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The MIL‑QUALAIR dataset was constructed for predicting urban air pollution in the Milan metropolitan area. It includes Sentinel‑5P satellite observations, meteorological conditions, terrain features, and ground‑station measurements. The dataset spans 2018‑2023 and supports prediction of five major pollutants: PM10, PM2.5, NO2, O3, and SO2. It was compiled by the LINKS Foundation, funded by the UP2030 project, and released under the MIT license.
Dataset description and usage context
Dataset Overview
Name: MIL‑QUALAIR
Purpose: Urban air pollution prediction for the Milan metropolitan area, integrating Sentinel‑5P satellite observations, meteorological data, terrain features, and ground‑station measurements.
Temporal Range: 2018‑2023
Coverage Area: Milan metropolitan region
Primary Pollutants: PM10, PM2.5, NO2, O3, SO2
Dataset Details
Description
The dataset combines multiple sources, including Sentinel‑5 satellite observations, Digital Elevation Model (DEM) data, land‑cover information, weather records, and ground measurements, to facilitate prediction of the five main pollutants.
Sources
- Sentinel 5P: ESA Copernicus Sentinel‑5p mission
- DEM: Copernicus
- Weather: Visual Crossing Weather
- Land Cover: Copernicus Land Monitoring Service – Urban Atlas
- Ground Observations: Milan Open Data Portal
Structure
- Sentinel 5P:
sentinel5.csv– Daily Sentinel‑5P satellite band readings - DEM:
dem.tiff– 10 m resolution digital elevation model for the Milan area - Weather:
weather.csv– Daily weather variable measurements - Land Cover:
land_cover/land_cover.tiff– Land‑cover classification map;land_cover/land_cover_taxonomy.json– Class‑label mapping;land_cover/land_cover_mapping.json– Land‑cover class mapping - Ground Observations:
stations.csv– Daily station measurements for the five supported pollutants
Use Cases
Primarily used to develop air‑pollution prediction models. By integrating the various data sources, users can build a comprehensive feature set for more accurate forecasting of the five supported pollutants.
Dataset Creation
Source Data
- Sentinel 5P: ESA Copernicus Sentinel‑5p mission
- DEM: Copernicus
- Weather: Visual Crossing Weather
- Land Cover: Copernicus Land Monitoring Service – Urban Atlas
- Ground Observations: Milan Open Data Portal
Authors and Contact
- Authors: Giacomo Blanco, Luca Barco, Lorenzo Innocenti, Claudio Rossi
- Contact Emails: giacomo.blanco@linksfoundation.com, luca.barco@linksfoundation.com, lorenzo.innocenti@linksfoundation.com, claudio.rossi@linksfoundation.com
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