Atmospheric Correction Based on Principal Component Analysis in Highly Turbid Waters of the Río de la Plata Estuary
Abstract:
In this work, an atmospheric correction scheme based on Principal Component Analysis of the TOA signal and a simple expression for the transmission coefficient was proposed to estimate water reflectance in the NIR region using four different sets of SWIR correction bands present in MODIS and in the Argentinian-Brazilian future sensor SABIA-Mar. Two factors changed between the four sets: the amount of bands used (2 or 3 bands) and the spectral distance to the NIR, which regulates simultaneously the degree of correlation and the validity of the black pixel assumption.
The atmospheric correction performances were evaluated from a set of simulations of TOA signals using the CNES-SOS radiative transfer code and in situ data available for the Río de la Plata region. All four schemes present better performances when low observation and solar zenith angles (i.e. at low air masses) and low aerosol optical depths occur, being the 1640-2130 band combination the one that performs better globally. Finally, the atmospheric correction scheme was applied to a MODIS image in the Río de la Plata estuary and the water reflectances obtained were compared with in situ radiometric measurements taken simultaneously with the image.