A bias correction method for FY-3C VIRR SST data

被引：8
|
作者：
Liao, Zhihong [1 ,2 ]
Dong, Qing [1 ]
Xue, Cunjin [1 ]
机构：
[1] Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Key Lab Digital Earth Sci, Beijing 100094, Peoples R China
[2] Univ Chinese Acad Sci, Coll Resoures & Environm, Beijing, Peoples R China
来源：
REMOTE SENSING LETTERS | 2017年 / 8卷 / 05期
基金：
中国国家自然科学基金;
关键词：
SEA-SURFACE TEMPERATURE; SYSTEM;
D O I：
10.1080/2150704X.2017.1280199
中图分类号：
TP7 [遥感技术];
学科分类号：
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要：
A bias correction method was proposed for correcting the significant negative sea surface temperature (SST) biases in Fengyun-3C (FY-3C) visible and infrared radiometer (VIRR) products. The multichannel SST algorithm (MCSST) for the daytime SST and night-time SST of VIRR products are modified for estimating the debiased VIRR SSTs, and the optimal local matchup data are selected for each SST observations based on the distance to each parts of regressors in R-space. Compared with the probability density function matching technique for bias correction, the proposed method can better remove the negative biases and decrease the standard deviations of biases.
引用
收藏
页码：429 / 437
页数：9
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