. The results from April 2019 showed high WST values and consequently, the poorest water quality in the sites closest to the Boukhalef river mouth. On the other hand, the results from April 2020 showed normal WST values and high water quality in the same study area. These results illustrate the usefulness of Sentinel 3 WST for the estimation of bathing water quality on the west coast of Tangier. The study shows the positive impact of the COVID-19 pandemic consequences on the coastal environment quality in the study area and indicates the importance of decreasing the industrial discharge on the west coast of Tangier. The same methodology could be used in decision-making processes and to reduce cost, time and human resources for coastal monitoring systems. We demonstrate the potential of using the Sentinel 3 data for coastal waters monitoring, as well as the need for stricter controls of pollutant discharges into the world’s rivers.

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Section: Resultssupporting

confidence: 75%

COVID-19 Pandemic Consequences on Coastal Water Quality Using WST Sentinel-3 Data: Case of Tangier, Morocco

Cherif

Vodopivec

Mejjad

et al. 2020

Water

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“…The surface temperature was reduced by 3–5 °C while the noise level dropped to <65dBA from above 85dBA [ 96 ]. Further, water quality of river Ganga was also improved during lockdown conditions [ 97 ]. Critically endangered, South Asian River Ganges Dolphins also were spotted back in the Ganga river after 30 years.…”

Section: Indian Scenario For Covid-19mentioning

confidence: 99%

How India is dealing with COVID-19 pandemic

Ghosh

Nundy

Mallick

2020

Sensors International

180

115

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India, which has the second-largest population in the world is suffering severely from COVID-19 disease. By May 18th, India investigated ∼1 lakh (0.1million) infected cases from COVID-19, and as of 11th July the cases equalled 8 lakhs. Social distancing and lockdown rules were employed in India, which however had an additional impact on the economy, human living, and environment. Where a negative impact was observed for the economy and human life, the environment got a positive one. How India dealt and can potentially deal with these three factors during and post COVID-19 situation has been discussed here.

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“…There have been many satellite-based studies for studying the impact of lockdown in India, especially on environmental implications like air quality (Singh and Chauhan 2020 ) and water quality (Garg et al 2020 ). Additionally, there have been a few publications on possible impacts COVID-19 on Indian agriculture (Dev 2020 ; Kumar et al 2020 ; Padhee and Pingali 2020 ).…”

Section: Introductionmentioning

confidence: 99%

Crop Situation in India, Before, During and After COVID-19 Lockdown, as Seen from the Satellite Data of Resourcesat-2 AWiFS

Saxena¹,

Rabha²,

Tahlani³

et al. 2020

J Indian Soc Remote Sens

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In this study, an attempt has been made to assess the crop situation in India, before the COVID-19 pandemic lockdown, during the lockdown and after the lockdown. In India, the lockdown was imposed from 24 March to 31 May 2020. That was the period of harvesting of Rabi (winter) season crop and sowing of Zaid (summer) season crop. However, the government announced a large number of measures to provide relaxation to agricultural activities during the lockdown. A satellite remote sensing-based assessment was carried out to see the impact of the lockdown and government measures. Normalized Difference Vegetation Index (NDVI) time composite all-India product derived from Resourcesat-2/2A Advanced Wide Field Sensor for February, May, and July 2020 was used to assess the crop situation, representing three crop seasons, i.e. Rabi, Zaid and Kharif (rainy). NDVI images of 2020 were compared with corresponding images of 2019. Change images were generated, and state-level NDVI values were computed. The state-level cropped area proportion was also mapped using the NDVI thresholding approach. The crop sown area statistics, crop cutting experiment (CCE) numbers and rainfall data were also compared for both the years. It was observed that the differences were very low between the NDVI of 2019 and 2020 in February month. However, the differences were high in many states during May and in most of the states during July. A statistical test of significance (paired t test) was carried out for state-level NDVI and crop area values, which validated this result. This NDVI change was mostly due to increased crop area during Zaid and Kharif (rainy) seasons and higher rainfall from May to July. The satellite and other data (crop area and CCE numbers) analysis also showed the sowing and harvesting operations in major parts of the country went on smoothly, during the lockdown period.

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

Cited by 140 publications

References 41 publications

COVID-19 Pandemic Consequences on Coastal Water Quality Using WST Sentinel-3 Data: Case of Tangier, Morocco

COVID-19 Pandemic Consequences on Coastal Water Quality Using WST Sentinel-3 Data: Case of Tangier, Morocco

How India is dealing with COVID-19 pandemic

Crop Situation in India, Before, During and After COVID-19 Lockdown, as Seen from the Satellite Data of Resourcesat-2 AWiFS

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