Photo by thinkmagically from unsplash
Abstract The classification of aerosol types using remote sensing tools is crucial for improving our knowledge on the impacts of aerosol species on global and regional climate. Ground-based classification methods… Click to show full abstract
Abstract The classification of aerosol types using remote sensing tools is crucial for improving our knowledge on the impacts of aerosol species on global and regional climate. Ground-based classification methods have proven useful though they are limited by discontinuous spatial observations of aerosol optical properties. As such, there is a need to develop methods in aerosol species identification using satellite data. In this study, a 2D-space model suitable for MODIS AOD bands is developed to distinguish aerosol particle species based on aerosol optical depth (AOD) and aerosol relative optical depth (AROD). The model can be used to classify five aerosol types, including biomass burning (BB: AOD470 ≥ 0.45, AROD660/470 AROD660/470 ≥ 0.58), sub-continental (SB: AOD470 ≥ 0.45, 0.91 > AROD660/470 ≥ 0.68), desert dust (DD: AROD660/470 ≥ 0.91) and continental (CO: AOD470
Journal Title: Atmospheric Environment
Year Published: 2019
Link to full text (if available)
Share on Social Media: Sign Up to like & get
recommendations!