Atmospheric correction of HJ-1A/B CCD images over Chinese coastal waters using MODIS-Terra aerosol data

被引:4
作者
TIAN LiQiao 1
2Key Laboratory of Poyang Lake Wetland and Watershed Research
3 The Key Laboratory of Poyang Lake Environment and Resource Utilization
机构
基金
中国国家自然科学基金; 美国国家科学基金会;
关键词
ocean color remote sensing; atmospheric correction; turbid coastal waters; HJ-1A/B; MODIS;
D O I
暂无
中图分类号
X513 [粒状污染物];
学科分类号
0706 ; 070602 ;
摘要
This paper demonstrates an atmospheric correction method to process HJ-1A/B CCD images over Chinese coastal waters with the aid of MODIS-Terra aerosol information.Based on the assumption of zero water-leaving radiance at the two near-infrared (NIR)bands or the shortwave infrared(SWIR)bands,the atmospheric aerosol optical depth(AOD)is firstly retrieved from MODIS-Terra with a simple extension of the NIR-SWIR combined atmospheric correction approach embedded in SeaDAS (SeaWiFS data analysis system).Then the"turbid"and"non-turbid"waters are separated by the turbid water index.Maximum probability of AOD at 551 nm band is derived based on the NIR information over"non-turbid"waters and FLAASH model is selected to do the atmospheric correction of the HJ-1A/B CCD imagery using the AOD values of highest probabilities as input.Similarly,according to the histogram of the AOD distribution at 551 nm band,the studied turbid water area is divided into several blocks and HJ-1A/B CCD imagery is corrected with the corresponding AOD values displayed with the highest frequency in each block.This method has been applied to several HJ-1A/B images over Chinese coastal waters and validated by synchronous in-situ data.The results have shown that this method is effective in the atmospheric correction process of HJ-1A/B CCD images for ocean color remote sensing study and application in the coastal waters.
引用
收藏
页码:191 / 195
页数:5
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共 4 条
[1]  
太湖表层悬浮泥沙遥感定量模式研究[J]. 陈军,周冠华,温珍河,马金峰,张旭,彭丹青,杨松林.光谱学与光谱分析. 2010(01)
[2]  
Study on application potentiality of the first China's ocean satellite HY-1A[J]. Pan Delu1,He Xianqiang1,Li Shujing1,Gong Fang1 1.Laboratory of Ocean Dynamic Processes and Satellite Oceanography of State Oceanic Administration,Hangzhou 310012,China..Acta Oceanologica Sinica. 2003(04)
[3]  
A multi-sensor approach for the on-orbit validation of ocean color satellite data products[J] . Sean W. Bailey,P. Jeremy Werdell.Remote Sensing of Environment . 2006 (1)
[4]  
An overview of the SeaWiFS project and strategies for producing a climate research quality global ocean bio-optical time series[J] . Charles R. McClain,Gene C. Feldman,Stanford B. Hooker.Deep-Sea Research Part II . 2004 (1)