基于遥感数据的南京地区湿地资源动态变化分析

论文总字数：22986字

目 录

1绪论 1

1.1研究背景和意义

1.2国内外研究现状

1.3研究内容和技术路线

1.3.1研究内容

1.3.2技术路线

2研究区域与数据概况 5

2.1研究区域概况

2.1.1资源环境

2.1.2人文经济

2.2数据介绍

2.2.1 Landsat卫星

2.2.2遥感数据

3南京地区湿地分类解译 8

3.1遥感数据预处理

3.2基于最大似然法的土地利用类型分类

3.2.1土地利用类型分类

3.2.2最大似然法

3.2.3分类后处理

3.3分类精度评价

4研究区土地利用状况的动态变化特征分析 13

4.1不同土地利用类型的面积变化分析

4.2湿地向其他土地利用类型转化的状况分析

4.3形成原因与影响因素

5结果与讨论 18

参考文献 19

致谢 21

基于遥感数据的南京地区湿地资源动态变化分析

陈璞翔

, China

Abstract:With the rapid development of the city, the ecological environment of Nanjing has suffered many man-made destructions, among which the wetland known for its “kidney of the earth” is facing a crisis of shrinking area. According to this situation, the analysis of the dynamic changes of wetland resources in Nanjing is being conducted. It is of great significance. In this paper, the four landscape landsat TM/OLI remote sensing images from 1988, 1997, 2004 and 2017 in Nanjing were selected as data sources. The land use type and wetland information were extracted by the maximum likelihood method, and the wetland types were dynamically analyzed. The results show that: (1)Based on the maximum likelihood method for land use, the classification accuracy(confusion matrix) in 1988, 1997, 2004 and 2017 were 93.07%, 87.21%, 91.84% and 92.94%, respectively. Satisfy the research precision requirements; (2)In the past 30 years, the total wetland area in Nanjing has dropped from 276433.92 hectares to 151409.96 hectares, a total reduction of 45.22% of the total wetland area in 1988; 53.87% of these wetlands have been converted into construction land and woodland; (3)Among the wetland types, the largest reduction area of the paddy fields is 1255241.03 hectares, the lake area reduction amount is next to 4102.74 hectares, the wetland type of mudflats to increase, the area increases by 5503.77 hectares, and the total area reduction of rivers and lakes and the beach area. The increase is almost flat, and the wetland resources are transferred outwards. At the same time, the types of wetlands also have mutual circulation.

Key words:Wetland; Maximum Likelihood; Dynamic change; Remote sensing data

1绪论

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