India Spatio-Temporal Air Quality Dataset (2023–2025): Monthly Integration of Sentinel-5P, ERA5-Land, and CPCB Monitoring Stations
Description
This dataset provides a harmonized spatio-temporal air quality dataset for India covering January 2023 to December 2025. It integrates monthly atmospheric pollutant observations from Copernicus Sentinel-5P, meteorological variables from ECMWF ERA5-Land, and metadata from 508 CPCB monitoring stations. The repository includes 36 monthly CSV datasets, CPCB station metadata, and a consolidated master dataset, supporting research in air quality monitoring, remote sensing, environmental science, and machine learning.
Files
Steps to reproduce
1. Upload the CPCB monitoring station data to Google Earth Engine. 2. Retrieve monthly atmospheric and meteorological data for the study period. 3. Generate monthly average values and extract observations at the monitoring station locations. 4. Export the monthly datasets in CSV format. 5. Combine all monthly datasets into a single master dataset using the provided Python script.