5 October 2007 Simple and efficient technique for spatial/temporal composite imagery
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Abstract
Satellite ocean color remote sensing is plagued by loss of coverage due to cloud obscuring, glint contamination, atmospheric correction failures, and other issues. We have developed a simple and efficient technique for estimating missing remote sensing data by taking advantage of the inter-pixel spatial and temporal coherency of individual ocean color products. The technique first employs a limited iterative triangular interpolation procedure. This procedure attempts to select three neighboring pixels forming the tightest triangle enclosing the data point we are attempting to recover; and then interpolating. On failure to find three suitable neighbors, a second procedure is employed which attempts to recover missing data points by using a time dependent "latest pixel" replacement. This procedure replaces the missing data point with the most recent data point collected at that grid point within the last seven days. This technique has been applied to MODIS (MODerate resolution Imaging Spectrometer) ocean color products of phytoplankton absorption, back-scattering coefficient, and chlorophyll concentration to produce cloud free bio-optical products on a daily basis and provide a new capability for monitoring coastal processes. We demonstrate a new method on MODIS products and show how bio-optical properties change over a daily and monthly time scale.
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Brandon Casey, Brandon Casey, Robert Arnone, Robert Arnone, Peter Flynn, Peter Flynn, } "Simple and efficient technique for spatial/temporal composite imagery", Proc. SPIE 6680, Coastal Ocean Remote Sensing, 668014 (5 October 2007); doi: 10.1117/12.737329; https://doi.org/10.1117/12.737329
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