基于QuickBird图像分析的公路建设生态环境影响评价

Xiaolei Yao, Jingshan Yu, Hua Li
{"title":"基于QuickBird图像分析的公路建设生态环境影响评价","authors":"Xiaolei Yao, Jingshan Yu, Hua Li","doi":"10.1109/ICSAI.2012.6223467","DOIUrl":null,"url":null,"abstract":"Highway, as human made construction on land surface, has influence on natural environment in some geographical region. Ecological environment monitoring is fundamental for highway environmental protection, which is one of the main tasks of traffic environmental monitoring. Conventional methods of the ecological environment monitoring are time-consuming and are not feasible for large area monitoring. Assessment based on remote sensing and GIS can dynamically detect the impacts on ecological environment before and after highway construction. And it can also provide useful information for making decision about the strategy of highway environmental protection. In this study, an assessment based on analyzing Quick Bird image before and after construction period was carried out. After fusing multispectral and panchromatic Quick Bird images based on principal component analysis (PCA) and geometric correction using ERDAS software, the Normalized Difference Vegetation Index (NDVI) and Vegetation Coverage (VC) was computed from the fused image. By utilizing the eCognition software, land use classification was detected. The NDVI, VC and land use classification before and after construction was compared. The results indicate that the vegetation density, area of farmland and woodland are reduced, which is consistent with the results obtained from field survey.","PeriodicalId":164945,"journal":{"name":"2012 International Conference on Systems and Informatics (ICSAI2012)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Impact assessment of highway construction on ecological environment based on QuickBird images analysis\",\"authors\":\"Xiaolei Yao, Jingshan Yu, Hua Li\",\"doi\":\"10.1109/ICSAI.2012.6223467\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Highway, as human made construction on land surface, has influence on natural environment in some geographical region. Ecological environment monitoring is fundamental for highway environmental protection, which is one of the main tasks of traffic environmental monitoring. Conventional methods of the ecological environment monitoring are time-consuming and are not feasible for large area monitoring. Assessment based on remote sensing and GIS can dynamically detect the impacts on ecological environment before and after highway construction. And it can also provide useful information for making decision about the strategy of highway environmental protection. In this study, an assessment based on analyzing Quick Bird image before and after construction period was carried out. After fusing multispectral and panchromatic Quick Bird images based on principal component analysis (PCA) and geometric correction using ERDAS software, the Normalized Difference Vegetation Index (NDVI) and Vegetation Coverage (VC) was computed from the fused image. By utilizing the eCognition software, land use classification was detected. The NDVI, VC and land use classification before and after construction was compared. The results indicate that the vegetation density, area of farmland and woodland are reduced, which is consistent with the results obtained from field survey.\",\"PeriodicalId\":164945,\"journal\":{\"name\":\"2012 International Conference on Systems and Informatics (ICSAI2012)\",\"volume\":\"42 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-05-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 International Conference on Systems and Informatics (ICSAI2012)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSAI.2012.6223467\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 International Conference on Systems and Informatics (ICSAI2012)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSAI.2012.6223467","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

公路作为人类在陆地上的人工建筑,对一定地理区域内的自然环境有一定的影响。生态环境监测是公路环境保护的基础,是交通环境监测的主要任务之一。传统的生态环境监测方法耗时长,不适合大面积监测。基于遥感和GIS的评价可以动态检测公路建设前后对生态环境的影响。并可为公路环境保护战略的制定提供有用的信息。本研究在分析Quick Bird施工前后图像的基础上进行了评价。利用ERDAS软件进行主成分分析(PCA)和几何校正,对多光谱和全色Quick Bird图像进行融合,计算归一化植被指数(NDVI)和植被覆盖度(VC)。利用ecrecognition软件进行土地利用分类检测。比较了建设前后NDVI、VC和土地利用分类。结果表明,植被密度、耕地和林地面积均有所减少,与野外调查结果一致。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Impact assessment of highway construction on ecological environment based on QuickBird images analysis
Highway, as human made construction on land surface, has influence on natural environment in some geographical region. Ecological environment monitoring is fundamental for highway environmental protection, which is one of the main tasks of traffic environmental monitoring. Conventional methods of the ecological environment monitoring are time-consuming and are not feasible for large area monitoring. Assessment based on remote sensing and GIS can dynamically detect the impacts on ecological environment before and after highway construction. And it can also provide useful information for making decision about the strategy of highway environmental protection. In this study, an assessment based on analyzing Quick Bird image before and after construction period was carried out. After fusing multispectral and panchromatic Quick Bird images based on principal component analysis (PCA) and geometric correction using ERDAS software, the Normalized Difference Vegetation Index (NDVI) and Vegetation Coverage (VC) was computed from the fused image. By utilizing the eCognition software, land use classification was detected. The NDVI, VC and land use classification before and after construction was compared. The results indicate that the vegetation density, area of farmland and woodland are reduced, which is consistent with the results obtained from field survey.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信