基于多时相遥感影像的滨海湿地监测方法研究

广西师范大学学报（自然科学版） ›› 2013, Vol. 31 ›› Issue (3): 144-151.

基于多时相遥感影像的滨海湿地监测方法研究

慈慧^1,2, 郭朋辉¹, 秦勇^1,2, 杨慧^1,2

1.中国矿业大学资源与地球科学学院,江苏徐州221116;
2.煤层气资源及成藏过程教育部重点实验室,江苏徐州221116

收稿日期:2013-04-20 出版日期:2013-09-20 发布日期:2018-11-26
通讯作者: 慈慧(1981—),女,辽宁丹东人,中国矿业大学讲师,博士。E-mail:cihui@163.com
基金资助:
国家自然科学青年基金资助项目(41202237,41001230);江苏高校优势学科建设工程资助项目;徐州市科技项目(XM12B073);中国矿业大学课程建设与教学改革项目(2001227);中国矿业大学资源与地球科学学院课程建设与教学改革项目

Study on Coastal Wetlands Monitoring Using Multi-temporal Remote Sensing Image

CI Hui^1,2, GUO Peng-hui¹, QIN Yong^1,2, YANG Hui^1,2

1.School of Mineral Resources and Earth Science,China University of Mining and Technology, Xuzhou Jiangsu 221116,China;
2.Key Laboratory of CBM Resources and Pooling Process, Ministry of Education of China,Xuzhou Jiangsu,221116,China

Received:2013-04-20 Online:2013-09-20 Published:2018-11-26

摘要/Abstract

摘要： 湿地的现状及其变化趋势对于湿地开发、利用、管理及保护政策的制定至关重要。以江苏省典型滨海湿地为研究对象,利用2002年5月和2007年6月的Landsat7 ETM+图像数据,在分析湿地特征及其遥感图像表征的基础上,通过对湿地多光谱遥感图像特征向量的分析,对2002年的影像进行基于知识规则的信息提取,对2007年的影像采用监督分类与非监督分类相结合的方法进行分类,两者都取得了较为理想的分类结果,最后对分类后的两期影像分别采用分类后比较法和RB-NDVI-NDMI法进行滨海湿地的变化监测。经对比发现,这两种方法得到的总体变化基本一致,都显示研究区的湿地面积正在减少,自然湿地退化较为严重,且更多地转变为稻田和旱地。两种监测方法各有利弊,前者易受分类精度的影响,后者易受选取图像纹理特征的影响。

关键词: 江苏省滨海湿地, 信息提取, 变化监测, 知识规则, 多变量特征

Abstract: The present condition and its changing trend of wetland are very important to the making of policy upon the reclamation,exploitation,management and protection of wetland.In this paper,the coastal wetlands in the northern part of Jiangsu province were taken as study object and the technology about the extraction of wetland was explored by using multi-features and knowledge rules and multi-spectral Landsat 7 ETM+ images acquired on May 26,2002 and June 17,2007,in combination with the analysis upon the characteristics of wetlands and its presentation in remotely sensed imagery and the data of field investigation of the same period.At first,the extraction of wetland on the image acquired in 2002 was carried out based on knowledge rules,and then,the fusion of supervised and unsupervised classification was used to classify the image acquired in 2007.Both of the two methods obtained good results.At last,a change detection was performed on the two images using both comparison after classification and RB-NDVI-NDMI methods.The two results are in substantial agreement,but they have pros and cons.

Key words: coastal wetland of Jiangsu Province, extracting information, change detection, knowledge rules, multi-features

中图分类号:

TP79

慈慧, 郭朋辉, 秦勇, 杨慧. 基于多时相遥感影像的滨海湿地监测方法研究[J]. 广西师范大学学报（自然科学版）, 2013, 31(3): 144-151.

CI Hui, GUO Peng-hui, QIN Yong, YANG Hui. Study on Coastal Wetlands Monitoring Using Multi-temporal Remote Sensing Image[J]. Journal of Guangxi Normal University(Natural Science Edition), 2013, 31(3): 144-151.

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