On the detection and monitoring of the transport of an asian dust storm using multi-sensor satellite remote sensing

H. El-Askary, S. K. Park, M. H. Ahn, A. Prasad, M. Kafatos

Research output: Contribution to journalArticlepeer-review

18 Scopus citations


Dynamical and physical features of a long range transported dust event originating in China affecting Korea early March 2008 are examined using an integrative multi-sensor and multi-algorithm approach. Aerosol loadings and their size mode were analyzed over both ocean and land surfaces using the Moderate Resolution Imaging Spectroradiometer (MODIS) aerosol optical depth (AOD), employing standard dark target (DT) and deep blue (DB) algorithms, and the Ångström exponent (AE). Anthropogenic absorbing aerosols and smoke were found to be significant over the Indochina Peninsula, the Philippines and southern China, while a mixture of dust and pollution were predominant over central to northern China, as identified by the AE analysis and the Multi-angle Imaging SpectroRadiometer (MISR) spherecitiy and plume height. Remarkable aerosol absorptions in both the near ultraviolet (UV) and the visible were spread over central, central western and northern China, probably due to aerosol mixtures including desert dust and industrial pollution as well as smoke from biomass burning as evidenced from the Ozone Monitoring Instrument (OMI). Long range transport is validated as dust storm reached up to 4–5 km vertically and a mixed cloud layer was identified over the Yellow Sea as disclosed by the vertical structure of dust aerosols as well as observed aerosols subtypes from Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO). The real time detection and monitoring of the dust outbreak and its subsequent evolution are available through the infrared optical depth index (IODI), developed from the MTSAT-1R geostationary satellite imager.

Original languageEnglish
Pages (from-to)99-116
Number of pages18
JournalJournal of Environmental Informatics
Issue number2
StatePublished - 7 Jul 2015

Bibliographical note

Publisher Copyright:
© 2015 ISEIS All rights reserved


  • Aerosol optical depth
  • Anthropogenic aerosols
  • Asian dust storm
  • Multi-Sensor satellite remote sensing
  • Ångström exponent


Dive into the research topics of 'On the detection and monitoring of the transport of an asian dust storm using multi-sensor satellite remote sensing'. Together they form a unique fingerprint.

Cite this