Browse > Article
http://dx.doi.org/10.7780/kjrs.2021.37.1.14

Evaluation of GSICS Correction for COMS/MI Visible Channel Using S-NPP/VIIRS  

Jin, Donghyun (Department of Spatial Information Engineering, Pukyong National University)
Lee, Soobong (Satellite Analysis Division, National Meteorological Satellite Center, Korea Meteorological Administration)
Lee, Seonyoung (Satellite Analysis Division, National Meteorological Satellite Center, Korea Meteorological Administration)
Jung, Daeseong (Department of Spatial Information Engineering, Pukyong National University)
Sim, Suyoung (Department of Spatial Information Engineering, Pukyong National University)
Huh, Morang (Research Center, Nano C&W Ltd. co.)
Han, Kyung-soo (Department of Spatial Information Engineering, Pukyong National University)
Publication Information
Korean Journal of Remote Sensing / v.37, no.1, 2021 , pp. 169-176 More about this Journal
Abstract
The Global Space-based Inter-Calibration System (GSICS) is an international partnership sponsored by World Meteorological Organization (WMO) to continue and improve climate monitoring and to ensure consistent accuracy between observation data from meteorological satellites operating around the world. The objective for GSICS is to inter-calibration from pairs of satellites observations, which includes direct comparison of collocated Geostationary Earth Orbit (GEO)-Low Earth Orbit (LEO) observations. One of the GSICS inter-calibration methods, the Ray-matching technique, is a surrogate approach that uses matched, co-angled and co-located pixels to transfer the calibration from a well calibrated satellite sensor to another sensor. In Korea, the first GEO satellite, Communication Ocean and Meteorological Satellite (COMS), is used to participate in the GSICS program. The National Meteorological Satellite Center (NMSC), which operated COMS/MI, calculated the Radiative Transfer Model (RTM)-based GSICS coefficient coefficients. The L1P reproduced through GSICS correction coefficient showed lower RMSE and Bias than L1B without GSICS correction coefficient applied. The calculation cycles of the GSICS correction coefficients for COMS/MI visible channel are provided annual and diurnal (2, 5, 10, 14-day), but long-term evaluation according to these cycles was not performed. The purpose of this paper is to perform evaluation depending on the annual/diurnal cycles of COMS/MI GSICS correction coefficients based on the ray-matching technique using Suomi-NPP/Visible Infrared Imaging Radiometer Suite (VIIRS) data as reference data. As a result of evaluation, the diurnal cycle had a higher coincidence rate with the reference data than the annual cycle, and the 14-day diurnal cycle was the most suitable for use as the GSICS correction coefficient.
Keywords
GSICS correction; Inter-calibration; Ray-matching technique; COMS/MI; S-NPP/VIIRS; SBAF;
Citations & Related Records
연도 인용수 순위
  • Reference
1 Cao, C., F. De Luccia, X. Xiong, R. Wolfe, and F. Weng, 2014. Early on-orbit performance of the Visible Infrared Imaging Radiometer Suite (VIIRS) onboard the Suomi National Polar-orbiting Partnership (S-NPP) satellite, IEEE Transactions on Geoscience and Remote Sensing, 52(2): 1142-1156.   DOI
2 Doelling, D.R., R. Bhatt, D. Morstad, and B. Scarino, 2011. Algorithm Theoretical Basis Document (ATBD) for ray-matching technique of calibrating GEO sensors with Aqua-MODIS for GSICS, NASA-Langley SSAI, 2011: 1-10.
3 Doelling, D., 2018. GSICS recommends SNPP-VIIRS as the VIS/NIR calibration reference, GSICS Quarterly Newsletter-Summer Vol. 12 Number 2, GSICS Coordination Center, University Research Court College Park, MD, USA, pp. 1-2.
4 Xiong, X., J. Sun, J. Espositio, B. Guenther, and W. Barnes, 2002. MODIS reflective solar bands calibration algorithm and on-orbit performance, Proc. of 2002 Earth Observing Missions and Sensors: Development, Implementation, and Characterization IV, Hangzhou, CHN, Oct. 23-27, Vol. 9881, p. 98811D.
5 Xiong, X., A. Angal, J. Butler, C. Cao, D. Doelling, A. Wu, and X. Wu, 2016. Global space-based inter-calibration system reflective solar calibration reference: From Aqua MODIS to S-NPP VIIRS, Proc. of 2016 Earth Observing Missions and Sensors: Development, Implementation, and Characterization IV, New Delhi, IND, Apr. 4-7, Vol. 9881, p. 98811D.
6 Lee, C.S., K.S. Han, J.M. Yeom, K.S. Lee, M. Seo, J. Hong, J.W. Hong, K. Lee, J. Shin, I.C. Shin, J. Chun, and J.L. Roujean, 2018. Surface albedo from the geostationary Communication, Ocean and Meteorological Satellite (COMS)/Meteorological Imager (MI) observation system, GIScience & Remote Sensing, 55(1): 38-62.   DOI
7 Goldberg, M., G. Ohring, J. Butler, C. Cao, R. Datla, D. Doelling, V. Gaertner, T. Hewison, B. Iacovazzi, D. Kim, T. Kunino, J. Lafeuille, P. Minnis, D. Renaut, J. Schmetz, D. Tobin, L. Wang, F. Weng, X. Wu, F. Yu, P. Zhang, and T. Zhu, 2011. The global space-based inter-calibration system, Bulletin of the American Meteorological Society, 92(4): 467-475.   DOI
8 Han, K.S., J.M. Yeom, C.S. Lee, I.C. Shin, and D. Kim, 2015. Improved estimation of insolation by using calibrated COMS MI images over South Korea, Remote Sensing Letters, 6(3): 175-182.   DOI
9 Hewison, T.J., X. Wu, F. Yu, Y. Tahara, X. Hu, D. Kim, and M. Koenig, 2013. GSICS inter-calibration of infrared channels of geostationary imagers using Metop/IASI, IEEE Transactions on Geoscience and Remote Sensing, 51(3): 1160-1170.   DOI
10 Park, E.B., K.S. Han, J.M. Yeom, C.S. Lee, J.H. Ryu, H. Kim, and D.H. Kim, 2015. Effects of GSICS correction on estimation of sea surface temperature using COMS data, International Journal of Remote Sensing, 36(4): 1026-1037.   DOI
11 Scarino, B.R., D.R. Doelling, P. Minnis, A. Gopalan, T. Chee, R. Bhatt, C. Lukashin, and C. Haney, 2016.Aweb-based toolfor calculating spectral band difference adjustment factors derived from SCIAMACHY hyperspectral data, IEEE Transactions on Geoscience and Remote Sensing, 54(5): 2529-2542.   DOI
12 Wu, X., T. Hewison, Y. Tahara, 2009. GSICS GEOLEO intercalibration: Baseline algorithm and early results, In Atmospheric and Environmental Remote Sensing Data Processing and Utilization V: Readiness for GEOSS III, 7456: 745604.