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e-Article

Estimation of Hourly PM2.5 Mass Concentration from Geostationary Satellite Aerosol Optical Depth Data
Document Type
Conference
Source
IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium Geoscience and Remote Sensing Symposium, IGARSS 2023 - 2023 IEEE International. :1065-1067 Jul, 2023
Subject
Aerospace
Components, Circuits, Devices and Systems
Fields, Waves and Electromagnetics
Geoscience
Signal Processing and Analysis
Estimation
Aerosols
Optical fiber networks
Adaptive optics
Data models
Optical sensors
Root mean square
Remote Sensing
Geostationary satellite
PM2.5
AOD
Language
ISSN
2153-7003
Abstract
Remote sensing inversion of global PM 2.5 is an important research topic. In the present study, the Aerosol Optical Depth (AOD) dataset was established by four geostationary satellites to estimate global PM 2.5 concentrations using improved Geographic Time-Weighted Regression model (IGTWR) models. Then a global hourly PM 2.5 concentration dataset was obtained in May 2020. The estimated result for PM 2.5 is verified at ground stations with R of 0.71 and RMSE (Root Mean Square Error) of 26.6 μg/m 3 . The results indicate that PM 2.5 has obvious spatial and temporal distribution in the world.