OPERATIONAL NIR-RED ALGORITHMS FOR ESTIMATING CHLOROPHYLL-a CONCENTRATION FROM SATELLITE DATA IN INLAND AND COASTAL WATERS

被引：0

作者：

Moses, Wesley J. ^{[1
]}

Gitelson, Anatoly A. ^{[2
]}

Berdnikov, Sergey ^{[3
]}

Bowles, Jeffrey H. ^{[1
]}

Povazhnyi, Vasiliy ^{[3
]}

Saprygin, Vladislav ^{[3
]}

Wagner, Ellen J. ^{[1
]}

Patterson, Karen W. ^{[1
]}

机构：

[1] US Naval Res Lab, 4555 Overlook Ave SW, Washington, DC 20375 USA

[2] Univ Nebraska Lincoln, Sch Nat Resources, 3310 Holdrege St, Lincoln, NE 68503 USA

[3] Russian Acad Sci, Southern Sci Ctr, Rostov Na Donu, Russia

来源：

2014 6TH WORKSHOP ON HYPERSPECTRAL IMAGE AND SIGNAL PROCESSING: EVOLUTION IN REMOTE SENSING (WHISPERS) | 2014年

关键词：

remote sensing; chlorophyll-a; NIR-red; MERIS; HICO; TURBID PRODUCTIVE WATERS; ATMOSPHERIC CORRECTION; REMOTE ESTIMATION; RETRIEVAL;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

We present here results that strongly support the use of NIR-red algorithms, developed based on the spectral channels of MERIS, as standard tools for estimating chlorophyll-a (chl-a) concentration in turbid productive waters. We used an extensive set of MERIS imagery and in situ data collected between 2008 and 2010 in the Azov Sea and the Taganrog Bay, Russia. The overall estimation errors were only 5.5% of the total range of chl-a concentrations measured, illustrating the high accuracy of the MERIS-based NIR-red algorithms without the need for case-specific re parameterization. The NIR-red algorithms were also applied to a series of images acquired by HICO over the same region in 2012-13, after the demise of MERIS. The results demonstrated the strong potential of HICO as a reliable tool for determining coastal water quality.

引用

页数：4

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