基于CIWI模型的洪湖市水体识别及动态监测
Water Body Recognizing and Dynamic Monitoring of Honghu County Based on CIWI Model
投稿时间:2011-09-02  修订日期:2011-12-02
DOI:
中文关键词:水体  信息提取  TM数据  水面面积  动态监测  洪湖市  
英文关键词:water body  information extraction  TM data  water area  dynamic monitoring  Honghu County
基金项目: 国家林业局林业公益项目专题:林分结构与生长模拟技术研究(201104028);国家自然科学基金资助项目:森林树种波谱特性及生化成分相关性研究(30871962);青年科学基金项目:基于遥感影像的森林资源智能区划关键技术研究(31100412)
作者单位E-mail
严恩萍 中南林业科技大学林业遥感信息工程研究中心 yep1209@163.com 
林辉 中南林业科技大学林业遥感信息工程研究中心  
莫登奎 中南林业科技大学林业遥感信息工程研究中心  
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中文摘要:
      以湖北省洪湖市为例,监测其水面面积的变化,以实现当地水资源的优化配置与管理。在分析研究区典型地物光谱特征的基础上,分别应用单波段阈值法、多波段谱间关系法和4种水体指数法对研究区水体进行识别提取,结果表明混合水体指数法(CIWI)区分度最高,提取效果最好,可以有效减弱城镇等噪音信息的干扰。并基于该方法利用TM影像提取了洪湖市近30年的水面积动态变化,2000年时水面面积最小(302.314km2),近十年来水面面积逐渐回升,2010年达387.548km2。
英文摘要:
      With Honghu County in Hubei Province as an example,monitoring the change of water area was helpful to optimal allocation of local water resources and management. According to the spectral characteristics of typical geographical objects in the research area,identification and extraction of water body were firstly conducted,by employing six methods,including single band classification,multiple band classification and four water body indexes. It was proved that the discrimination index of CIWI(Combined Index of NDVI and NIR for Water Body Identification) was the highest,by which the interference of urban noise information could be reduced effectively. Based on CIWI,the dynamic change of Honghu County water area was monitored by multi-temporal Landsat TM images from 1984 to 2010,and results demonstrated that Honghu County water area was the smallest(302. 314 km2)in 2000,and since then the area extended year by year,reaching to 387. 548 km2 until 2010.
严恩萍,林辉,莫登奎.2011.基于CIWI模型的洪湖市水体识别及动态监测[J].水生态学杂志,32(6):14-19.
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