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林业资源管理 ›› 2014›› Issue (2): 119-125.doi: 10.13466/j.cnki.lyzygl.2014.02.022

• 科学研究 • 上一篇    下一篇

基于TM影像面向对象的桉树信息提取

牟智慧1,2, 杨广斌1,2   

  1. 1.贵州师范大学 地理与环境科学学院,贵阳 550001;
    2.贵州山地资源与环境遥感重点实验室,贵阳 550001
  • 收稿日期:2014-01-07 修回日期:2014-04-18 出版日期:2014-04-28 发布日期:2020-12-09
  • 通讯作者: 杨广斌(1973-),男,山东聊城人,教授,博士,主要研究方向:地理信息系统的开发与应用。Email:ygbyln@163.com
  • 作者简介:牟智慧(1988-),女,湖北利川人,在读硕士,主要从事遥感与地理信息系统的应用研究工作。Email:mzhwhb@163.com
  • 基金资助:
    贵州省重大专项项目(黔科合重大专项字[2012]6007号);国家自然科学基金(41361091);贵州省优秀青年科技人才培养对象专项资金项目(黔科合人字[2013]39号)

The Extraction of Eucalyptus Information Based on TM Data Using object-oriented Method

MOU Zhihui, YANG Guangbin   

  1. 1. School of Geography and Environment Sciences,Guizhou Normal University,Guiyang 550001,China;
    2. Guizhou Mountain Resources and Environmental Remote Sensing Laboratory,Guiyang 550001,China
  • Received:2014-01-07 Revised:2014-04-18 Online:2014-04-28 Published:2020-12-09

摘要: 以TM影像为数据源,以贵州省罗甸县为研究区,首先利用面向对象方法和植被光谱信息提取常绿植被,进而根据不同植被光谱曲线提取常绿阔叶植被,然后结合桉树生长的海拔、坡度、土壤、土层厚度等环境特性提取桉树信息,结果表明,提取桉树信息准确率达到86.67%。可见,基于面向对象方法,利用植被光谱信息和树种生长环境特性提取单一数据信息具有可行性。通过本文的研究,以期对其他树种信息的提取提供借鉴。

关键词: TM, 罗甸县, 面向对象分类, 桉树

Abstract: With TM image as the data source,Luodian county as the study area,the object-oriented method and the vegetation spectral information were used to extract the evergreen vegetation data and according to the different vegetation spectral curve to extract the evergreen broadleaf vegetation data,and then,to extract Eucalyptus data on the basis of the growth environment characteristic of Eucalyptus,such as DEM,slope,soil,soil thickness,etc.The results show that the accuracy of Eucalyptus data is 86.67%.Using object-oriented method,the vegetation spectral information and the growth environment characteristic of tree species to extract the information of single data is feasible,which has demonstrative value for the extraction of other tree species.

Key words: TM, Luodian county, object-oriented, Eucalyptus

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