Abstract
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 language | English |
|---|---|
| Pages (from-to) | 38-62 |
| Number of pages | 25 |
| Journal | GIScience and Remote Sensing |
| Volume | 55 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 2018 Jan 2 |
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All Science Journal Classification (ASJC) codes
- Earth and Planetary Sciences(all)
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Surface albedo from the geostationary Communication, Ocean and Meteorological Satellite (COMS)/Meteorological Imager (MI) observation system. / Lee, Chang Suk; Han, Kyung Soo; Yeom, Jong Min; Lee, Kyeong sang; Seo, Minji; Hong, Jinkyu; Hong, Je Woo; Lee, Keunmin; Shin, Jinho; Shin, In Chul; Chun, Junghwa; Roujean, Jean Louis.
In: GIScience and Remote Sensing, Vol. 55, No. 1, 02.01.2018, p. 38-62.Research output: Contribution to journal › Article
TY - JOUR
T1 - Surface albedo from the geostationary Communication, Ocean and Meteorological Satellite (COMS)/Meteorological Imager (MI) observation system
AU - Lee, Chang Suk
AU - Han, Kyung Soo
AU - Yeom, Jong Min
AU - Lee, Kyeong sang
AU - Seo, Minji
AU - Hong, Jinkyu
AU - Hong, Je Woo
AU - Lee, Keunmin
AU - Shin, Jinho
AU - Shin, In Chul
AU - Chun, Junghwa
AU - Roujean, Jean Louis
PY - 2018/1/2
Y1 - 2018/1/2
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85026901408&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85026901408&partnerID=8YFLogxK
U2 - 10.1080/15481603.2017.1360578
DO - 10.1080/15481603.2017.1360578
M3 - Article
AN - SCOPUS:85026901408
VL - 55
SP - 38
EP - 62
JO - GIScience and Remote Sensing
JF - GIScience and Remote Sensing
SN - 1548-1603
IS - 1
ER -