Research on Time Series Interpolation and Reconstruction of Multi-Source Remote Sensing AOD Product Data Using Machine Learning Methods

Research on Time Series Interpolation and Reconstruction of Multi-Source Remote Sensing AOD Product Data Using Machine Learning Methods

The satellite remote sensing of Aerosol Optical Depth (AOD) products is crucial in environmental monitoring and atmospheric pollution research. However, data gaps in AOD products from satellites like Fengyun significantly hinder continuous, seamless environmental monitoring capabilities, posing chal...

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Bibliographic Details
Main Authors: Huifang Wang, Min Wang, Pan Jiang, Fanshu Ma, Yanhu Gao, Xinchen Gu, Qingzu Luan
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Atmosphere
Subjects:
FY-3D/4A
AODHi-8
AHI
Modis
HGALSS
machine learning algorithms
Online Access:https://www.mdpi.com/2073-4433/16/6/655
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