Impact of Atmospheric Correction on Classification and Quantification of Seagrass Density from WorldView-2 Imagery

Hill, Victoria J.; Zimmerman, Richard C.; Bissett, Paul; Kohler, David; Schaeffer, Blake; Coffer, Megan; Li, Jiang; Islam, Kazi Aminul

doi:10.3390/rs15194715

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Impact of Atmospheric Correction on Classification and Quantification of Seagrass Density from WorldView-2 Imagery

2023
By Hill, Victoria J. ; Zimmerman, Richard C. ; Bissett, Paul ; ...
Source: Remote Sensing, 15(19), 4715

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Journal Title:

Remote Sensing
Personal Author:

Hill, Victoria J. ; Zimmerman, Richard C. ; Bissett, Paul ; Kohler, David ; Schaeffer, Blake ; ... More +

Hill, Victoria J. ; Zimmerman, Richard C. ; Bissett, Paul ; Kohler, David ; Schaeffer, Blake ; Coffer, Megan ; Li, Jiang ; Islam, Kazi Aminul Less -
NOAA Program & Office:

NESDIS (National Environmental Satellite, Data, and Information Service) ; STAR (Center for Satellite Applications and Research)

NESDIS (National Environmental Satellite, Data, and Information Service) ; STAR (Center for Satellite Applications and Research) Less -
Description:

Mapping the seagrass distribution and density in the underwater landscape can improve global Blue Carbon estimates. However, atmospheric absorption and scattering introduce errors in space-based sensors’ retrieval of sea surface reflectance, affecting seagrass presence, density, and above-ground carbon (AGCseagrass) estimates. This study assessed atmospheric correction’s impact on mapping seagrass using WorldView-2 satellite imagery from Saint Joseph Bay, Saint George Sound, and Keaton Beach in Florida, USA. Coincident in situ measurements of water-leaving radiance (Lw), optical properties, and seagrass leaf area index (LAI) were collected. Seagrass classification and the retrieval of LAI were compared after empirical line height (ELH) and dark-object subtraction (DOS) methods were used for atmospheric correction. DOS left residual brightness in the blue and green bands but had minimal impact on the seagrass classification accuracy. However, the brighter reflectance values reduced LAI retrievals by up to 50% compared to ELH-corrected images and ground-based observations. This study offers a potential correction for LAI underestimation due to incomplete atmospheric correction, enhancing the retrieval of seagrass density and above-ground Blue Carbon from WorldView-2 imagery without in situ observations for accurate atmospheric interference correction.
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General Earth and Planetary Sciences
Source:

Remote Sensing, 15(19), 4715
DOI:

https://doi.org/10.3390/rs15194715
ISSN:

2072-4292
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MDPI AG
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Journal Article
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https://creativecommons.org/licenses/by/4.0/
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CC BY
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urn:sha256:79b5b453e381e8cf7f556b1fc613b5c33adb3214a8fac1aa6279420c4c23c9b9
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https://staging-noaa.cdc.gov/view/noaa/58775/noaa_58775_DS1.pdf
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Impact of Atmospheric Correction on Classification and Quantification of Seagrass Density from WorldView-2 Imagery

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