Validation of aerosol type classification from satellite remote sensing

Jhoon Kim, Jaehwa Lee, Jungbin Mok, Yunjae Kim

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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
Title of host publicationRemote Sensing of the Atmosphere and Clouds II
DOIs
Publication statusPublished - 2008 Dec 1
EventRemote Sensing of the Atmosphere and Clouds II - Noumea, New Caledonia
Duration: 2008 Nov 182008 Nov 18

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume7152
ISSN (Print)0277-786X

Other

OtherRemote Sensing of the Atmosphere and Clouds II
CountryNew Caledonia
CityNoumea
Period08/11/1808/11/18

Fingerprint

Satellite Remote Sensing
Aerosol
Aerosols
remote sensing
Remote sensing
aerosols
Satellites
optical thickness
Soot
Carbon black
Carbon
Dust
Carbon Monoxide
Infrared
dust
carbon
Classification Algorithm
Infrared radiation
Carbon monoxide
correlation coefficients

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

Cite this

Kim, J., Lee, J., Mok, J., & Kim, Y. (2008). Validation of aerosol type classification from satellite remote sensing. In Remote Sensing of the Atmosphere and Clouds II [71520Q] (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 7152). https://doi.org/10.1117/12.806401
Kim, Jhoon ; Lee, Jaehwa ; Mok, Jungbin ; Kim, Yunjae. / Validation of aerosol type classification from satellite remote sensing. Remote Sensing of the Atmosphere and Clouds II. 2008. (Proceedings of SPIE - The International Society for Optical Engineering).
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Kim, J, Lee, J, Mok, J & Kim, Y 2008, Validation of aerosol type classification from satellite remote sensing. in Remote Sensing of the Atmosphere and Clouds II., 71520Q, Proceedings of SPIE - The International Society for Optical Engineering, vol. 7152, Remote Sensing of the Atmosphere and Clouds II, Noumea, New Caledonia, 08/11/18. https://doi.org/10.1117/12.806401

Validation of aerosol type classification from satellite remote sensing. / Kim, Jhoon; Lee, Jaehwa; Mok, Jungbin; Kim, Yunjae.

Remote Sensing of the Atmosphere and Clouds II. 2008. 71520Q (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 7152).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Kim J, Lee J, Mok J, Kim Y. Validation of aerosol type classification from satellite remote sensing. In Remote Sensing of the Atmosphere and Clouds II. 2008. 71520Q. (Proceedings of SPIE - The International Society for Optical Engineering). https://doi.org/10.1117/12.806401