Improving AOD Algorithm Evaluation: A Spatial Matching Method for Minimizing Quality Control Bias

Improving AOD Algorithm Evaluation: A Spatial Matching Method for Minimizing Quality Control Bias

Satellite-derived aerosol optical depth (AOD) products from MODIS and VIIRS sensors are vital for monitoring global aerosol distributions. However, inconsistencies in quality control algorithms and spatial resolution introduce errors that complicate validation processes and reduce the accuracy of sa...

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Bibliographic Details
Main Authors:	Bailin Du, Bo Zhong, He Cai, Shanlong Wu, Yang Qiao, Xiaoya Wang, Aixia Yang, Junjun Wu, Qinhuo Liu, Jinxiong Jiang, Haizhen Zhang
Format:	Article
Language:	English
Published:	MDPI AG 2025-03-01
Series:	Remote Sensing
Subjects:	aerosol optical depth product validation spatial matching method quality control
Online Access:	https://www.mdpi.com/2072-4292/17/7/1235
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