Enhancing interpretable PM2.5 exposure modeling using satellite remote sensing and LightGBM: Spatiotemporal validation and socioeconomic disparities

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Authors: Park Ki Mun
Cited by: 0

Abstract

This dataset contains daily PM2.5 concentrations, satellite data, land use parameters, and meteorological variables in South Korea from 2017 to 2023. The data were used to support the analyses presented in the associated GeoHealth manuscript.

Publication details

Journal / source
Figshare
Publication date
1 January 2026
Document type
Dataset