Ocean color instrument intercomparisons and cross-calibrations by the SIMBIOS project

The Sensor Intercomparison and Merger for Biological and Interdisciplinary Oceanic Studies (SIMBIOS) Project has a worldwide, ongoing ocean color data collection program, plus an operational data processing and analysis capability, SIMBIOS data collection takes place via the SIMBIOS Science Team and the Aerosol Robotic Network (AERONET). In addition, SIMBIOS has a calibration and product validation component. The primary purpose of these calibration and product validation activities are to (1) reduce measurement error by identifying and characterizing true error sources such as real changes in the satellite sensor or problems in the atmospheric correction algorithm, in order to differentiate these errors from natural variability in the marine light field; and (2) evaluate the various bio-optical algorithms being used by different ocean color missions. For each sensor, the SIMBIOS Project reviews the sensor design and processing algorithms being used by the particular ocean color project, compares the algorithms with alternative methods when possible, and provides the results to the appropriate project office, e.g., Centre National D'Etudes Spatialle (CNES) and National Space Development Agency of Japan (NASDA) for Polarization and Directionality of the Earth's Reflectance (POLDER) and Ocean Color and Temperature Sensor (OCTS), respectively. In the near future the Project is looking forward to collaborate with Global Imager (GLI), Ocean Color Imager (OCI) and international entities such as the International Ocean-Colour Coordinating Group (IOCCG) and Space Application Institute (Joint Research Center).

[1]  M. Leroy,et al.  Selection and characterization of Saharan and Arabian desert sites for the calibration of optical satellite sensors , 1996 .

[2]  H. Gordon,et al.  Influence of oceanic whitecaps on atmospheric correction of ocean-color sensors. , 1994, Applied optics.

[3]  K. Voss,et al.  Validation of atmospheric correction over the oceans , 1997 .

[4]  Menghua Wang,et al.  Retrieval of water-leaving radiance and aerosol optical thickness over the oceans with SeaWiFS: a preliminary algorithm. , 1994, Applied optics.

[5]  W. Esaias,et al.  Initial analysis of ocean color data from the ocean color and temperature scanner. II. Geometric and radiometric analysis. , 1999, Applied optics.

[6]  T. Nakajima,et al.  Correction of atmospheric effect on ADEOS/OCTS ocean color data: Algorithm description and evaluation of its performance , 1998 .

[7]  Michael Rast,et al.  IOCCG Report Number 2 , 1999 Status and plans for Satellite Ocean-Colour Missions : Considerations for Complementary Missions , 1999 .

[8]  Bryan A. Franz,et al.  Comparing the ocean color measurements between MOS and SeaWiFS: a vicarious intercalibration approach for MOS , 2000, IEEE Trans. Geosci. Remote. Sens..

[9]  E. Vermote,et al.  SPOT calibration at the La Crau test site (France) , 1992 .

[10]  Frederick S. Patt,et al.  SeaWiFS measurements of the moon , 1998, Remote Sensing.

[11]  A. Smirnov,et al.  AERONET-a federated instrument network and data archive for aerosol Characterization , 1998 .

[12]  Thomas S. Pagano,et al.  Prelaunch characteristics of the Moderate Resolution Imaging Spectroradiometer (MODIS) on EOS-AM1 , 1998, IEEE Trans. Geosci. Remote. Sens..