• 中国中文核心期刊
  • 中国科学引文数据库(CSCD)核心库来源期刊
  • 中国科技论文统计源期刊(CJCR)
  • 第二届国家期刊奖提名奖

Citation:

Preliminary Research on the Application of ERS 1 SAR in Forest

  • Received Date: 1994-07-21
  • The data sets used for this study were obtained over the Yantai region in Shandong Province by ERS-1 SAR and TM during the period of 1992.Those remote sensing data were geometrically corrected and digitally registered.The relationship between ERS-1 SAR,TM data and forest parameters was analysed by using the method of canonical correlation analysis.The results showed that there was a close correlation between C-bandb of ERS-1 SAR data and crown thickness and average tree height,which indicated that the influence of various forest parameters on ERS-1 SAR image was bigger than that on TM image.So there is a great potential of applying ERS-1 SAR data for estimating forest parameters,even forest volume.
  • 加载中
  • 加载中
通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

  1. 本站搜索
  2. 百度学术搜索
  3. 万方数据库搜索
  4. CNKI搜索

Article views(2450) PDF downloads(735) Cited by()

Proportional views

Preliminary Research on the Application of ERS 1 SAR in Forest

  • 1. The Research Institute of Forest Resource Information Techniques, CAF Beijing 100091

Abstract: The data sets used for this study were obtained over the Yantai region in Shandong Province by ERS-1 SAR and TM during the period of 1992.Those remote sensing data were geometrically corrected and digitally registered.The relationship between ERS-1 SAR,TM data and forest parameters was analysed by using the method of canonical correlation analysis.The results showed that there was a close correlation between C-bandb of ERS-1 SAR data and crown thickness and average tree height,which indicated that the influence of various forest parameters on ERS-1 SAR image was bigger than that on TM image.So there is a great potential of applying ERS-1 SAR data for estimating forest parameters,even forest volume.

Catalog

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return