• Acta Optica Sinica
  • Vol. 39, Issue 5, 0528005 (2019)
Yulei Chi1, Lin Sun1、*, and Jing Wei2
Author Affiliations
  • 1 College of Geomatics, Shandong University of Science and Technology, Qingdao, Shandong 266590, China
  • 2 College of Global Change and Earth System Science, Beijing Normal University, Beijing 100875, China
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    DOI: 10.3788/AOS201939.0528005 Cite this Article Set citation alerts
    Yulei Chi, Lin Sun, Jing Wei. Improved Dynamic Threshold Cloud Detection Algorithm for Suomi-NPP Visible Infrared Imaging Radiometer[J]. Acta Optica Sinica, 2019, 39(5): 0528005 Copy Citation Text show less
    Spectral response curves of VIIRS and MODIS sensors
    Fig. 1. Spectral response curves of VIIRS and MODIS sensors
    Land surface reflectance of VIIRS and MODIS sensors in different channels. (a) Blue band; (b) green band; (c) red band; (d) near infrared band
    Fig. 2. Land surface reflectance of VIIRS and MODIS sensors in different channels. (a) Blue band; (b) green band; (c) red band; (d) near infrared band
    Distributions of land surface reflectance and brightness temperature for different surface features. (a) Reflectance and brightness temperature; (b) brightness temperature difference
    Fig. 3. Distributions of land surface reflectance and brightness temperature for different surface features. (a) Reflectance and brightness temperature; (b) brightness temperature difference
    Three-dimensional distributions of brightness temperature for different surface features
    Fig. 4. Three-dimensional distributions of brightness temperature for different surface features
    Flow chart of I-DTCDA algorithm for VIIRS data
    Fig. 5. Flow chart of I-DTCDA algorithm for VIIRS data
    Comparison of cloud detection results between UDTCDA and I-DTCDA algorithms for different surface features. (a) Desert, 2014-09-24; (b) desert ,2014-08-12; (c) bare land, 2014-07-09; (d) bare land,2014-06-23; (e) water, 2014-03-20; (f) water,2014-04-23; (g) snow,2014-06-06; (h) snow, 2014-06-20
    Fig. 6. Comparison of cloud detection results between UDTCDA and I-DTCDA algorithms for different surface features. (a) Desert, 2014-09-24; (b) desert ,2014-08-12; (c) bare land, 2014-07-09; (d) bare land,2014-06-23; (e) water, 2014-03-20; (f) water,2014-04-23; (g) snow,2014-06-06; (h) snow, 2014-06-20
    Comparisonof cloud detection results between I-DTCDA and VCM algorithms for different surface features. (a) Desert, 2014-06-04; (b) desert, 2014-07-15; (c) bare land, 2014-05-17; (d) bare land, 2014-07-29; (e) water, 2014-10-23; (f) water, 2014-11-13; (g) snow, 2014-02-06; (h) snow, 2014-11-18
    Fig. 7. Comparisonof cloud detection results between I-DTCDA and VCM algorithms for different surface features. (a) Desert, 2014-06-04; (b) desert, 2014-07-15; (c) bare land, 2014-05-17; (d) bare land, 2014-07-29; (e) water, 2014-10-23; (f) water, 2014-11-13; (g) snow, 2014-02-06; (h) snow, 2014-11-18
    Comparison in overall accuracy between detected and true cloud concentrations for different cloud detection algorithms
    Fig. 8. Comparison in overall accuracy between detected and true cloud concentrations for different cloud detection algorithms
    BandChannelWavelength range /μmCenter wavelength /μm
    M3Blue0.478-0.4980.488
    M4Green0.545-0.5650.555
    M5Red0.662-0.6820.672
    M7Near infrared0.846-0.8850.865
    M10Short-wave infrared1.580-1.6401.610
    M15Thermal infrared10.263-11.26310.763
    M16Thermal infrared11.538-12.48812.013
    Table 1. Parameters of cloud-detection bands for VIIRS
    Surface typeAlgorithmHOA /%HCE /%HOE /%HKappa
    UDTCDA84.5612.9136.950.714
    DesertVCM86.3411.4115.610.725
    I-DTCDA91.896.9211.140.805
    UDTCDA90.961.7314.070.753
    Bare landVCM87.078.514.070.739
    I-DTCDA93.572.979.850.809
    UDTCDA88.674.4115.270.756
    WaterVCM90.825.3512.530.768
    I-DTCDA95.581.844.770.868
    UDTCDA86.1715.236.890.721
    SnowVCM82.5429.876.360.703
    I-DTCDA91.8817.334.330.801
    UDTCDA87.728.5718.30.736
    MeanVCM86.6913.7812.140.734
    I-DTCDA93.237.277.520.821
    Table 2. Evaluation results of thin cloud detection accuracy
    Yulei Chi, Lin Sun, Jing Wei. Improved Dynamic Threshold Cloud Detection Algorithm for Suomi-NPP Visible Infrared Imaging Radiometer[J]. Acta Optica Sinica, 2019, 39(5): 0528005
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