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Comparative analysis of GOCI ocean color products.
Amin, Ruhul; Lewis, Mark David; Lawson, Adam; Gould, Richard W; Martinolich, Paul; Li, Rong-Rong; Ladner, Sherwin; Gallegos, Sonia.
Afiliação
  • Amin R; BioOptoSense LLC, New Orleans, LA 70115, USA. biooptosense@gmail.com.
  • Lewis MD; Naval Research Laboratory, Code 7331, Stennis Space Center, MS 39529, USA. David.Lewis@nrlssc.navy.mil.
  • Lawson A; Naval Research Laboratory, Code 7331, Stennis Space Center, MS 39529, USA. Adam.Lawson@nrlssc.navy.mil.
  • Gould RW; Naval Research Laboratory, Code 7331, Stennis Space Center, MS 39529, USA. Richard.Gould@nrlssc.navy.mil.
  • Martinolich P; Vencore, Inc., Stennis Space Center, MS 39529, USA. Paul.Martinolich.ctr@nrlssc.navy.mil.
  • Li RR; Naval Research Laboratory, Code 7231, Building 2, Washington, DC 20375, USA. rong-rong.li@nrl.navy.mil.
  • Ladner S; Naval Research Laboratory, Code 7331, Stennis Space Center, MS 39529, USA. Sherwin.Ladner@nrlssc.navy.mil.
  • Gallegos S; Naval Research Laboratory, Code 7331, Stennis Space Center, MS 39529, USA. Sonia.Gallegos@nrlssc.navy.mil.
Sensors (Basel) ; 15(10): 25703-15, 2015 Oct 12.
Article em En | MEDLINE | ID: mdl-26473861
ABSTRACT
The Geostationary Ocean Color Imager (GOCI) is the first geostationary ocean color sensor in orbit that provides bio-optical properties from coastal and open waters around the Korean Peninsula at unprecedented temporal resolution. In this study, we compare the normalized water-leaving radiance (nLw) products generated by the Naval Research Laboratory Automated Processing System (APS) with those produced by the stand-alone software package, the GOCI Data Processing System (GDPS), developed by the Korean Ocean Research & Development Institute (KORDI). Both results are then compared to the nLw measured by the above water radiometer at the Ieodo site. This above-water radiometer is part of the Aerosol Robotic NETwork (AeroNET). The results indicate that the APS and GDPS processed  correlates well within the same image slot where the coefficient of determination (r²) is higher than 0.84 for all the bands from 412 nm to 745 nm. The agreement between APS and the AeroNET data is higher when compared to the GDPS results. The Root-Mean-Squared-Error (RMSE) between AeroNET and APS data ranges from 0.24 [mW/(cm²srµm)] at 555 nm to 0.52 [mW/(cm²srµm)]  at 412 nm while RMSE between AeroNET and GDPS data ranges from 0.47 [mW/(cm²srµm)] at 443 nm to 0.69 [mW/(cm²srµm)]  at 490 nm.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Processamento de Imagem Assistida por Computador / Oceanos e Mares / Monitoramento Ambiental / Astronave / Sistemas de Informação Geográfica Idioma: En Ano de publicação: 2015 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Processamento de Imagem Assistida por Computador / Oceanos e Mares / Monitoramento Ambiental / Astronave / Sistemas de Informação Geográfica Idioma: En Ano de publicação: 2015 Tipo de documento: Article