A study about credible cloud classification model based on FY-2/C data

Liangming Liu; Xinyi Dong; Zheng Zhou

doi:10.1117/12.815331

29 December 2008 A study about credible cloud classification model based on FY-2/C data

Liangming Liu, Xinyi Dong, Zheng Zhou

Proceedings Volume 7285, International Conference on Earth Observation Data Processing and Analysis (ICEODPA); 72850D (2008) https://doi.org/10.1117/12.815331
Event: International Conference on Earth Observation Data Processing and Analysis, 2008, Wuhan, China

Abstract

Basic clustering algorithms including K-means, fusion c-means and C4.5 decision tree have been applied in cloud detection with FY-2C data. With the limitation that no reliable template is available, supervised classification algorithm is utilized to test the credibility of non-supervised classification algorithms, which contribute to generate a cloud classification model with high credibility. It is proved that cloud classification product distributed by National Satellite Meteorological Center enjoys a high credibility and stability. It is also demonstrated that FY-2C data is eligible to classify cloud into 4 types as cumulonimbus, cirrostratus, dense-cirrus and low and middle cloud.

Citation Download Citation

Liangming Liu, Xinyi Dong, and Zheng Zhou "A study about credible cloud classification model based on FY-2/C data", Proc. SPIE 7285, International Conference on Earth Observation Data Processing and Analysis (ICEODPA), 72850D (29 December 2008); https://doi.org/10.1117/12.815331

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