Comparison of Aerosol Reflectance Correction Schemes Using Two Near-Infrared Wavelengths for Ocean Color Data Processing SCIE SCOPUS

Cited 1 time in WEB OF SCIENCE Cited 1 time in Scopus
Title
Comparison of Aerosol Reflectance Correction Schemes Using Two Near-Infrared Wavelengths for Ocean Color Data Processing
Author(s)
Ahn, Jae-Hyun; Park, Young-Je; Fukushima, Hajime
KIOST Author(s)
Ahn, Jae Hyun(안재현)Park, Young Je(박영제)
Publication Year
2018-11
Abstract
This paper reanalyzes the aerosol reflectance correction schemes employed by major ocean color missions. The utilization of two near-infrared (NIR) bands to estimate aerosol reflectance in visible wavelengths has been widely adopted, for example by SeaWiFS/MODIS/VIIRS (GW1994), OCTS/GLI/SGLI (F1998), MERIS/OLCI (AM1999), and GOCI/GOCI-II (A2016). The F1998, AM1999, and A2016 schemes were developed based on GW1994; however, they are implemented differently in terms of aerosol model selection and weighting factor computation. The F1998 scheme determines the contribution of the most appropriate aerosol models in the aerosol optical thickness domain, whereas the GW1994 scheme focuses on single-scattering reflectance. The AM1999 and A2016 schemes both directly resolve the multiple scattering domain contribution. However, A2016 also considers the spectrally dependent weighting factor, whereas AM1999 calculates the spectrally invariant weighting factor. Additionally, ocean color measurements on a geostationary platform, such as GOCI, require more accurate aerosol correction schemes because the measurements are made over a large range of solar zenith angles which causes diurnal instabilities in the atmospheric correction. Herein, the four correction schemes were tested with simulated top-of-atmosphere radiances generated by radiative transfer simulations for three aerosol models. For comparison, look-up tables and test data were generated using the same radiative transfer simulation code. All schemes showed acceptable accuracy, with less than 10% median error in water reflectance retrieval at 443 nm. Notably, the accuracy of the A2016 scheme was similar among different aerosol models, whereas the other schemes tended to provide better accuracy with coarse aerosol models than the fine aerosol models.
ISSN
2072-4292
URI
https://sciwatch.kiost.ac.kr/handle/2020.kiost/813
DOI
10.3390/rs10111791
Bibliographic Citation
REMOTE SENSING, v.10, no.11, 2018
Publisher
MDPI
Subject
SURFACE-ROUGHNESS CONSIDERATIONS; RADIATIVE-TRANSFER CODE; ATMOSPHERIC CORRECTION; MULTIPLE-SCATTERING; OPTICAL-THICKNESS; VECTOR VERSION; SATELLITE DATA; SEAWIFS; RADIANCE; CALIBRATION
Keywords
atmospheric correction; ocean color; remote sensing; radiative transfer
Type
Article
Language
English
Document Type
Article
Publisher
MDPI
Related Researcher
Research Interests

Ocean Color Remote Sensing,Satellite Applications,Ocean color Algorithm,해양원격탐사,위성활용,해색 알고리즘

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