Algorithm for retrieval of aerosol optical properties over the ocean from the Geostationary Ocean Color Imager SCIE SCOPUS

Cited 72 time in WEB OF SCIENCE Cited 69 time in Scopus
Title
Algorithm for retrieval of aerosol optical properties over the ocean from the Geostationary Ocean Color Imager
Author(s)
Lee, Jaehwa; Kim, Jhoon; Song, Chul H.; Ryu, Joo-Hyung; Ahn, Yu-Hwan; Song, C. K.
KIOST Author(s)
Ryu, Joo Hyung(유주형)
Publication Year
2010-05-17
Abstract
An aerosol retrieval algorithm for the first Geostationary Ocean Color Imager (GOCI) to be launched in March 2010 onboard the Communication, Ocean, and Meteorological Satellite (COMS) is presented. The algorithm retrieves aerosol optical depth (AOD), fine-mode fraction (FMIF), and aerosol type in 500 m x 500 m resolution. All the products are retrieved over clear water which is defined by surface reflectance ratio between 640 nm and 860 nm (SRR) less or equal to 2.5, while only AOD is retrieved over turbid water (SRR>2.5) due to high surface reflectance. To develop optimized algorithm for the target area of GOCI, optical properties of aerosol are analyzed from extensive observation of AERONET sunphotometers to generate lookup table. Surface reflectance of turbid water is determined from 30-day composite of Rayleigh- and gas corrected reflectance. By applying the present algorithm to MODIS top-of-the atmosphere reflectance, three different aerosol cases dominated by anthropogenic aerosol contains black carbon (BC), dust, and non-absorbing aerosol are analyzed to test the algorithm. The algorithm retrieves AOD, and size information together with aerosol type which are consistent with results inferred by RGB image in a qualitative way. The comparison of the retrieved AOD with those of MODIS collection 5 and AERONET sunphotometer observations shows reliable results. Especially, the application of turbid water algorithm significantly increases the accuracy in retrieving AOD at Anmyon station. The sensitivity study between MODIS and GOCI instruments in terms of relative sensitivity and scattering angle shows promising applicability of the present algorithm to future GOCI measurements. (C) 2010 Elsevier Inc. All rights reserved.
ISSN
0034-4257
URI
https://sciwatch.kiost.ac.kr/handle/2020.kiost/4096
DOI
10.1016/j.rse.2009.12.021
Bibliographic Citation
REMOTE SENSING OF ENVIRONMENT, v.114, no.5, pp.1077 - 1088, 2010
Publisher
ELSEVIER SCIENCE INC
Subject
VALIDATION; MTSAT-1R; CHANNELS; AVHRR
Keywords
Remote sensing; Algorithm; Aerosol optical depth; Fine-mode fraction; Aerosol type; Geostationary
Type
Article
Language
English
Document Type
Article
Publisher
ELSEVIER SCIENCE INC
Related Researcher
Research Interests

Coastal Remote Sensing,RS based Marine Surveillance System,GOCI Series Operation,연안 원격탐사,원격탐사기반 해양감시,천리안해양관측위성 운영

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