Author Affiliations
1 College of Geomatics, Shandong University of Science and Technology, Qingdao, Shandong 266590, China2 College of Global Change and Earth System Science, Beijing Normal University, Beijing 100875, Chinashow less
Fig. 1. Spectral response curves of VIIRS and MODIS sensors
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
Fig. 3. Distributions of land surface reflectance and brightness temperature for different surface features. (a) Reflectance and brightness temperature; (b) brightness temperature difference
Fig. 4. Three-dimensional distributions of brightness temperature for different surface features
Fig. 5. Flow chart of I-DTCDA algorithm for VIIRS data
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
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
Fig. 8. Comparison in overall accuracy between detected and true cloud concentrations for different cloud detection algorithms
Band | Channel | Wavelength range /μm | Center wavelength /μm |
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M3 | Blue | 0.478-0.498 | 0.488 | M4 | Green | 0.545-0.565 | 0.555 | M5 | Red | 0.662-0.682 | 0.672 | M7 | Near infrared | 0.846-0.885 | 0.865 | M10 | Short-wave infrared | 1.580-1.640 | 1.610 | M15 | Thermal infrared | 10.263-11.263 | 10.763 | M16 | Thermal infrared | 11.538-12.488 | 12.013 |
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Table 1. Parameters of cloud-detection bands for VIIRS
Surface type | Algorithm | HOA /% | HCE /% | HOE /% | HKappa |
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| UDTCDA | 84.56 | 12.91 | 36.95 | 0.714 | Desert | VCM | 86.34 | 11.41 | 15.61 | 0.725 | | I-DTCDA | 91.89 | 6.92 | 11.14 | 0.805 | | UDTCDA | 90.96 | 1.73 | 14.07 | 0.753 | Bare land | VCM | 87.07 | 8.5 | 14.07 | 0.739 | | I-DTCDA | 93.57 | 2.97 | 9.85 | 0.809 | | UDTCDA | 88.67 | 4.41 | 15.27 | 0.756 | Water | VCM | 90.82 | 5.35 | 12.53 | 0.768 | | I-DTCDA | 95.58 | 1.84 | 4.77 | 0.868 | | UDTCDA | 86.17 | 15.23 | 6.89 | 0.721 | Snow | VCM | 82.54 | 29.87 | 6.36 | 0.703 | | I-DTCDA | 91.88 | 17.33 | 4.33 | 0.801 | | UDTCDA | 87.72 | 8.57 | 18.3 | 0.736 | Mean | VCM | 86.69 | 13.78 | 12.14 | 0.734 | | I-DTCDA | 93.23 | 7.27 | 7.52 | 0.821 |
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Table 2. Evaluation results of thin cloud detection accuracy