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On the Application of AERONET-OC Multispectral Data to Assess Satellite-Derived Hyperspectral <i>R</i> <sub>rs</sub>

Marco Talone, Giuseppe Zibordi, Jaime Pitarch

Year
2024
Citations
7
Access
Open access

Abstract

The potential for applying in situ multispectral <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">R<sub>rs</sub></i> data from the Ocean Color component of the Aerosol Robotic Network (AERONET-OC) to validate satellite derived ocean color hyperspectral <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">R<sub>rs</sub></i> products was investigated in the 400-700 nm interval. The analysis was performed using a comprehensive data set of simulated hyperspectral <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">R<sub>rs</sub></i> in combination with an algorithm designed to re-construct hyperspectral <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">R<sub>rs</sub></i> from multispectral ones. Results were assessed using in situ hyperspectral <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">R<sub>rs</sub></i> representative of diverse water types. Excluding waters dominated by a high concentration of colored dissolved organic matter, results indicate the capability of determining hyperspectral <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">R<sub>rs</sub></i> from AERONET-OC multispectral data with mean relative and absolute uncertainties generally lower than 2% and 5 × 10 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">−5</sup> <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">sr</i> <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">−1</sup> , respectively, at a number of the key center-wavelengths of the Ocean Color Instrument (OCI) onboard the Plankton, Aerosol, Cloud, ocean Ecosystem (PACE).

Keywords

Multispectral imageHyperspectral imagingSatelliteRemote sensingComputer scienceAlgorithmArtificial intelligencePhysicsGeology

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