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Volume 9 Issue 4

Oct.  1992

Article Contents

Automatic Classification and Compression of GMS Cloud Imagery in Heavy Rainfall Monitoring Application


doi: 10.1007/BF02677078

  • The Bayes Decision method (BD) has been implemented on GMS Stretched VISSR (S.VISSR) images. Several objects are identified. These are earth’s surface, stratiform, convective and cirrus clouds. Overlaid 6-hour surface rainfall observations show that the rain area on the ground matches with precipitable cloud area identified by BD method. Finally the data of classified image are compressed to about one-eighth amount by use of Line-Run-Cod-ing technique. It is helpful for data archive and remote transmission.
  • [1] Yu Fan, Liu Changsheng, Chen Weimin, 1997: Man-Computer Interactive Method on Cloud Classification Based on Bispectral Satellite Imagery, ADVANCES IN ATMOSPHERIC SCIENCES, 14, 389-398.  doi: 10.1007/s00376-997-0058-1
    [2] HOU Tuanjie, Fanyou KONG, CHEN Xunlai, LEI Hengchi, HU Zhaoxia, 2015: Evaluation of Radar and Automatic Weather Station Data Assimilation for a Heavy Rainfall Event in Southern China, ADVANCES IN ATMOSPHERIC SCIENCES, 32, 967-978.  doi: 10.1007/s00376-014-4155-7
    [3] Li Jun, Zhou Fengxian, 1990: Computer Identification of Multispectral Satellite Cloud Imagery, ADVANCES IN ATMOSPHERIC SCIENCES, 7, 366-375.  doi: 10.1007/BF03179768
    [4] Yang Hongwei, Wang Bin, Ji Zhongzhen, 2002: Application of the Artificial Compression Method to the Simulation of Two-Dimensional Frontogenesis, ADVANCES IN ATMOSPHERIC SCIENCES, 19, 863-869.  doi: 10.1007/s00376-002-0051-7
    [5] Tian Shengchun, 1991: Effect of Merging of the Convective Cloud Clusters on Occurrence of Heavy Rainfall, ADVANCES IN ATMOSPHERIC SCIENCES, 8, 499-504.  doi: 10.1007/BF02919272
    [6] Huangjian WU, Xiao TANG, Zifa WANG, Lin WU, Miaomiao LU, Lianfang WEI, Jiang ZHU, 2018: Probabilistic Automatic Outlier Detection for Surface Air Quality Measurements from the China National Environmental Monitoring Network, ADVANCES IN ATMOSPHERIC SCIENCES, 35, 1522-1532.  doi: 10.1007/s00376-018-8067-9
    [7] SHOU Yixuan, LI Shenshen, SHOU Shaowen, ZHAO Zhongming, 2006: Application of a Cloud-Texture Analysis Scheme to the Cloud Cluster Structure Recognition and Rainfall Estimation in a Mesoscale Rainstorm Process, ADVANCES IN ATMOSPHERIC SCIENCES, 23, 767-774.  doi: 10.1007/s00376-006-0767-x
    [8] ZHAO Deming, SU Bingkai, ZHAO Ming, 2006: Soil Moisture Retrieval from Satellite Images and Its Application to Heavy Rainfall Simulation in Eastern China, ADVANCES IN ATMOSPHERIC SCIENCES, 23, 299-316.  doi: 10.1007/s00376-006-0299-4
    [9] Zhenhui WANG, Xinxiu SUI, Qing ZHANG, Lu YANG, Hang ZHAO, Min TANG, Yizhe ZHAN, Zhiguo ZHANG, 2017: Derivation of Cloud-Free-Region Atmospheric Motion Vectors from FY-2E Thermal Infrared Imagery, ADVANCES IN ATMOSPHERIC SCIENCES, 34, 272-282.  doi: 10.1007/s00376-016-6098-7
    [10] Ling YANG, Yun WANG, Zhongke WANG, Qian YANG, Xingang FAN, Fa TAO, Xiaoqiong ZHEN, Zhipeng YANG, 2020: Automatic Identification of Clear-Air Echoes Based on Millimeter-wave Cloud Radar Measurements, ADVANCES IN ATMOSPHERIC SCIENCES, 37, 912-924.  doi: 10.1007/s00376-020-9270-z
    [11] Juan HUO, Yongheng BI, Daren Lü, Shu DUAN, 2019: Cloud Classification and Distribution of Cloud Types in Beijing Using Ka-Band Radar Data, ADVANCES IN ATMOSPHERIC SCIENCES, , 793-803.  doi: 10.1007/s00376-019-8272-1
    [12] Chong WU, Liping LIU, Ming WEI, Baozhu XI, Minghui YU, 2018: Statistics-based Optimization of the Polarimetric Radar Hydrometeor Classification Algorithm and Its Application for a Squall Line in South China, ADVANCES IN ATMOSPHERIC SCIENCES, 35, 296-316.  doi: 10.1007/s00376-017-6241-0
    [13] ZHANG Chengwei, YU Fan, WANG Chenxi, YANG Jianyu, 2011: Three-dimensional Extension of the Unit-Feature Spatial Classification Method for Cloud Type, ADVANCES IN ATMOSPHERIC SCIENCES, 28, 601-611.  doi: 10.1007/s00376-010-9056-9
    [14] Feng ZHANG, Xin-Zhong LIANG, ZENG Qingcun, Yu GU, and Shenjian SU, 2013: Cloud-Aerosol-Radiation (CAR) ensemble monitoring system: Overall accuracy and efficiency, ADVANCES IN ATMOSPHERIC SCIENCES, 30, 955-973.  doi: 10.1007/s00376-012-2171-z
    [15] Xichuan Liu, Kun Zhao, Mingzhong ZOU, Kang Pu, Kun Song, 2023: Rainfall Monitoring Using a Microwave Links Network: A Long-term Experiment in East China, ADVANCES IN ATMOSPHERIC SCIENCES.  doi: 10.1007/s00376-023-2104-z
    [16] Iman ROUSTA, Mehdi DOOSTKAMIAN, Esmaeil HAGHIGHI, Hamid Reza GHAFARIAN MALAMIRI, Parvane YARAHMADI, 2017: Analysis of Spatial Autocorrelation Patterns of Heavy and Super-Heavy Rainfall in Iran, ADVANCES IN ATMOSPHERIC SCIENCES, 34, 1069-1081.  doi: 10.1007/s00376-017-6227-y
    [17] Na LI, Lingkun RAN, Linna ZHANG, Shouting GAO, 2017: Potential Deformation and Its Application to the Diagnosis of Heavy Precipitation in Mesoscale Convective Systems, ADVANCES IN ATMOSPHERIC SCIENCES, 34, 894-908.  doi: 10.1007/s00376-017-6282-4
    [18] LOU Xiaofeng, HU Zhijin, SHI Yueqin, WANG Pengyun, ZHOU Xiuji, 2003: Numerical Simulations of a Heavy Rainfall Case in South China, ADVANCES IN ATMOSPHERIC SCIENCES, 20, 128-138.  doi: 10.1007/BF03342057
    [19] TANG Yanbing, GAN Jingjing, ZHAO Lu, GAO Kun, 2006: On the Climatology of Persistent Heavy Rainfall Events in China, ADVANCES IN ATMOSPHERIC SCIENCES, 23, 678-692.  doi: 10.1007/s00376-006-0678-x
    [20] LIU Jianyong, TAN Zhe-Min, 2009: Mesoscale Predictability of Mei-yu Heavy Rainfall, ADVANCES IN ATMOSPHERIC SCIENCES, 26, 438-450.  doi: 10.1007/s00376-009-0438-9

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Manuscript History

Manuscript received: 10 October 1992
Manuscript revised: 10 October 1992
通讯作者: 陈斌, bchen63@163.com
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Automatic Classification and Compression of GMS Cloud Imagery in Heavy Rainfall Monitoring Application

  • 1. Institute of Atmospheric Physics, Academia Sinica, Beijing 100029,Institute of Atmospheric Physics, Academia Sinica, Beijing 100029,Institute of Atmospheric Physics, Academia Sinica, Beijing 100029

Abstract: The Bayes Decision method (BD) has been implemented on GMS Stretched VISSR (S.VISSR) images. Several objects are identified. These are earth’s surface, stratiform, convective and cirrus clouds. Overlaid 6-hour surface rainfall observations show that the rain area on the ground matches with precipitable cloud area identified by BD method. Finally the data of classified image are compressed to about one-eighth amount by use of Line-Run-Cod-ing technique. It is helpful for data archive and remote transmission.

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