Analysis of Primary Air Pollutants’ Spatiotemporal Distributions Based on Satellite Imagery and Machine-Learning Techniques

Accurate monitoring of air pollution is crucial to human health and the global environment. In this research, the various multispectral satellite data, including MODIS AOD/SR, Landsat 8 OLI, and Sentinel-2, together with the two most commonly used machine-learning models, viz. multi-layer backpropag...

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Principais autores:	Yanyu Li, Meng Zhang, Guodong Ma, Haoyuan Ren, Ende Yu
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2024-02-01
coleção:	Atmosphere
Assuntos:	machine learning multispectral satellite data aerosol optical depth surface reflectance air pollutant spatiotemporal distribution
Acesso em linha:	https://www.mdpi.com/2073-4433/15/3/287
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