Satellite-Based Mapping of High-Resolution Ground-Level PM<sub>2.5</sub> with VIIRS IP AOD in China through Spatially Neural Network Weighted Regression

Satellite-Based Mapping of High-Resolution Ground-Level PM<sub>2.5</sub> with VIIRS IP AOD in China through Spatially Neural Network Weighted Regression

Satellite-retrieved aerosol optical depth (AOD) data are extensively integrated with ground-level measurements to achieve spatially continuous fine particulate matters (PM<sub>2.5</sub>). Current satellite-based methods however face challenges in obtaining highly accurate and reasonable...

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Bibliographic Details
Main Authors: Yijun Chen, Sensen Wu, Yuanyuan Wang, Feng Zhang, Renyi Liu, Zhenhong Du
Format: Article
Language:English
Published: MDPI AG 2021-05-01
Series:Remote Sensing
Subjects:
PM<sub>2.5</sub>
VIIRS IP AOD
high accuracy
high-resolution
China
geographically neural network weighted regression
Online Access:https://www.mdpi.com/2072-4292/13/10/1979

Internet

https://www.mdpi.com/2072-4292/13/10/1979

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