【作者】 曾亚梅；

【导师】 刘剑秋；

【作者基本信息】 福建师范大学 ， 植物学， 2010， 硕士

【摘要】 本文选取海峡西岸经济区高速公路网规划项目泰宁至建宁段作为研究对象,选择拟建高速公路中心线两侧10km和300m范围作为研究区域,以2006年12月和2007年5月的Landsat-5 TM两个时相覆盖泰宁建宁两县全部区域的遥感影像图为基础数据源,通过野外现场考察勘踏,结合专业遥感软件,把GPS、RS和GIS三者结合起来,通过监督分类、非监督分类、叠加分类、目视解译四种分类方法,对评价区的植被类型进行了分类与评价,并统计了各植被类型面积,对四种分类结果进行分析。结果表明：四种分类方法各有优缺点,其中叠加分类与目视解译的结果最相近,效果最好,具有操作简单,精度较高等优点。在研究区范围内共调查样方29个,后期补充验证采点10个,提取遥感影像图的植被指数和DN值进行分析并对样地数据进行处理,结合植被类型解译的结果,建立研究区植被生物量线性回归模型,通过克里金插值使最终的生物量估算结果更准确,得出高速公路研究区植被总生物量为3.4802×107t/hm2；平均生物量为228.7815t/hm2,最大生物量为300.4502t/hm2；公路建成后,永久占地484.75 hm2,工程临时用地176.6hm2,工程总共占地面积为661.35hm2,将造成评价区内生物量损失约151304.6450t,占总生物量的14.3742%。结果表明：工程建设对评价范围植被具有一定的影响,可以通过后期植被恢复与重建,在一定程度上减缓公路占地对评价区植被产生的影响,使整个评价区内的植被与生物量损失处于可承受阈内。更多还原

【Abstract】 To accelerate the Development of the the construction of west-strait economic zone, the construction and improvement of the traffic and transport networks in Fujian province has become the important link of accelerating economic development,especially the construction of the expressway. By taking the expressway from Taining to Jianning which is one part of the Fujian expressway net as the research object,by taking the remote sensing imagines which have two phases including December 2006 and May 2007 cover all regions of two counties Taining and Jianning as basic data source, We do the vegetation interpretation and evaluation on the expressway study area from Taining to Jianning in Fujian Province using RS and GIS technology. By comparing the four methods:Unsupervised classification, Supervised classification,Overlay classification, Visual Interpretation, We not only classify and evaluate the appraisement district vegetation types, but also calculate the areas and analysis the four results.The results showed that:four classification methods each has merits and demerits, in which Overlay classification has very similar results with the Visual Interpretation’s. It is the most efficient and has the merits such as simple operation, convenient use,high precision and high reliability etc.A total of 29 quadrats were set up,there were also 10 supplementary verify sampling points. After Extracting and analysiting the vegetation index and DN values of the remote sensing imagines, We processed datas of the sample plots,and established the linear regression model of vegetation biomass of the researching area combined with the result of the vegetation type interpretation. Using Kriging Regression,the estimation results is much more accurate, the results showed that:the total vegetation biomass in the expressway researching area is 3.4802 X 107t/hm2; the mean biomass is 228.7815t/hm2, the maximum biomass is 300.4502t/hm2; after the construction, the area of permanent land occupation is 484.75 hm2, the area of temporary land occupation is 176.6hm2, the gross floor area of the project is 661.35hm2 which will cause losses of biomass about 151304.6450t in the appraisement district,which accounts for 14.3742 percent of the total biomass. The result shows that:the construction of the project have relatively little influence to the vegetation in the evaluating scope,which is in the bearing threshold of the natural ecosystem.what is more,by doing the late vegetation restoration, the influence of the gross floor area of the expressway project to the vegetation will be effectively alleviated.更多还原