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Cloud Motion in the GOCI COMS Ocean Colour DataThe Geostationary Ocean Colour Imager (GOCI) instrument, on Koreas Communications, Oceans, and Meteorological Satellite (COMS), can produce a spectral artefact arising from the motion of clouds the cloud is spatially shifted and the amount of shift varies by spectral band. The length of time it takes to acquire all eight GOCI bands for a given slot (portion of a scene) is sucient to require that cloud motion be taken into account to fully mask or correct the eects of clouds in all bands. Inter-band correlations can be used to measure the amount of cloud shift, which can then be used to adjust the cloud mask so that the union of all shifted masks can act as a mask for all bands. This approach reduces the amount of masking required versus a simple expansion of the mask in all directions away from clouds. Cloud motion can also aect regions with unidentied clouds thin or fractional clouds that evade the cloud identication process yielding degraded quality in retrieved ocean colour parameters. Areas with moving and unidentied clouds require more elaborate masking algo-rithms to remove these degraded retrievals. Correction for the eects of moving fractional clouds may also be possible. The cloud shift information can be used to determine cloud motion and thus wind at the cloud levels on sub-minute timescales. The benecial and negative eects of moving clouds should be con-sidered for any ocean colour instrument design and associated data processing plans.
Document ID
20170005497
Document Type
Reprint (Version printed in journal)
Authors
Robinson, Wayne D. (Science Applications, Inc. Greenbelt, MD, United States)
Franz, Bryan A. (NASA Goddard Space Flight Center Greenbelt, MD United States)
Mannino, Antonio (NASA Goddard Space Flight Center Greenbelt, MD United States)
Ahn, Jae-Hyun (Korean Inst. of Ocean Science and Technology (KIOST) Ansan, South Korea, Republic of)
Date Acquired
June 12, 2017
Publication Date
September 21, 2016
Publication Information
Publication: International Journal of Remote Sensing
Volume: 37
Issue: 20
ISSN: 0143-1161
Subject Category
Earth Resources and Remote Sensing
Meteorology and Climatology
Report/Patent Number
GSFC-E-DAA-TN41630
Funding Number(s)
CONTRACT_GRANT: NNG14HZ03C
Distribution Limits
Public
Copyright
Other