基于遥感影像的南昌市土地动态变化及发展趋势分析

发布时间：2018-01-04 22:24

本文关键词：基于遥感影像的南昌市土地动态变化及发展趋势分析　出处：《东华理工大学》2017年硕士论文　论文类型：学位论文

【摘要】：土地资源作为地球上生物活动的重要载体之一,也是人类发展不可缺少的自然资源。随着人类社会的迅猛发展,土地类型也随之发生了复杂的变化。在当前社会所倡导的资源节约型战略中,土地资源的使用及变化状况受到了人们越来越多的重视。土地利用/覆盖变化是目前地理学中研究生态环境变化及城市化进程的重要领域之一,也是土地资源监测的一项重要内容。对于研究区域内土地合理的开发利用,涉及到方方面面,如区域环境资源的有效监测及利用、社会经济的发展、粮食安全,城市规划发展等问题。如今,遥感技术已经在地理国情普查、土地资源管理等领域得到了广泛的运用,根据收集到的研究区各类土地面积的变化数据,绘制出土地利用类型图,再通过多期图表的对比,直观地反映出各地类的变化情况。本文选择南昌市作为研究区,以2007年至2016年10期遥感影像数据作为数据源,通过ENVI软件平台进行数据处理,得到研究区十个时相的土地分类数据,制作了十期土地利用现状专题图,并基于已有的十期分类数据,利用土地变化转移矩阵、土地动态测算模型,直观地展示出了南昌市2007年至2016年间土地的变化特征。再通过Fragstats软件提取出各地类中的景观指数,定量的描述景观空间格局特征及变化。然后通过不同的预测模型对分类后的数据进行处理及预测,得到南昌市未来三年的土地发展趋势。最后通过Matlab及SPSS软件平台对收集的统计数据进行拟合及主成份分析,对影响各类土地变化的驱动因子进行分析,揭示出驱动因子的影响,进而对土地变化所造成的环境影响进行分析,为制定相应的土地规划政策提供理论依据。
[Abstract]:Land resources as one of the important carriers of biological activities on the earth is also an indispensable natural resource for human development. With the rapid development of human society. Land types have also undergone complex changes in the current society advocated in the resource-saving strategy. More and more attention has been paid to the use and change of land resources. Land use / cover change is one of the most important fields in geography to study ecological environment change and urbanization process. It is also an important content of land resources monitoring. For the study of rational development and utilization of land in the region, it involves all aspects, such as the effective monitoring and utilization of regional environmental resources, the development of social economy and food security. Nowadays, remote sensing technology has been widely used in the field of geographical survey, land resource management and other fields, according to the collected data of various land area changes in the study area. Draw the land use type map, and then through the comparison of multi-period charts, intuitively reflect the changes of local classes. This paper chooses Nanchang City as the research area. The data of 10 issues of remote sensing image from 2007 to 2016 were used as data sources, and the land classification data of ten time phases in the study area were obtained by ENVI software platform. Ten thematic maps of land use status are made, and based on the existing ten period classification data, land change transfer matrix and land dynamic measurement model are used. The change characteristics of land in Nanchang between 2007 and 2016 were displayed intuitively. Then the landscape index of various classes was extracted by Fragstats software. Quantitative description of landscape spatial pattern characteristics and changes. Then through different prediction models to deal with and predict the classified data. Finally, through Matlab and SPSS software platform, the collected statistical data are fitted and principal component analysis. Based on the analysis of the driving factors which affect all kinds of land changes, the influence of the driving factors is revealed, and then the environmental impact caused by the land changes is analyzed, which provides a theoretical basis for the formulation of the corresponding land planning policies.
【学位授予单位】：东华理工大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：P237;F301.2

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