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Validation and Comparison Among Different VIIRS Cloud Mask Products

  • Yulei ChiEmail author
  • Tianlong Zhang
Conference paper
  • 44 Downloads
Part of the Communications in Computer and Information Science book series (CCIS, volume 1228)

Abstract

Universal Dynamic Threshold Cloud Detection Algorithm (UDTCDA) is a recently proposed cloud detection algorithm for remote sensing image with the support of a prior land surface reflectance database. In the visible and near infrared bands, the overall accuracy of cloud detection is still low due to the similar spectral characteristics of some bright surfaces and clouds. Aimed at this problem, this paper proposes an improved VIIRS dynamic threshold cloud detection algorithm (I-DTCDA) on the basis of the characteristics of multi-channels, wide coverage and short revisit period for visible infrared Imaging Radiometer (VIIRS) satellite. The distribution characteristics of thin clouds and other surface features from visible to thermal infrared bands under different spatial and temporal conditions were analyzed, and the detection model of thin clouds and ice/snow was improved. VCM cloud products which used the reflectance and brightness temperature of 16 bands from visible to thermal infrared channels were adopted. The pixel cloud phase logic was established to improve the accuracy of cloud detection. The accuracy of three kinds of cloud detection algorithms was evaluated by visual interpretation. The results illustrated that the I-DTCDA algorithm can identify the clouds over different surface features in remote sensing images with higher precision. What’s more, the thin cloud detection results and overall accuracy of I-DTCDA algorithm are higher than those of UDTCDA and VCM algorithms.

Keywords

Cloud detection UDTCDA VCM I-DTCDA Evaluation 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  1. 1.College GeomaticsShandong University of Science and TechnologyQingdaoChina
  2. 2.University of the Chinese Academy of SciencesBeijingChina

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