Laser & Optoelectronics Progress, Volume. 58, Issue 22, 2201001(2021)

Temporal and Spatial Distribution of Suspended Particles in Qingcaosha Reservoir of the Yangtze River Estuary Based on Landsat-8 OLI

Jingjing Zhu1, Jingwei Zhang2, Ying Mao3,4, and Zhongfeng Qiu2、*
Author Affiliations
  • 1School of Electronic & Information Engineering, Nanjing University of Information Science and Technology, Nanjing, Jiangsu 210044, China;
  • 2School of Marine Science, Nanjing University of Information Science and Technology, Nanjing, Jiangsu 210044, China
  • 3Fujian Provincial Meteorological Disaster Prevention Technology Center, Fuzhou, Fujian 350001, China
  • 4Fujian Key Laboratory of Severe Weather, Fuzhou, Fujian 350001, China
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    Figures & Tables(11)
    True color image of Qingcaosha reservoir (composite from L8/OLI bands 4, 3, and 2) acquired on 12 February, 2017 by the Landsat-8 (row 118, path 38)
    Scatter plot of the measured and estimated SPM concentration (The black line is the 1∶1 line. The L8 images were acquired on 22 September, 2016 and 4 March, 2018). (a) SPM concentration measured in situ versus SPM estimated from the calibrated mode; (b) scatter plots of comparisons between L8/OLI measured SPM concentration in-situ and estimated concentration made within 24 h time window
    Average distribution of SPM concentration derived from 2013 to 2019. (a) Average distribution of SPM concentration obtained based on the L8/OLI inversion, in which three sections (labeled L, M and N) are used to analyze the SPM concentration distribution at different locations, L, M, and N represent the upper part, the middle part and the lower part, respectively, and the position of the inlet gate of the reservoir is marked as A; (b) corresponding standard deviation
    Spatial distributions of SPM concentration derived from 2013 to 2019 L8/OLI measurements. (a) Spatial distributions of maximum; (b) spatial distributions of minimum
    Comparison between mean SPM concentrations and standard deviation (STD) along the three sections, where mean SPM concentration and STD are derived from 2013 to 2019 L8/OLI measurements, and the grey areas represent the latitude ranges of the Qingcaosha reservoir
    Spatial distributions of SPM concentration derived from L8/OLI measurements. (a) January 23, 2015; (b) March 12, 2015; (c) August 24, 2016; (d) October 30, 2018
    SPM distribution at L, M and N sections, where different lines represent inversion values of L8/OLI SPM concentration at different time and the grey areas represent the latitude ranges of the Qingcaosha reservoir
    Comparison of SPM concentration in three sections based on 20 scenes L8/OLI estimation (the gray area represents the latitude range of Qingcaosha reservoir; from top to bottom, the sections are L, M and N, respectively)
    • Table 1. 20 remote sensing image information

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      Table 1. 20 remote sensing image information

      No.TimeNo.Time
      12014-12-22112017-04-02
      22015-01-07122017-04-18
      32015-01-23132017-07-23
      42015-03-12142017-08-24
      52016-01-26152018-01-15
      62016-02-27162018-05-23
      72016-04-15172018-07-26
      82016-06-02182018-10-30
      92016-07-20192018-12-17
      102017-02-13202019-01-18
    • Table 2. Band setting information of L8/OLI

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      Table 2. Band setting information of L8/OLI

      BandWavelength /μmResolution /mCenter wavelength /μm
      Band 1, Coastal0.433--0.453300.443
      Band 2, Blue0.450--0.515300.483
      Band 3, Green0.525--0.600300.561
      Band 4, Red0.630--0.680300.655
      Band 5, NIR0.845--0.885300.865
      Band 6, SWIR11.560--1.651301.609
      Band 7, SWIR22.100--2.300302.201
      Band 8, Pan0.500--0.680150.59
      Band 9, Cirrus1.360--1.390301.373
    • Table 3. Statistics characteristics of the SPM concentration derived from the L8/OLI data in the Changjiang River estuary and the Qingcaosha reservoir

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      Table 3. Statistics characteristics of the SPM concentration derived from the L8/OLI data in the Changjiang River estuary and the Qingcaosha reservoir

      WaterSPM concentration and Percentage of effective pixelsMeanMaximumMinimum
      Changjiang riverSPM concentration /( g·m-3)103.711855.481.94
      Percentage of effective pixels for concentration <15 g·m-3 /%1.980.355.46
      Percentage of effective pixels for concentration 15--35 g·m-3 /%4.325.9211.77
      Percentage of effective pixels for concentration 35--100 g·m-3 /%43.154.5381.35
      Percentage of effective pixels for concentration >100 g·m-3 /%50.5589.201.42
      Qingcaosha reservoirSPM concentration /( g·m-3)22.00545.013.82
      Percentage of effective pixels for concentration <15 g·m-3 /%32.6093.77
      Percentage of effective pixels for concentration 15--35 g·m-3 /%56.3661.996.14
      Percentage of effective pixels for concentration 35--100 g·m-3 /%10.4833.190.08
      Percentage of effective pixels for concentration >100 g·m-3 /%0.474.820.01
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    Jingjing Zhu, Jingwei Zhang, Ying Mao, Zhongfeng Qiu. Temporal and Spatial Distribution of Suspended Particles in Qingcaosha Reservoir of the Yangtze River Estuary Based on Landsat-8 OLI[J]. Laser & Optoelectronics Progress, 2021, 58(22): 2201001

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    Paper Information

    Category: Atmospheric Optics and Oceanic Optics

    Received: Jan. 13, 2021

    Accepted: Feb. 4, 2021

    Published Online: Nov. 10, 2021

    The Author Email: Zhongfeng Qiu (zhongfeng.qiu@nuist.edu.cn)

    DOI:10.3788/LOP202158.2201001

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