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Assessment, Validation, and Refinement of the Atmospheric Correction Algorithm for the Ocean Color Sensors

TLDR
In this article, the primary focus of the proposed research is for the atmospheric correction algorithm evaluation and development and satellite sensor calibration and characterization, which is well known in the ocean color remote sensing field.
Abstract
The primary focus of this proposed research is for the atmospheric correction algorithm evaluation and development and satellite sensor calibration and characterization. It is well known that the atmospheric correction, which removes more than 90% of sensor-measured signals contributed from atmosphere in the visible, is the key procedure in the ocean color remote sensing (Gordon and Wang, 1994). The accuracy and effectiveness of the atmospheric correction directly affect the remotely retrieved ocean bio-optical products. On the other hand, for ocean color remote sensing, in order to obtain the required accuracy in the derived water-leaving signals from satellite measurements, an on-orbit vicarious calibration of the whole system, i.e., sensor and algorithms, is necessary. In addition, it is important to address issues of (i) cross-calibration of two or more sensors and (ii) in-orbit vicarious calibration of the sensor-atmosphere system. The goal of these researches is to develop methods for meaningful comparison and possible merging of data products from multiple ocean color missions. In the past year, much efforts have been on (a) understanding and correcting the artifacts appeared in the SeaWiFS-derived ocean and atmospheric produces; (b) developing an efficient method in generating the SeaWiFS aerosol lookup tables, (c) evaluating the effects of calibration error in the near-infrared (NIR) band to the atmospheric correction of the ocean color remote sensors, (d) comparing the aerosol correction algorithm using the singlescattering epsilon (the current SeaWiFS algorithm) vs. the multiple-scattering epsilon method, and (e) continuing on activities for the International Ocean-Color Coordinating Group (IOCCG) atmospheric correction working group. In this report, I will briefly present and discuss these and some other research activities.

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References
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Journal ArticleDOI

A flexible inversion algorithm for retrieval of aerosol optical properties from Sun and sky radiance measurements

TL;DR: The developed algorithm is adapted for the retrieval of aerosol properties from measurements made by ground-based Sun-sky scanning radiometers used in the Aerosol Robotic Network (AERONET) and allows a choice of normal or lognormal noise assumptions.
Journal ArticleDOI

Retrieval of water-leaving radiance and aerosol optical thickness over the oceans with SeaWiFS: a preliminary algorithm

TL;DR: It is shown, using aerosol models, that certain assumptions regarding the spectral behavior of the aerosol reflectance employed in the standard CZCS correction algorithm are not valid over the spectral range encompassing both the visible and the NIR.

Models for the aerosols of the lower atmosphere and the effects of humidity variations on their optical properties

TL;DR: In this paper, a review of the optical properties of these models are discussed and some comparisons of the model with experimental measurements are presented, as well as a comparison of their experimental basis.
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MODIS: advanced facility instrument for studies of the Earth as a system

TL;DR: The moderate resolution imaging spectrometer (MODIS) is discussed as an Earth-viewing sensor that is planned as a facility instrument for the Earth Observing System (Eos) scheduled to begin functioning in the mid-1990s as discussed by the authors.
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Atmospheric correction of satellite ocean color imagery: the black pixel assumption

TL;DR: The effects of nonzero NIR reflectance must be included in the correction of satellite ocean color imagery, particularly for turbid coastal waters.
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