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不同大气校正方法对森林叶面积指数遥感估算影响的比较
  • 摘要

    利用TM原始图像以及经过6S模型和基于影像自身的Gilabert模型大气校正后的地面绝对反射率图像,分别计算了褒河流域阔叶林和针阔混交林2种林型的5类光谱植被指数(SR、NDVI、MNDVI、ARVI和RSR),并建立各林型森林叶面积指数与同时相的各个植被指数的相关关系.结果表明,2种大气校正模型均显著提高了各植被指数与森林叶面积指数的相关关系,除了对森林叶面积指数与植被指数SR和NDVI的相关关系影响不显著外,对森林叶面积指数与植被指数MNDVI、ARVI和RSR相关关系的影响均非常显著.说明不同大气校正模型对叶面积指数的遥感估算结果有较大影响.因此,在利用遥感数据进行定量分析、信息提取和生态遥感应用时,不仅要进行大气校正,而且还要慎重选择大气校正模型和植被指数.

  • 作者

    陈新芳  陈镜明  安树青  刘玉虹  方秀琴  王书明  CHEN Xinfang  CHEN Jingming  AN Shuqing  LIU Yuhong  FANG Xiuqin  WANG Shuming 

  • 作者单位

    南京大学生命科学学院,南京,210093/多伦多大学地理系,安大略 M5S 3G3/河海大学水资源环境学院,南京,210098/南京大学地学院,南京,210093

  • 刊期

    2006年7期 ISTIC PKU

  • 关键词

    大气校正  6S辐射传输模型  Gilabert模型  叶面积指数 

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