Spatiotemporal aerosol prediction model based on fusion of machine learning and spatial analysis

Spatiotemporal aerosol prediction model based on fusion of machine learning and spatial analysis

Abstract This study examined long-term aerosol optical thickness (AOT) data from the Moderate Resolution Imaging Spectroradiometer (MODIS) to quantify aerosol conditions on the Korean Peninsula. Time-series machine learning (ML) techniques and spatial interpolation methods were used to predict futur...

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Bibliographic Details
Main Authors: Kwon-Ho Lee, Seong-Hun Pyo, Man Sing Wong
Format: Article
Language:English
Published: Springer 2024-03-01
Series:Asian Journal of Atmospheric Environment
Subjects:
Satellite
Aerosol
Machine learning
Spatial analysis
Remote sensing
Online Access:https://doi.org/10.1007/s44273-024-00031-2

Internet

https://doi.org/10.1007/s44273-024-00031-2

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