Estimation of Directional Surface Reflectance and Atmospheric Aerosols over East Asia Using a Multi-Channel Geostationary Satellite

Kwon Ho Lee, Jung Moon Yoo, Man Sing Wong

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review


Earth-observing data from the recent geostationary orbit satellites can be useful to retrieve the surface reflectance as well as aerosol properties including aerosol optical thickness (AOT). Implementing the algorithm to determine the geometry dependent surface reflectance based on the atmospheric correction with pre-defined atmospheric transmission function is an effective way to determine AOT. This study presents framework to integrate surface reflectance and aerosol retrieval processes by combining with the atmospheric correction, minimum reflection composite, and look-up table (LUT) application for the Advanced Himawari Imager (AHI) onboard Himawari-8 data. We discuss the algorithm's performance by applying test period datasets including a clear sky as well as anomalously high AOT values during the air pollution events. We also described results from a comparison with the Aerosol Robotic Network (AERONET) and the Moderate Resolution Imaging Spectroradiometer (MODIS) operational products. Continuous observation data were used to derive surface reflectance at a given time and this geometry dependent surface reflectance were successfully applied to aerosol retrieval process. There were good agreements between retrieved AOT with sunphotometer-derived and MODIS AOTs, with a linear correlation coefficient (r) of 0.78∼0.83 and mean bias of 0.07. These results suggest that the proposed method applied to the AHI data can accurately estimate continuous surface and aerosol properties. Moreover, aerosol retrieval results from the geostationary satellite are promising for monitoring air quality with its enhanced spatial and temporal resolution.

Original languageEnglish
Title of host publication2020 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2020 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages4
ISBN (Electronic)9781728163741
Publication statusPublished - 26 Sep 2020
Event2020 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2020 - Virtual, Waikoloa, United States
Duration: 26 Sep 20202 Oct 2020

Publication series

NameInternational Geoscience and Remote Sensing Symposium (IGARSS)


Conference2020 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2020
Country/TerritoryUnited States
CityVirtual, Waikoloa


  • Aerosol
  • AHI
  • radiative transfer
  • satellite

ASJC Scopus subject areas

  • Computer Science Applications
  • Earth and Planetary Sciences(all)

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