Details:

Journal Title:
Remote Sensing of Environment
Personal Author:
Ibrahim, Amir ; Gilerson, Alexander ; Chowdhary, Jacek ; Ahmed, Samir
Ibrahim, Amir ; Gilerson, Alexander ; Chowdhary, Jacek ; Ahmed, Samir Less -
NOAA Program & Office:
CREST (Center for Earth System Sciences and Remote Sensing Technologies and Tech Center at City College of CUNY)
Description:
Remote sensing has mainly relied on measurements of scalar radiance and its spectral and angular features to retrieve micro- and macro-physical properties of aerosols/hydrosols. However, it is recognized that measurements that include the polarimetric characteristics of light provide more intrinsic information about particulate scattering. To take advantage of this, we used vector radiative transfer (VRT) simulations and developed an analytical relationship to retrieve the macro and micro-physical properties of the oceanic hydrosols. Specifically, we investigated the relationship between the observed degree of linear polarization (DoLP) and the ratio of attenuation-to-absorption coefficients (c/a) in water, from which the scattering coefficient can be readily computed (b = c − a), after retrieving a. This relationship was parameterized for various scattering geometries, including sensor zenith/azimuth angles relative to the Sun's principal plane, and for varying Sun zenith angles. An inversion method was also developed for the retrieval of the microphysical properties of hydrosols, such as the bulk refractive index and the particle size distribution. The DoLP vs c/a relationship was tested and validated against in-situ measurements of underwater light polarization obtained by a custom-built polarimeter and measurements of the coefficients a and c, obtained using an in-water WET Labs ac-s instrument package. These measurements confirmed the validity of the approach, with retrievals of attenuation coefficients showing a high coefficient of determination depending on the wavelength. We also performed a sensitivity analysis of the DoLP at the Top of Atmosphere (TOA) over coastal waters showing the possibility of polarimetric remote sensing application for ocean color.
Keywords:
[+]
Ocean Bottom Ocean Color Plankton Remote Sensing
Source:
Remote Sensing of Environment, 186: 548-566
DOI:
https://doi.org/10.1016/j.rse.2016.09.004
Document Type:
Journal Article
Funding:
Grant no. NA11SEC4810004
Rights Information:
Accepted Manuscript
Compliance:
CHORUS
Main Document Checksum:
[+]
urn:sha256:801c630d253e438c3f5f471022fb02251680734660dc5b9c95003be3ac8ae076
Download URL:
https://repository.library.noaa.gov/view/noaa/48452/noaa_48452_DS1.pdf
File Type:

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