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Sensors 2010, 10(7), 6421-6438; doi:10.3390/s100706421

Aerosol Optical Retrieval and Surface Reflectance from Airborne Remote Sensing Data over Land

1
Institute for Atmospheric Pollution (IIA), Italian National Research Council (CNR), Division Airborne Laboratory for Environmental Research (LARA), Research Area of Roma-2 in Tor Vergata, Via Fosso del Cavaliere 100, 00133 Rome, Italy
2
Institute of Methodologies for Environmental Analysis (IMAA), Italian National Research Council (CNR), C.da S. Loja, 85050 Tito (Potenza), Italy
*
Author to whom correspondence should be addressed.
Received: 31 March 2010 / Revised: 12 May 2010 / Accepted: 11 June 2010 / Published: 30 June 2010
(This article belongs to the Section Remote Sensors)
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Abstract

Quantitative analysis of atmospheric optical properties and surface reflectance can be performed by applying radiative transfer theory in the Atmosphere-Earth coupled system, for the atmospheric correction of hyperspectral remote sensing data. This paper describes a new physically-based algorithm to retrieve the aerosol optical thickness at 550nm (τ550) and the surface reflectance (ρ) from airborne acquired data in the atmospheric window of the Visible and Near-Infrared (VNIR) range. The algorithm is realized in two modules. Module A retrieves τ550 with a minimization algorithm, then Module B retrieves the surface reflectance ρ for each pixel of the image. The method was tested on five remote sensing images acquired by an airborne sensor under different geometric conditions to evaluate the reliability of the method. The results, τ550 and ρ, retrieved from each image were validated with field data contemporaneously acquired by a sun-sky radiometer and a spectroradiometer, respectively. Good correlation index, r, and low root mean square deviations, RMSD, were obtained for the τ550 retrieved by Module A (r2 = 0.75, RMSD = 0.08) and the ρ retrieved by Module B (r2 ≤ 0.9, RMSD ≤ 0.003). Overall, the results are encouraging, indicating that the method is reliable for optical atmospheric studies and the atmospheric correction of airborne hyperspectral images. The method does not require additional at-ground measurements about at-ground reflectance of the reference pixel and aerosol optical thickness. View Full-Text
Keywords: atmospheric radiative transfer; aerosol optical thickness; atmospheric correction; hyperspectral remote sensing; reflectance; remote sensing atmospheric radiative transfer; aerosol optical thickness; atmospheric correction; hyperspectral remote sensing; reflectance; remote sensing
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MDPI and ACS Style

Bassani, C.; Cavalli, R.M.; Pignatti, S. Aerosol Optical Retrieval and Surface Reflectance from Airborne Remote Sensing Data over Land. Sensors 2010, 10, 6421-6438.

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