• Acta Optica Sinica
  • Vol. 38, Issue 3, 301001 (2018)
Jia Houlei1, Su Wen1, Huang Huamei1, Sun Qingyang1, Jiang Guangjia2、*, and Ma Ronghua3
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • 3[in Chinese]
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    DOI: 10.3788/AOS201838.0301001 Cite this Article Set citation alerts
    Jia Houlei, Su Wen, Huang Huamei, Sun Qingyang, Jiang Guangjia, Ma Ronghua. Dynamic Change Characteristics and Its Dominant Influencing Factors of Secchi Disk Depth in Coastal and Inland Waters[J]. Acta Optica Sinica, 2018, 38(3): 301001 Copy Citation Text show less
    Investigated waters and sample point distributions. (a) Taihu Lake; (b) Poyang Lake; (c) Pearl River Estuary; (d) Daya Bay
    Fig. 1. Investigated waters and sample point distributions. (a) Taihu Lake; (b) Poyang Lake; (c) Pearl River Estuary; (d) Daya Bay
    Quasi-synchronization sample point distribution of remote sensing data from VIIRS satellite
    Fig. 2. Quasi-synchronization sample point distribution of remote sensing data from VIIRS satellite
    (a) Influence of Secchi disk depth on remote sensing reflection spectra of waters; (b) SD_H
    Fig. 3. (a) Influence of Secchi disk depth on remote sensing reflection spectra of waters; (b) SD_H
    Relationship between Secchi disk depth and SD_H
    Fig. 4. Relationship between Secchi disk depth and SD_H
    Relationship between measured and calculated Secchi disk depth
    Fig. 5. Relationship between measured and calculated Secchi disk depth
    Comparison of Secchi disk depth remote sensing evaluation models. (a) Single-band model; (b) band ratio model; (c) three-band model; (d) QAA and SD_H model
    Fig. 6. Comparison of Secchi disk depth remote sensing evaluation models. (a) Single-band model; (b) band ratio model; (c) three-band model; (d) QAA and SD_H model
    (a) Comparison of measured and satellite-derived remote sensing reflectance ratioRrs; (b) comparison of remote sensing reflectance spectrum and satellite remote sensing image reflectance spectrum measured at quasi-synchronous sampling points; (c) comparison of satellite remote sensing image and measured SD_H
    Fig. 7. (a) Comparison of measured and satellite-derived remote sensing reflectance ratio Rrs ; (b) comparison of remote sensing reflectance spectrum and satellite remote sensing image reflectance spectrum measured at quasi-synchronous sampling points; (c) comparison of satellite remote sensing image and measured SD_H
    Spatial distributions of Secchi disk depth in Pearl River Estuary, Daya Bay, Taihu Lake, and Poyang Lake. (a) Satellite data evaluation results in Pearl River Estuary and Daya Bay (white represents cloud-shaded water, where the transparency is set to zero); (b) field monitoring data in Pearl River Estuary and Daya Bay; (c) satellite data evaluation result in Taihu Lake; (d) satellite data evaluation result in Poyang Lake
    Fig. 8. Spatial distributions of Secchi disk depth in Pearl River Estuary, Daya Bay, Taihu Lake, and Poyang Lake. (a) Satellite data evaluation results in Pearl River Estuary and Daya Bay (white represents cloud-shaded water, where the transparency is set to zero); (b) field monitoring data in Pearl River Estuary and Daya Bay; (c) satellite data evaluation result in Taihu Lake; (d) satellite data evaluation result in Poyang Lake
    Correlation among Secchi disk depth of investigated waters,cTSS,cChlaandaCDOM(440). (a) Pearl River Estuary; (b) Daya Bay; (c) Taihu Lake; (d) Poyang Lake
    Fig. 9. Correlation among Secchi disk depth of investigated waters, cTSS , cChla and aCDOM (440). (a) Pearl River Estuary; (b) Daya Bay; (c) Taihu Lake; (d) Poyang Lake
    Correlation among Secchi disk depth of all sampling points, (a)cTSS, (b)cChlaand (c)aCDOM(440)
    Fig. 10. Correlation among Secchi disk depth of all sampling points, (a) cTSS , (b) cChla and (c) aCDOM (440)
    Comparison of Secchi disk depth products between VIIRS and MODIS Aqua observations on 2014-01-03 in Pearl River Estuary. (a) VIIRS; (b) MODIS
    Fig. 11. Comparison of Secchi disk depth products between VIIRS and MODIS Aqua observations on 2014-01-03 in Pearl River Estuary. (a) VIIRS; (b) MODIS
    TypeModelAlgorithm
    Empirical modelSingle-band modelDSD = a+bRrs (678)
    Band-ratio modelDSD = a+b [ Rrs (488)/ Rrs (555)]
    Three-band modelDSD = a+bRrs (678)+ c [ Rrs (488)/ Rrs (555)]
    Quasi-analytical modelQAA-based modelDSD=12.5min[Kd(443,488,531,547,665)] ln 0.14-Rrstr0.013
    Table 1. Transparency remote sensing evaluation models
    StepPropertyExpression
    1rrsrrs = Rrs /(0.52+1.7 Rrs )
    2u ( λ ) =bbλa(λ)+bbλu ( λ ) =-g0+(g02+4g1rrs)122g1 , g0 =0.089, g1 =0.125
    3a (555)a (555)= aw (555) +10-1.146-1.366χ-0.469χ2 , χ= lg rrs(443)+rrs488rrs(555)+5rrs672rrs488rrs672
    4bbp (555)bbp (555)= u(555)a(555)1-u(555)-bbw (555)
    5ηη =2 . 0 1-1.2exp-0.9rrs443rrs555
    6bbp ( λ )bbp ( λ )= bbp (555) 555λη
    7a ( λ )a ( λ )= [1-u(λ)][bbw(λ)+bbp(λ)]u(λ)
    8kd ( λ )kd ( λ )=(1 +m0θs ) a ( λ ) +1-γbbwλbbλm1 {1 -m2 exp[ -m3a ( λ )]} bb ( λ ), m0 =0.005, m1 =4.26, m2 =0.52, m3 =10.8, γ =0.265
    9SDSD = 12.5min[Kd(443,488,531,547,665)] ln 0.14-Rrstr0.013
    Table 2. Calculation procedure of transparency remote sensing evaluation model based on QAA
    Investigated areaSampling dateWatersSite No.SD /mcTSS /(mg·L -1 )cChla /(μg·L -1 )aCDOM (440) /m -1
    Taihu Lake2011-05-01—2011-05-08Taihu Lake (2011-05)510.25±0.1148.31±37.1623.17±64.931.41±1.04
    Poyang Lake2011-08-08—2011-08-10Poyang Lake (2011-08)380.22±0.12108.97±100.636.53±7.541.67±0.94
    Pearl River Estuary2014-05-11—2014-05-13Pearl River Estuary(2014-05)230.84±0.4425.45±18.532.01±1.200.55±0.27
    Daya Bay2014-05-15—2014-05-18Daya Bay (2014-05)272.41±1.2821.97±5.584.92±1.550.26±0.18
    Table 3. Sampling information and ecological parameter statistics of waters in Taihu Lake, Poyang Lake, Pearl River Estuary, and Daya Bay
    VIIRSMODIS
    BandCentral wavelength /nmWavelength range /nmSpatial resolution /mBand No.Central wavelength /nmWavelength range /nmSpatial resolution/m
    M1412207508412151000
    M2445187509443101000
    M34882075010488101000
    346920500
    M45552075012551101000
    455520500
    I164550375164550250
    M56722075013667101000
    M67511575015748101000
    M78653975016870151000
    I286539375285936250
    Table 4. Comparison of water color band settings of VIIRS and MODIS
    Jia Houlei, Su Wen, Huang Huamei, Sun Qingyang, Jiang Guangjia, Ma Ronghua. Dynamic Change Characteristics and Its Dominant Influencing Factors of Secchi Disk Depth in Coastal and Inland Waters[J]. Acta Optica Sinica, 2018, 38(3): 301001
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