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基于SPOT5影像的山东南四湖地被覆盖分类研究
引用本文:李玉凤,王波,李小明. 基于SPOT5影像的山东南四湖地被覆盖分类研究[J]. 遥感技术与应用, 2008, 23(1): 62-66. DOI: 10.11873/j.issn.1004-0323.2008.1.62
作者姓名:李玉凤  王波  李小明
作者单位:(山东大学环境科学与工程学院,山东济南 250100)
摘    要:以南四湖2006年6月中旬的两景SPOT5多光谱卫星影像为数据源,借助ERDAS Imagine和ArcView软件,运用非监督分类与人工目视解译的方法对影像进行分类处理。运用实地调查记录检验分类结果,符合率达到83.3%。依据分类结果绘制了南四湖地被覆盖图,并且计算了各种地被类型的面积。南四湖大堤内总面积为1206.9 km2,其中开阔水域占总面积的45.54%,湿地植被面积占21.06%,围网养殖区面积占15.6%,无水区的村庄、农田和林地占17.8%。南四湖地被覆盖格局主要受人为因素影响,为保护南四湖生态环境,必须禁止湖内土地围垦,控制围网养殖区,逐步恢复湿地植被。

关 键 词:南四湖  地被覆盖  SPOT5遥感影像  分类解译  
文章编号:1004-0323(2008)01-0062-05
收稿时间:2007-08-21
修稿时间:2008-01-17

The Land Cover Classification and Characteristics of Nansihu Lake Based on SPOT5 Remote Sensing Image
LI Yu-feng,WANG Bo,LI Xiao-ming. The Land Cover Classification and Characteristics of Nansihu Lake Based on SPOT5 Remote Sensing Image[J]. Remote Sensing Technology and Application, 2008, 23(1): 62-66. DOI: 10.11873/j.issn.1004-0323.2008.1.62
Authors:LI Yu-feng  WANG Bo  LI Xiao-ming
Affiliation:(School of Environmental Science and Engineering,Shandong University,Jinan250100,China)
Abstract:Two SPOT5 imageries of Nansihu Lake (middle of June,2006) were interpreted to classify the land cover,using ERDAS Imagine and ArcView.As the fishpond and the open water-body were difficult to be distinguished,unsupervised classification and manual interpreting were used .The accuracy of interpretation classification was 83.3% after checking.The land cover classification types were mapped and the area of each type was calculated.The overall area of Nansihu Lake is 1206.9 km2,only 45.54% belongs to open water.Other lands are covered with wetland vegetation,fishpond,farmland and forests,with proportions of 21.06%,15.60%,11.23% and 5.66%,respectively.The land cover characteristics were also analyzed based on the map.To protect the ecological system of the lake,making land by separating the lake should be prohibited and the aquatic agriculture should be regulated through government regulations.
Keywords:Nansihu Lake   Land cover   SPOT5 remote sensing image   Classification interpretation
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