Atmospheric correction algorithm for hyperspectral remote sensing of ocean color from space.

Existing atmospheric correction algorithms for multichannel remote sensing of ocean color from space were designed for retrieving water-leaving radiances in the visible over clear deep ocean areas and cannot easily be modified for retrievals over turbid coastal waters. We have developed an atmospheric correction algorithm for hyperspectral remote sensing of ocean color with the near-future Coastal Ocean Imaging Spectrometer. The algorithm uses look-up tables generated with a vector radiative transfer code. Aerosol parameters are determined by a spectrum-matching technique that uses channels located at wavelengths longer than 0.86 mum. The aerosol information is extracted back to the visible based on aerosol models during the retrieval of water-leaving radiances. Quite reasonable water-leaving radiances have been obtained when our algorithm was applied to process hyperspectral imaging data acquired with an airborne imaging spectrometer.

[1]  H. Neckel,et al.  The solar radiation between 3300 and 12500 Å , 1984 .

[2]  P. Deschamps,et al.  Description of a computer code to simulate the satellite signal in the solar spectrum : the 5S code , 1990 .

[3]  D. Roberts,et al.  Estimation of aerosol optical depth and additional atmospheric parameters for the calculation of apparent reflectance from radiance measured by the Airborne Visible/Infrared Imaging Spectrometer , 1993 .

[4]  Aaas News,et al.  Book Reviews , 1893, Buffalo Medical and Surgical Journal.

[5]  H. Gordon.  Atmospheric correction of ocean color imagery in the Earth Observing System era , 1997 .

[6]  Curtiss O. Davis,et al.  Hyperspectral remote sensing technology (HRST) program and the Naval EarthMap Observer (NEMO) satellite , 1998, Optics & Photonics.

[7]  Ziauddin Ahmad,et al.  An Iterative Radiative Transfer Code For Ocean-Atmosphere Systems , 1982 .

[8]  Donald C. Rundquist,et al.  Comparison of NIR/RED ratio and first derivative of reflectance in estimating algal-chlorophyll concentration: A case study in a turbid reservoir , 1997 .

[9]  A. Goetz,et al.  Software for the derivation of scaled surface reflectances from AVIRIS data , 1992 .

[10]  Bo-Cai Gao,et al.  Naval EarthMap Observer (NEMO) science and naval products , 1998, Optics & Photonics.

[11]  Wallace M. Porter,et al.  The airborne visible/infrared imaging spectrometer (AVIRIS) , 1993 .

[12]  Bo-Cai Gao,et al.  Development of a line-by-line-based atmosphere removal algorithm for airborne and spaceborne imaging spectrometers , 1997, Optics & Photonics.

[13]  D. Tanré,et al.  Remote sensing of aerosol properties over oceans using the MODIS/EOS spectral radiances , 1997 .

[14]  F. Muller‐Karger,et al.  AVIRIS calibration and application in coastal oceanic environments - Tracers of soluble and particulate constituents of the Tampa Bay coastal plume , 1993 .

[15]  R. S. Fraser,et al.  Algorithm for Atmospheric and Glint Corrections of Satellite Measurements of Ocean Pigment , 1997 .

[16]  H. Gordon,et al.  Removal of atmospheric effects from satellite imagery of the oceans. , 1978, Applied optics.

[17]  Kendall L. Carder,et al.  Requirements-driven design of an imaging spectrometer system for characterization of the coastal environment , 1997, Optics & Photonics.

[18]  W. Paul Menzel,et al.  Remote sensing of cloud, aerosol, and water vapor properties from the moderate resolution imaging spectrometer (MODIS) , 1992, IEEE Trans. Geosci. Remote. Sens..

[19]  C. Davis,et al.  Method to derive ocean absorption coefficients from remote-sensing reflectance. , 1996, Applied optics.

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

[21]  E. Shettle,et al.  Models for the aerosols of the lower atmosphere and the effects of humidity variations on their optical properties , 1979 .

[22]  R. Fraser,et al.  The Relative Importance of Aerosol Scattering and Absorption in Remote Sensing , 1985, IEEE Transactions on Geoscience and Remote Sensing.

[23]  C. Davis,et al.  Estimating chlorophyll content and bathymetry of Lake Tahoe using AVIRIS data , 1993 .

[24]  A F Goetz,et al.  Imaging Spectrometry for Earth Remote Sensing , 1985, Science.