Validation of aerosol type classification from satellite remote sensing

Jaehwa Lee, Jhoon Kim, Jungbin Mok, Yunjae Kim

Research output: Contribution to journalConference articlepeer-review

1 Citation (Scopus)


Inter-comparison of various satellite data is performed for the purpose of validation of aerosol type classification algorithm from satellite remote sensing, so called, MODIS-OMI algorithm (MOA hereafter). Infrared Optical Depth Index (IODI), correlation coefficient between carbon monoxide (CO) column density and black carbon (BC) aerosol optical thickness (AOT), and aerosol types from 4-channel algorithm and CALIOP measurements are used to validate dust, BC, and aerosol type from MOA, respectively. The agreement of dust pixels between IODI and MOA ranges 0.1 to 0.6 with respect to AOT constraint, and it is inferred that IODI is less sensitive to optically thin dust layer. Increase of the correlation coefficient between AOT and CO column density when BC pixels are taken into account supports the performance of MOA to detect BC aerosol. The agreement of aerosol types from MOA and 4CA showed reasonable consistency, and the difference can be described by different absorptivity test and retrieval accuracy of AE. Inter-comparison of aerosol types between MOA and CALIOP measurements represented reasonable consistency when AOT greater than 0.5, and height dependence of MOA is inferred from consistency analysis with respect to aerosol layer height from CALIOP measurements. Inter-comparisons among different satellite data showed feasible future for validating aerosol type classification algorithm from satellite remote sensing.

Original languageEnglish
Pages (from-to)396-399
Number of pages4
JournalAIP Conference Proceedings
Publication statusPublished - 2009
EventInternational Radiation Symposium, IRS 2008 - Foz do Iguacu, Brazil
Duration: 2008 Aug 32008 Aug 8

All Science Journal Classification (ASJC) codes

  • General Physics and Astronomy


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