Suppression of local haze variations in MERIS images over turbid coastal waters for retrieval of suspended sediment concentration

F. Shen, W. Verhoef

Research output: Contribution to journalArticleAcademicpeer-review

9 Citations (Scopus)

Abstract

Atmospheric correction over turbid waters can be problematic if atmospheric haze is spatially variable. In this case the retrieval of water quality is hampered by the fact that haze variations could be partly mistaken for variations in suspended sediment concentration (SSC). In this study we propose the suppression of local haze variations while leaving sediment variations intact. This is accomplished by a multispectral data projection (MDP) method based on a linear spectral mixing model, and applied prior to the actual standard atmospheric correction. In this linear model, the hazesediment spectral mixing was simulated by a coupled water-atmosphere radiative transfer (RT) model. As a result, local haze variations were largely suppressed and transformed into an approximately homogenous atmosphere over the MERIS top-of-atmosphere (TOA) radiance scene. The suppression of local haze variations increases the number of satellite images that are still suitable for standard atmospheric correction processing and subsequent water quality analysis
Original languageEnglish
Pages (from-to)12653-12662
JournalOptics Express
Volume18
Issue number12
DOIs
Publication statusPublished - 2010

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coastal water
haze
retrieval
sediments
retarding
atmospheric correction
water quality
atmospheres
radiance
radiative transfer
water
projection

Keywords

  • atmospheric correction
  • algorithm
  • seawifs

Cite this

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title = "Suppression of local haze variations in MERIS images over turbid coastal waters for retrieval of suspended sediment concentration",
abstract = "Atmospheric correction over turbid waters can be problematic if atmospheric haze is spatially variable. In this case the retrieval of water quality is hampered by the fact that haze variations could be partly mistaken for variations in suspended sediment concentration (SSC). In this study we propose the suppression of local haze variations while leaving sediment variations intact. This is accomplished by a multispectral data projection (MDP) method based on a linear spectral mixing model, and applied prior to the actual standard atmospheric correction. In this linear model, the hazesediment spectral mixing was simulated by a coupled water-atmosphere radiative transfer (RT) model. As a result, local haze variations were largely suppressed and transformed into an approximately homogenous atmosphere over the MERIS top-of-atmosphere (TOA) radiance scene. The suppression of local haze variations increases the number of satellite images that are still suitable for standard atmospheric correction processing and subsequent water quality analysis",
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Suppression of local haze variations in MERIS images over turbid coastal waters for retrieval of suspended sediment concentration. / Shen, F.; Verhoef, W.

In: Optics Express, Vol. 18, No. 12, 2010, p. 12653-12662.

Research output: Contribution to journalArticleAcademicpeer-review

TY - JOUR

T1 - Suppression of local haze variations in MERIS images over turbid coastal waters for retrieval of suspended sediment concentration

AU - Shen, F.

AU - Verhoef, W.

PY - 2010

Y1 - 2010

N2 - Atmospheric correction over turbid waters can be problematic if atmospheric haze is spatially variable. In this case the retrieval of water quality is hampered by the fact that haze variations could be partly mistaken for variations in suspended sediment concentration (SSC). In this study we propose the suppression of local haze variations while leaving sediment variations intact. This is accomplished by a multispectral data projection (MDP) method based on a linear spectral mixing model, and applied prior to the actual standard atmospheric correction. In this linear model, the hazesediment spectral mixing was simulated by a coupled water-atmosphere radiative transfer (RT) model. As a result, local haze variations were largely suppressed and transformed into an approximately homogenous atmosphere over the MERIS top-of-atmosphere (TOA) radiance scene. The suppression of local haze variations increases the number of satellite images that are still suitable for standard atmospheric correction processing and subsequent water quality analysis

AB - Atmospheric correction over turbid waters can be problematic if atmospheric haze is spatially variable. In this case the retrieval of water quality is hampered by the fact that haze variations could be partly mistaken for variations in suspended sediment concentration (SSC). In this study we propose the suppression of local haze variations while leaving sediment variations intact. This is accomplished by a multispectral data projection (MDP) method based on a linear spectral mixing model, and applied prior to the actual standard atmospheric correction. In this linear model, the hazesediment spectral mixing was simulated by a coupled water-atmosphere radiative transfer (RT) model. As a result, local haze variations were largely suppressed and transformed into an approximately homogenous atmosphere over the MERIS top-of-atmosphere (TOA) radiance scene. The suppression of local haze variations increases the number of satellite images that are still suitable for standard atmospheric correction processing and subsequent water quality analysis

KW - atmospheric correction

KW - algorithm

KW - seawifs

U2 - 10.1364/OE.18.012653

DO - 10.1364/OE.18.012653

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VL - 18

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EP - 12662

JO - Optics Express

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