Atmospheric correction over the ocean for hyperspectral radiometers using multi-angle polarimetric retrievals ...
We developed a fast and accurate polynomial based atmospheric correction (POLYAC) algorithm for hyperspectral radiometric measurements, which parameterizes the atmospheric path radiances using aerosol properties retrieved from co-located multi-wavelength multi-angle polarimeter (MAP) measurements. T...
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ftdatacite:10.13016/m2vyfe-ulvc 2023-08-27T04:03:32+02:00 Atmospheric correction over the ocean for hyperspectral radiometers using multi-angle polarimetric retrievals ... Hannadige, Neranga K. Zhai, Peng-Wang Gao, Meng Franz, Bryan A. Hu, Yongxiang Knobelspiesse, Kirk Werdell, P. Jeremy Ibrahim, Amir Cairns, Brian Hasekamp, Otto P. 2021 https://dx.doi.org/10.13016/m2vyfe-ulvc https://mdsoar.org/handle/11603/21055 en eng OSA Publishing This work was written as part of one of the author's official duties as an Employee of the United States Government and is therefore a work of the United States Government. In accordance with 17 U.S.C. 105, no copyright protection is available for such works under U.S. Law. Public Domain Mark 1.0 This item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author. http://creativecommons.org/publicdomain/mark/1.0/ Text Collection article 2021 ftdatacite https://doi.org/10.13016/m2vyfe-ulvc 2023-08-07T14:24:23Z We developed a fast and accurate polynomial based atmospheric correction (POLYAC) algorithm for hyperspectral radiometric measurements, which parameterizes the atmospheric path radiances using aerosol properties retrieved from co-located multi-wavelength multi-angle polarimeter (MAP) measurements. This algorithm has been applied to co-located spectrometer for planetary exploration (SPEX) airborne and research scanning polarimeter (RSP) measurements, where SPEX airborne was used as a proxy of hyperspectral radiometers, and RSP as the MAP. The hyperspectral remote sensing reflectance obtained from POLYAC is accurate when compared to Aerosol Robotic Network (AERONET), and Visible Infrared Imaging Radiometer Suite (VIIRS) ocean color products. POLYAC provides a robust alternative atmospheric correction algorithm for hyperspectral or multi-spectral radiometric measurements for scenes involving coastal oceans and/or absorbing aerosols, where traditional atmospheric correction algorithms are less reliable. ... Article in Journal/Newspaper Aerosol Robotic Network DataCite Metadata Store (German National Library of Science and Technology) |
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Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
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ftdatacite |
language |
English |
description |
We developed a fast and accurate polynomial based atmospheric correction (POLYAC) algorithm for hyperspectral radiometric measurements, which parameterizes the atmospheric path radiances using aerosol properties retrieved from co-located multi-wavelength multi-angle polarimeter (MAP) measurements. This algorithm has been applied to co-located spectrometer for planetary exploration (SPEX) airborne and research scanning polarimeter (RSP) measurements, where SPEX airborne was used as a proxy of hyperspectral radiometers, and RSP as the MAP. The hyperspectral remote sensing reflectance obtained from POLYAC is accurate when compared to Aerosol Robotic Network (AERONET), and Visible Infrared Imaging Radiometer Suite (VIIRS) ocean color products. POLYAC provides a robust alternative atmospheric correction algorithm for hyperspectral or multi-spectral radiometric measurements for scenes involving coastal oceans and/or absorbing aerosols, where traditional atmospheric correction algorithms are less reliable. ... |
format |
Article in Journal/Newspaper |
author |
Hannadige, Neranga K. Zhai, Peng-Wang Gao, Meng Franz, Bryan A. Hu, Yongxiang Knobelspiesse, Kirk Werdell, P. Jeremy Ibrahim, Amir Cairns, Brian Hasekamp, Otto P. |
spellingShingle |
Hannadige, Neranga K. Zhai, Peng-Wang Gao, Meng Franz, Bryan A. Hu, Yongxiang Knobelspiesse, Kirk Werdell, P. Jeremy Ibrahim, Amir Cairns, Brian Hasekamp, Otto P. Atmospheric correction over the ocean for hyperspectral radiometers using multi-angle polarimetric retrievals ... |
author_facet |
Hannadige, Neranga K. Zhai, Peng-Wang Gao, Meng Franz, Bryan A. Hu, Yongxiang Knobelspiesse, Kirk Werdell, P. Jeremy Ibrahim, Amir Cairns, Brian Hasekamp, Otto P. |
author_sort |
Hannadige, Neranga K. |
title |
Atmospheric correction over the ocean for hyperspectral radiometers using multi-angle polarimetric retrievals ... |
title_short |
Atmospheric correction over the ocean for hyperspectral radiometers using multi-angle polarimetric retrievals ... |
title_full |
Atmospheric correction over the ocean for hyperspectral radiometers using multi-angle polarimetric retrievals ... |
title_fullStr |
Atmospheric correction over the ocean for hyperspectral radiometers using multi-angle polarimetric retrievals ... |
title_full_unstemmed |
Atmospheric correction over the ocean for hyperspectral radiometers using multi-angle polarimetric retrievals ... |
title_sort |
atmospheric correction over the ocean for hyperspectral radiometers using multi-angle polarimetric retrievals ... |
publisher |
OSA Publishing |
publishDate |
2021 |
url |
https://dx.doi.org/10.13016/m2vyfe-ulvc https://mdsoar.org/handle/11603/21055 |
genre |
Aerosol Robotic Network |
genre_facet |
Aerosol Robotic Network |
op_rights |
This work was written as part of one of the author's official duties as an Employee of the United States Government and is therefore a work of the United States Government. In accordance with 17 U.S.C. 105, no copyright protection is available for such works under U.S. Law. Public Domain Mark 1.0 This item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author. http://creativecommons.org/publicdomain/mark/1.0/ |
op_doi |
https://doi.org/10.13016/m2vyfe-ulvc |
_version_ |
1775350577251745792 |