Evaluation of atmospheric correction algorithms for OLCI over various turbid case-2 waters
编号:1927 稿件编号:2381 访问权限:仅限参会人 更新:2021-06-20 11:24:57 浏览:829次 口头报告

报告开始:2021年07月10日 15:35 (Asia/Shanghai)

报告时间:12min

所在会议:[S7D] 7D、地理及地理信息科学 » [S7D-1-2] 专题 7.10 内陆水体遥感监测与模拟

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摘要
The ideal spatial, spectral, and radiometric characteristics of Sentinel-3 Ocean and Land Colour Instrument (OLCI) make this sensor attractive for monitoring coastal and inland water quality. Reliable atmospheric correction is essential to support retrieval of optically active substance concentration (e.g., chlorophyll a, phycocyanin, suspended matter, and colored dissolved organic matter) from remote sensing reflectance (Rrs(λ)). This study evaluated four OLCI atmospheric correction methods (including MUMM, Acolite, Polymer, and C2RCC) using in situ reflectance in 13 inland waters. The results indicate that Acolite had the best performance compared with the other three atmospheric correction methods, especially for blue and green bands. MUMM, Polymer and C2RCC are three atmospheric correction methods based on their specific water reflectance models. The uncertainties of the specific water reflectance models lead to these atmospheric correction methods cannot get reliable atmospheric correction results. Acolite had the potential to use as an atmospheric correction method to produce regional or national turbid inland waters Rrs(λ) products.
 
关键字
OLCI,atmospheric correction,turibd inalnd waters,MUMM,Acolite,Polymer,C2RCC
报告人
刘阁
中国科学院东北地理与农业生态研究所

稿件作者
刘阁 中国科学院东北地理与农业生态研究所
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