The longer human activities are changed due to the COVID-19 pandemic, the more visible, wider, and longer lasting the scope of environmental impacts may be. Your challenge is to tell a visual story about the impacts of the pandemic using Earth observation data and other complementary information.
The story revolves around the trend before and after COVID 19.The focus preliminarily lies on the gases present in the atmosphere such as Nitrogen dioxide, Carbon monoxide in Indian region which are the major pollutants in the atmosphere .The trend in agriculture was analyzed for the years 2019 and 2020 and comparison is made .
The amount of gas pollutants like Nitrogen dioxide and Carbon monoxide in the atmosphere where studied through the dataset provided in EO Dashboard and EESA Copernicus Sentinel-5P Mapping Portal . The study was done for places in India with the dataset provided . The duration of observation is 2018 to 2021 for air pollution . A certain trend was observed in the change of Nitrogen dioxide and Carbon monoxide throughout the years in our analysis . Comparisons where made between the pre COVID and COVID years , there was a drastic change between the amount of pollutants in the pre COVID and COVID times .
The vegetation found in all the places in India were studied from the NASA EOSDIS Earth Data .The duration of observation for agriculture is 2019 to 2020 . A certain trend in the density of vegetation was found between the months of the same year which is due to the seasonal changes throughout the year . When comparing the years of 2019 and 2020 there are slight changes aiding to cyclones , monsoon from cyclones , changes in seasonal patterns due to global warming and the lesser pollution levels in COVID lockdown also.
IN 2019
IN 2020
It is important in analyzing the trend because the trend in increase in levels of Carbon Monoxide and Nitrogen dioxide can help us find the seasonal changes . For example a rapid increase in these acidic oxides in the atmosphere could bring acid rains . These acid rains could inhibit vegetation in the corresponding areas . It is thus necessary to understand the trend in pollution so that we can reason out causes for the sudden changes and we can take measures control pollution to a maximum extent on important phases of agricultural cycles.
The current trend which we propose could be integrated with present virtual dashboards so that everyone viewing from it could understand the exact trend . By comparing the trend of pollution and agriculture we can deduce solutions where strictly controlling the pollution on certain months could promote agriculture by significant number of times . Like this we can promote our lives by understanding these trends and bringing solutions based on them .
We chose this challenge because air is one of the important necessities of a life form. The increasing pollution has caused some adverse effects in our environment. So we chose to analyze the root cause of it and find possible solutions to minimize this .
The story was developed by analyzing the data sets provided and referring certain websites. The website references are mentioned below. When analyzing we followed major steps such as descriptive analysis, diagnosis analysis. In descriptive analysis, the trend or pattern is found .The trend of Nitrogen di oxide was found and it was found due to monsoon there is a drop. The trend in north eastern part of India remained constant due to the presence of Steel and Thermal plants population in the area, similar pattern was found near Chennai where Neyvelli Thermal power station is located. So it was determined that the constant graph in Nitrogen di oxide in these areas were due to the pollution caused by these power plants.
The trends in agriculture showed a clear pattern which was affected by perennial rivers, delta region, covid-19 and monsoon. Incase of northern part due to the perennial rivers, through out the year agriculture is carried out because of the presence of proper resources.
In 2020,due to covid-19, agriculture was affected and the crops were not harvested which resulted in the crop presence in non seasonal period. other years the crop cultivation started in the month of June to July and remained till the month of January but due to covid-19 the cycle was disrupted.
Our project mainly focuses on the atmosphere pollutant and agricultural changes before and after COVID in india. We analyzed the changes in Nitrogen dioxide and carbon monoxide for that we have used data from ESA copernicus sentinel-5P tropospheric nitrogen dioxide , ESA Copernicus sentinel-5P carbon monoxide and EO Dashboard. We used Aqua Moderate Resolution Imaging Spectroradiometer (MODIS) Vegetation Indices (MYD13A3) Version 6 data from worldview.earthdata.nasa.gov for analyzing the trends and seasonality in agriculture.
On analysing the data from the above data sets a trend was figured out in the amounts of Nitrogen dioxide and Carbon Monoxide between the months in a year and also between successive years . A pattern was figured out in the density of vegetation also in the years of 2019 and 2020. There was a pattern within the year between months too due to seasonal changes .
We had figured out a trend in the change in Nitrogen dioxide and Carbon monoxide levels in India between the years 2018 to 2021 . We also figured out a trend in the density of vegetation in the years 2019 and 2020. We saw patterns between different years and also between months in same year and changes in the COVID times from the pre COVID times . This description of the pattern observed could be integrated in the maps present in EO Dashboard so that people referring to the dashboard can understand the trend with ease.
Data used for analyzing Nitrogen dioxide and Carbon monoxide
Data used for analyzing agricultural change
#airquality,#Science,#airpollution,#Nitrogen,#Cleanair,#Storytelling,#agriculture,#monsoon,#vegetation,#globalwarming,#green,#data
This project has been submitted for consideration during the Judging process.