遥感科学与应用技术

面向对象的鄱阳湖南矶湿地国家级自然保护区烧荒地信息提取

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  • 1. 中国科学院地理科学与资源研究所资源与环境信息系统国家重点实验室, 北京100101;
    2. 中国矿业大学北京, 北京100083
郭海会(1988- ),女,硕士生,研究方向为遥感技术与应用。E-mail:guohaihui0421@163.com

收稿日期: 2013-07-29

  修回日期: 2013-08-29

  网络出版日期: 2014-05-10

基金资助

环保公益性行业科研专项项目(201109075);中科院信息化专项项目(XXH12504-1-01)

The Moorburn Information Extraction on Poyang Lake Nanji Wetland Nature Reserve Area Based on the Object-oriented Classification Method

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  • 1. State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China;
    2. China University of Mining and Technology Beijing, Beijing 100083, China

Received date: 2013-07-29

  Revised date: 2013-08-29

  Online published: 2014-05-10

摘要

鄱阳湖南矶湿地国家级自然保护区内时常有烧荒事件发生,这对保护区生物多样性和区域生态环境造成一定影响,快速、便捷、准确地获取烧荒地信息是该区域环境管理的紧迫需求。本文针对2012年1月初鄱阳湖南矶山湿地发生的烧荒事件,采用环境与灾害监测预报小卫星影像数据,以鄱阳湖南矶湿地国家级自然保护区所在的新建县为研究区。以面向对象的遥感影像分析方法,通过对影像的多尺度分割,根据影像的光谱信息、空间特征、纹理特征等,构建烧荒地提取的规则集,对影像中的烧荒地信息进行提取,并利用混淆矩阵对信息提取结果进行精度检验。精度检验结果表明,烧荒信息提取的总体精度为99.38%,Kappa系数为0.89,证明面向对象的遥感信息提取方法可以有效、快速地提取烧荒地信息,避免了传统方法中的椒盐状破碎图斑的现象。

本文引用格式

郭海会, 王卷乐, 周玉洁, 吴小娜, 侯海倩 . 面向对象的鄱阳湖南矶湿地国家级自然保护区烧荒地信息提取[J]. 地球信息科学学报, 2014 , 16(3) : 499 -506 . DOI: 10.3724/SP.J.1047.2014.00499

Abstract

Moorburn was occurred frequently in Poyang Lake Nanji Wetland National Nature Reserve, which affected biodiversity and regional ecological environment to some extend. The traditional moorburn information extraction methods have their respective advantages, but it is not suitable for rapid and emergency moorburn monitoring. So it is an urgent demand to extract moorburn information for environmental management in Poyang Lake Nature Reserve in a quick, convenient and accurate way. This paper focused on the moorburn incident in Poyang Nanji Nature Reserve Area of Poyang Lake located. The environmental mitigation satellite data were adopted in Lake Nanji wetland in early January 2012, taking Xinjian County as the study area. The research was based on object-oriented remote sensing image analysis theory. Firstly, the image was multi-scale segmented and merged. The scale of the image segmentation and merging of 35 and 80 respectively. Then, the rule set of moorburn extraction was built based on the spectral information, spatial feature, and texture feature of image. The spectral information rules were built based on Hue, NDVI, MTVI and the principal components after the principal component analysis. The space characteristic rules were built based on area and roundness. The rules of texture feature were built based on texture mean and texture entropy. Finally, the moorburn information was extracted, and the extraction result is tested with confusion matrix. Accuracy test shows that overall accuracy is 99.38%, and Kappa is 0.89. It demonstrates that the object-oriented method is a kind of effective, accurate and fast method for the extraction of moorburn information, and it can avoid salt and pepper broken figure spot in traditional methods. The difference of moorburn information and other features is bigger in the first principal component after the PCA transformation in spectral characteristics and the texture entropy of texture features. But the difference is very small in space characteristics. The method can provide data support and technical reference for environmental protection, nature reserve management and moorburn management in the Poyang Lake area.

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