Vol. 13, No. 2, 58-66, 2014 |
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Multi-sensor ocean colour atmospheric correction for time-series data: Application to LANDSAT ETM+ and OLI data
Samantha Lavender
Abstract The underlying approach is a Coastal Zone Color Scanner (CZCS) style aerosol estimation, using an Angstrom exponent, where the water's contribution to the Top Of Atmosphere (TOA) signal within the aerosol estimation wavebands is subtracted using a Bright Pixel (BP) estimation. This BPAC was originally developed for MEdium Resolution Imaging Spectrometer (MERIS), and includes a near infrared (NIR) optical water model. For Landsat, there is also an additional approach that extends the AC over the land using shortwave infrared (SWIR) vegetation 'dark targets' i.e. akin to the Dark Pixel (DP) approach over water. The preliminary results appear promising, but further research is needed. Although the suspended particulate matter (SPM) maps have realistic patterns, spectral plots comparing the Landsat results to MERIS and Moderate Resolution Imaging Spectroradiometer on the Aqua spacecraft (MODISA) atmospherically corrected data appear to show that the reflectance values are too high and the spectral shape indicates the BPAC is failing in some areas for the Landsat ETM+ data. | |||||||||||||||||||
View Full Text (pdf file, 5.4 MB, first published)
View Full Text (pdf file, 5.2 MB, published on 29 Apr 2015 with corrected Figs. 3d and 4d) |
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DOI:
10.12760/01-2014-2-03 History Submitted: 31 Mar 2014 Revised: 14 Nov 2014 Accepted: 17 Nov 2014 Published: 20 Nov 2014 Responsible editor: Rainer Reuter Citation Lavender S, 2014. Multi-sensor ocean colour atmospheric correction for time-series data: Application to LANDSAT ETM+ and OLI data. EARSeL eProceedings, 13(2): 58-66 |
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ISSN 1729-3782 |