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漳州市沿海防护林变化的遥感动态监测
引用本文:朱晓铃,汪小钦,陈芸芝.漳州市沿海防护林变化的遥感动态监测[J].遥感技术与应用,2005,20(2):243-246.
作者姓名:朱晓铃  汪小钦  陈芸芝
作者单位:(福州大学省空间信息工程研究中心, 福建福州 350002)
基金项目:国家863计划(2002AA134076)资助。
摘    要:沿海防护林是生态公益林建设的一部分, 是生态环境建设的重要内容。漳州市地处福建沿海,拥有682 km 的海岸线, 因而沿海防护林的建设直接关系到其生态环境和经济的发展。应用遥感技术, 以TM 影像为主要数据源, 分别提取了漳州市1998 年和2000~2001 年的沿海防护林信息, 对提取结果进行比较分析。动态监测结果表明2000~2001 年沿海防护林面积比1998 年有了一定的减少。并对2000~2001 年的沿海防护林作进一步的树种分类分析。从提取结果中可知漳州沿海防护林主要由7 类组成, 以木麻黄为主, 其它依次是未成林造林地、湿地松、相思树、马尾松、红树林、黑松。

关 键 词:遥感  沿海防护林  漳州市  动态监测  
文章编号:1004-03243(2005)02-0243-04
收稿时间:2003-09-27

Dynamic Monitoring of the Littoral Shelter Forest Changes in Zhangzhou of SE China Using Remote Sensing Technology
ZHU Xiao-Ling,WANG Xiao-qin,CHEN Yun-zhi.Dynamic Monitoring of the Littoral Shelter Forest Changes in Zhangzhou of SE China Using Remote Sensing Technology[J].Remote Sensing Technology and Application,2005,20(2):243-246.
Authors:ZHU Xiao-Ling  WANG Xiao-qin  CHEN Yun-zhi
Affiliation:(Spacil Information Research Center, Fuzhou University , Fuzhou 350002, China)
Abstract:Littoral shelter forest is very important for the ecological environment protection. Zhangzhou is coastal of Fujian province, which has a coastal line of 682 km. Therefore the construction of littoral shelter forest is very important for its ecological environment and the development of economy. TM images were used the most in environment application today. The article used remote sensing technology and Landsat TM images to distill littoral shelter forest information in 1998 and 2000 and analysed the results. Supervised classification and texture information were also applied in this paper. The final results indicated that littoral shelter forest is good as a whole but it has been some reduced during the study years. The local government should take some measures to strengthen the construction of the littoral shelter forest. Thus the littoral shelter forest can make full use of ecological, economic and social advantages. At the same time, the thesis classified the tree species and the result revealed that the littoral shelter forest of zhangzhou is mainly composed of seven species: Casuarina equisetifolia, Pinus elliottii, Acacia confusn, Pinus massoniana, mangrove,Pinu sthunbergii and nonage reproducing area. It is obvious that using multitemporal TM images to monitor littoral shelter forest is more quickly and efficiently than conventional methods.
Keywords:Remote sensing  Littoral shelter forest  Zhangzhou  Dynamic monitor
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