DocumentCode :
1478017
Title :
Removal of Thin Cirrus Scattering Effects for Remote Sensing of Ocean Color From Space
Author :
Gao, Bo-Cai ; Li, Rong-Rong
Author_Institution :
Remote Sensing Div., Naval Res. Lab., Washington, DC, USA
Volume :
9
Issue :
5
fYear :
2012
Firstpage :
972
Lastpage :
976
Abstract :
Thin cirrus clouds frequently contaminate satellite images. These clouds are traditionally treated as aerosols in atmospheric correction processes for satellite remote sensing of ocean color. Through analysis of spectral imaging data covering a solar spectral region between approximately 0.4 and 0.9 μm and acquired with the Hyperspectral Imager for the Coastal Ocean (HICO) instrument currently on board the International Space Station, we have developed an empirical but very effective technique to remove thin cirrus effects from HICO data acquired over fairly clear ocean waters where the water leaving reflectances above 0.8 μm are close to zero. The development of the technique is based on this property and on the fact that cirrus reflectances in the 0.4-1.0-μm region are spectrally constant. The empirical technique is described, and sample results are presented. The same technique is applicable to thin cirrus corrections over clear water surfaces for other hyperspectral or multichannel imaging instruments covering similar spectral range.
Keywords :
aerosols; atmospheric optics; clouds; geophysical image processing; light scattering; oceanographic techniques; remote sensing; underwater optics; HICO instrument; Hyperspectral Imager for the Coastal Ocean; International Space Station; aerosols; atmospheric correction processes; hyperspectral imaging instruments; multichannel imaging instruments; satellite image contamination; solar spectral region; space based ocean color remote sensing; spectral imaging data; thin cirrus scattering effect removal; water leaving reflectance; Clouds; Green products; Hyperspectral imaging; Scattering; Sea measurements; Sea surface; Cirrus cloud correction; hyperspectral imager; ocean color; remote sensing;
fLanguage :
English
Journal_Title :
Geoscience and Remote Sensing Letters, IEEE
Publisher :
ieee
ISSN :
1545-598X
Type :
jour
DOI :
10.1109/LGRS.2012.2187876
Filename :
6174441
Link To Document :
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