大气与环境光学学报 ›› 2012, Vol. ›› Issue (3): 203-207.

• 光学遥感与图像处理 • 上一篇    下一篇

基于CALIPSO数据反演云相态的方法研究

梁晓芳1,3 麻金继 2,3   

  1. (1 安徽师范大学物理与电子信息学院, 安徽 芜湖 241000; 
    2 安徽师范大学国土资源与旅游学院, 安徽 芜湖 241003;
    3 安徽自然灾害过程与防控研究省级实验室,安徽 芜湖 241003)
  • 收稿日期:2011-10-10 修回日期:2011-12-28 出版日期:2012-05-28 发布日期:2012-05-24
  • 通讯作者: 梁晓芳 (1986-),女,安徽泗县人,硕士,研究方向为遥感信息处理。 E-mail:liangxingmu325@126.com
  • 作者简介:梁晓芳 (1986-),女,安徽泗县人,硕士,研究方向为遥感信息处理。
  • 基金资助:

    国家自然基金(40701132)、中科院碳专项(XDA05100004)、安徽省自然基金(1208085MD58)资助

Cloud Phase Discrimination Algorithm Research Based on CALIPSO Data

LIANG Xiao-fang1,3 MA Jin-ji2,3   

  1. (1 College of Physics and Electronic Information, Anhui Normal University, Wuhu 241000, China;
    2 College of Territorial Resources and Tourism, Anhui Normal University, Wuhu 241003, China;
    3 Anhui Key Laboratory of Natural Disaster Process and Prevention, Wuhu, Wuhu 241003, China)
  • Received:2011-10-10 Revised:2011-12-28 Published:2012-05-28 Online:2012-05-24

摘要:

依据云粒子对偏振激光的消偏原理,基于星载激光雷达CALIPSO的数据,利用其层积分衰减的后向散射 与层积分的退偏振比 之间的二维阈值关系及其空间相关性提出了一种云相态识别的新算法。应用该算法对2010年3月3日中国区域内的一轨CALIPSO数据进行了云相态的反演实例实验,并对实验反演结果与CALIPSO相态产品进行了对比分析。结果表明该算法具有更高的云相态识别精度。

关键词: 退偏比, 激光雷达, 反演, 云相态

Abstract:

According to cloud particle depolarization theory of polarization lidar, and use of the relationships between layer-integrated attenuated backscatter( ) and layer-integrated depolarization ratio ( ) of a two dimensional threshold and their spatial coherence analysis technique, a cloud phase discrimination algorithm using CALIPSO data was established. The testing retrieval sample of CALIPSO data of China region on March 3, 2010 used for the new algorithm were mainly derived from CALIPSO cloud phase product. The results show the new cloud phase discrimination algorithm based on CALIIPSO data has superior accuracy.

Key words: depolarization, lidar, retrieval, cloud phase

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