The developed tool can visualize the NO2 data daily and plot the time series on the given location within the Indian Boundary. Currently, a single month of data has been taken for the development, and the associated statistics like minimum, maximum, mean, and standard deviation can be known by clicking any point. This tool is important as the users can get the statistics and time series in a single click without any downloading of heavy data and any processing. It becomes important for researchers as it saves time as well as the trends can be known instantly. Overall, the effective output product of any satellite data can be achieved by incorporating this tool with satellite data.

• The climate field is extensive, and long-term data are required for analysis. Each of us faces this problem, to have long-term data, it becomes a difficult and time-consuming task to download the datasets, process, and extract the associated values (statistics). The initial idea for the tool was to save precious time and to skip the intermediate steps.
• The language used for development - R, and for python is used for processing the data.
• Hardware- <><><><><><><LAPTOP??
• Softwares - R-studio, Spyder, Shiny
• Problems faced- to make a database that can be associated and liked with GUI prepared.
• Achievements-

1. Working in a team and solving the problems together.
2. exposure to EO-dashboard and working with different libraries for processing and development.

for the present work, data from ESA - Copernicus' Sentinal 5P - Tropomi data is used.

The NetCDF files were processed using python and the database was prepared.

https://drive.google.com/file/d/18ACebn_5dSpt0PYSAFFNFlQNFkqFzMBT/view?usp=sharing

The solution is to integrate NO2 values into the dashboard using csv file.

TROPOMI NO2 Data- https://s5phub.copernicus.eu/dhus/#/home

#air_quality #tropomi #NO2

This project has been submitted for consideration during the Judging process.