Surface albedo from the geostationary Communication, Ocean and Meteorological Satellite (COMS)/Meteorological Imager (MI) observation system

Chang Suk Lee, Kyung Soo Han, Jong Min Yeom, Kyeong sang Lee, Minji Seo, Jinkyu Hong, Je Woo Hong, Keunmin Lee, Jinho Shin, In Chul Shin, Junghwa Chun, Jean Louis Roujean

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)


The surface albedo is an essential climate variable that is considered in many applications used for predicting climate and understanding the mechanisms of climate change. In this study, surface albedo was estimated using a bidirectional reflectance distribution function model based on Communication, Ocean and Meteorological Satellite/Meteorological Imager data. Geostationary orbiting satellite data are suitable for a level 2 product like albedo, which requires a synthetic process to estimate. The authors modified established methods to consider the geometry of the solar-surface-sensor of COMS/MI. Of note, the viewing zenith angle term was removed from the kernel integration used for estimating spectral albedo. Finally, the spectral (narrow) albedo was converted into the broadband albedo with shortwave length (approximately 0.3–2.5 μm). This study determined conversion coefficients using only one spectral albedo of visible channel. The estimated albedo had a relatively high correlation with Satellite Pour l’Observation de la Terre/Vegetation and low unweighted error values specific for land types or times. The validation results show that estimated albedo has a root mean square error of 0.0134 at Jeju flux site that indicates accuracy similar to that of other satellite-based products.

Original languageEnglish
Pages (from-to)38-62
Number of pages25
JournalGIScience and Remote Sensing
Issue number1
Publication statusPublished - 2018 Jan 2

Bibliographical note

Publisher Copyright:
© 2017, © 2017 Informa UK Limited, trading as Taylor & Francis Group.

All Science Journal Classification (ASJC) codes

  • General Earth and Planetary Sciences


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