摘要景观生态学作为生态学和环境科学领域的一门综合交叉学科，近年来发展迅速，其为湿地科学研究带来新的思想与方法。遥感技术具有大范围、多时相的动态检测功能，能够获取客观可靠的数据，GIS 技术强大的空间信息处理功能可以精确的对湿地资源进行评价和动态变化分析,结合遥感和GIS技术,从自然和人文角度探寻湿地演变规律,愈来愈多地被运用至湿地研究中。本文基于国内外湿地遥感提取方法与景观格局模型研究，应用目视解译的遥感图像提取方法,选取斑块类型面积、斑块个数、香农度多样性指数、蔓延度指数等景观多样性指数，采用单一类型变化率模型、区域动态度模型和动态转移矩阵，从而对西溪湿地的景观格局演变和时空变化进行探究，为西溪湿地的进一步保护研究提供基础。70073

毕业论文关键词：西溪湿地； 遥感； 景观格局； 信息提取

As a comprehensive cross subject in the field of ecology and environmental science, landscape ecology is booming in recent years, it brought new research thoughts and method in the wetland science research.Remote sensing technology has wide range, long phase of dynamic detection function, can obtain objective and reliable data, while GIS has strong spatial information processing functions, which can be accurately evaluate the wetland resources and the analysis of dynamic change. It is more and more applied to wetland research that based on remote sensing and GIS technology, exploring the wetland evolution law in the perspective of nature and the humanities. In this paper, based on the research of the method to extract wetland remote sensing at home and abroad and the landscape pattern model, applied visual interpretation of remote sensing image extraction method, selected landscape persity index, such as patch type area, patch number, Shannon persity index, contagion index, and so on, Used single type of change rate model, regional dynamic degree model and dynamic transfer matrix, thus explored the landscape pattern and the change of time and space of Xixi wetland, to provide the basis for the further protection of Xixi wetland.

Keyword: Xixi wetland; remote sensing; landscape patterns; information extraction

目录

一、引言 4

1.1 国内外研究现状 4

（1）湿地遥感信息提取技术研究现状 4

（2）景观格局研究现状 4

1.2 论文框架 5

二、研究区域与数据 6

2.1 研究区概况 6

2.2数据源 6

2.2.1基础数据 6

2.2.2 高分辨率遥感影像 6

三、研究方法 8

3.1 技术流程 8

3.2 湿地分类系统 8

3.3 湿地信息提取 11

3.4 湿地景观格局指数 11

3.5 湿地时空变化模型 12

3.5.1单一湿地类型变化率 12

3.5.2区域湿地动态度 13

3.5.3转移矩阵 13

四、结果和分析 13

4.1 湿地空间格局和面积统计数据 13

4.1.1 湿地空间格局 13

4.1.2 湿地面积及比例统计 遥感的西溪湿地景观格局指数提取方法研究:http://www.751com.cn/guanli/lunwen_79206.html