• 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
Volume 15 Issue 2
. 
Article Contents
Turn off MathJax
Article Navigation >  Forest Research  > 2002 >  15(2): 203-206

Citation:
shu

Study on Dynamic Change Detection of Tropical Forest Using Remote Sensing Data in Hainan Island

  • 1.

    Research Inst itute of Forest Resource Information Techniques, CAF, Beijing 100091, China

  • 2.

    Bawangl ing Forest Bureau, Hainan Province, Changjiang 572700, Hainan, China

  • Received Date: 2001-02-15
  • Remote sensing was used to monitor the vegetation dynamics of Bawangling forest area in Hainan Island.Three multitemporal TM data of same season in different years were processed using various techniques including spectral analysis,signature selection,and supervised classification to analyze the vegetation change.Bawangling vegetation change detection is an example which provides a feasible method for monitoring the tropical forest in Hainan Island.
  • 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
Get Citation
PDF
XML

Article views(2977) PDF downloads(1383) Cited by()

Proportional views

Study on Dynamic Change Detection of Tropical Forest Using Remote Sensing Data in Hainan Island

  • 1. Research Inst itute of Forest Resource Information Techniques, CAF, Beijing 100091, China
  • 2. Bawangl ing Forest Bureau, Hainan Province, Changjiang 572700, Hainan, China
  • Received Date: 2001-02-15

Abstract: Remote sensing was used to monitor the vegetation dynamics of Bawangling forest area in Hainan Island.Three multitemporal TM data of same season in different years were processed using various techniques including spectral analysis,signature selection,and supervised classification to analyze the vegetation change.Bawangling vegetation change detection is an example which provides a feasible method for monitoring the tropical forest in Hainan Island.

    HTML

Catalog

    京ICP备09064894号-3

    Copyright：《Forest Research》Editorial Office

    Address：Chinese Academy of Forestry after Beijing Wanshou MountainTel：010-62889680；62889702Email：lykxyj@caf.ac.cn

    Supported by: Beijing Renhe Information Technology Co. Ltd  support: info@rhhz.net

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return