This repository contains a detailed analysis of NO₂ (Nitrogen Dioxide) pollution across India over the period of 2020 to 2024. The analysis focuses on understanding the temporal and spatial trends of NO₂ levels using Sentinel-5P satellite data.
This study analyzes NO₂ pollution data from Sentinel-5P to investigate seasonal patterns, yearly variations, and spatial distribution of NO₂ concentrations across India. The analysis spans five years, from 2020 to 2024, with a focus on understanding the seasonal peaks during the summer and winter months, particularly in June and December.
The data for this analysis is obtained from Sentinel-5P, a satellite that provides atmospheric measurements, including NO₂ mole fraction. The data covers various atmospheric parameters, with a particular focus on trace gases like NO₂. The SentinelHub service is used to request and download this data for further analysis.
The analysis is conducted in the following steps:
- Data Extraction: NO₂ data for India is obtained using the Sentinel-5P satellite and processed using the SentinelHub API.
- Temporal Analysis: The NO₂ concentrations are analyzed for seasonal and yearly trends, comparing values across months and years (2020–2024).
- Spatial Analysis: A spatial analysis is conducted using geographical boundaries for India, and the data is rasterized to create a spatial representation of NO₂ pollution.
- Statistical Analysis: The data is aggregated by year, and statistical methods are applied to identify patterns and trends in NO₂ concentrations.
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Jupyter Notebook: The analysis is performed in a Jupyter Notebook (
no2_analysis.ipynb). You can open and run the notebook to explore the step-by-step analysis. -
Running the Analysis: To run the analysis, simply open the notebook and execute the cells in order. Make sure you have access to Sentinel-5P data via the SentinelHub service.
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Data Preparation: Before starting, ensure you have the necessary data from SentinelHub for the years 2020-2024. The analysis scripts include steps for downloading and processing the data from Sentinel-5P.
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Results: The notebook generates various visualizations of NO₂ levels, including time-series plots, seasonal variations, spatial maps, and yearly comparisons.
- Temporal Trends: NO₂ concentrations show distinct seasonal variations, with peaks in June (summer) and December (winter). The highest concentrations are typically observed in December.
- Spatial Distribution: Spatial mapping of NO₂ pollution helps identify regions with the highest pollution levels, which may correlate with urbanization, traffic density, and industrial activity.
- Yearly Comparison: A yearly comparison of NO₂ levels across 2020-2024 highlights trends and anomalies, such as the potential impact of the COVID-19 lockdown on air quality in 2020.
The study provides valuable insights into the NO₂ pollution trends across India from 2020 to 2024. The findings highlight significant seasonal spikes, particularly in June and December, and suggest potential correlations with weather, industrial activities, and vehicular emissions. The results emphasize the need for targeted air quality management and policy interventions to reduce NO₂ levels, especially during high-risk periods.
This project is licensed under the MIT License - see the LICENSE file for details.