基于高分二号的矿区土地利用精细分类与分析
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摘要
以陕西大西沟金属矿区为研究区,选取国产高分二号卫星全色锐化的多光谱影像为主要数据源,并以研究区的实地调查资料为辅助资料,采用面向对象的支持向量机(SVM)监督分类方法和基于像素SVM分类对该地区的土地利用精细分类,多角度分析比较。结果表明前者分类精度达到了87.63%,更适合矿区土地利用精细分类。从而采用前者分类方法结合矿区道路距离图和矿渣分布图,来分析研究矿区土地变化的一些特征以及对周边环境的影响,为矿区的土地利用和规划提供重要基础。
China has rich mineral resources,but the excessive exploitation and utilization of resource in mining area are highly concerned by the industry insider all the time,especially,the overexploitation in the mining area and the heavy metal contained in the waste residue severely damage the surrounding environment.The remote sensing technology is an important mean to monitor and protect the environmental information in the mining area.In view of this,with the Shaanxi Daxigou metal mining area as the research area,the multispectral image of domestic separator No.2satellite panchromatic sharpening is selected as the main data source,and the field survey data in the research area is regarded as the auxiliary information,and the SVM supervision classification method facing the subject and the SVM classification based on pixel are adopted for the exquisite classification of land utilization in such area and for the multi-angle analysis and comparison.The result shows that the former classification accuracy reaches 87.63%,which is more suitable for the exquisite classification for land utilization in mining area.Hence,some characteristics for the land change in mining area and the impact on the surrounding environment are analyzed and researched by combining the distance map of road in mining area and the scatter diagram of slag in the former classification method to provide an important basis for the land utilization and planning in mining area.
China has rich mineral resources,but the excessive exploitation and utilization of resource in mining area are highly concerned by the industry insider all the time,especially,the overexploitation in the mining area and the heavy metal contained in the waste residue severely damage the surrounding environment.The remote sensing technology is an important mean to monitor and protect the environmental information in the mining area.In view of this,with the Shaanxi Daxigou metal mining area as the research area,the multispectral image of domestic separator No.2satellite panchromatic sharpening is selected as the main data source,and the field survey data in the research area is regarded as the auxiliary information,and the SVM supervision classification method facing the subject and the SVM classification based on pixel are adopted for the exquisite classification of land utilization in such area and for the multi-angle analysis and comparison.The result shows that the former classification accuracy reaches 87.63%,which is more suitable for the exquisite classification for land utilization in mining area.Hence,some characteristics for the land change in mining area and the impact on the surrounding environment are analyzed and researched by combining the distance map of road in mining area and the scatter diagram of slag in the former classification method to provide an important basis for the land utilization and planning in mining area.
引文
[1]任芯雨.考虑植被季相节律的高分辨率遥感影像城市森林分类[D].南京:南京林业大学,2016.
[2]王文卿.遥感技术在国土资源管理中的应用现状及前景[J].测绘通报,2009,(6):38-40.
[3]肖昶,余晓敏,韩逸飞.高分二号卫星影像融合技术研究[J].地理空间信息,2018,16(6):13-16,7.
[4] Wang X,Gaustad G,Babbitt C W,et al.Economic and Environmental Characterization of an Evolving Li-ion Battery Waste Stream[J].Journal of Environmental Management,2014,135(4):126-134.
[5] Tao T,Tan Z,He X.Integrating Environment Into Land-use Planning Through Strategic Environmental Assessment in China:Towards Legal Frameworks and Operational Procedures[J].Environmental Impact Assessment Review,2007,27(3):243-265.
[5]李传方,邹秀琼,张伟,等.地形图质量评分标准的研究[J].地理空间信息,2018,16(4):87-88,93,11.
[6]李芬.资源三号卫星数据在土地利用遥感监测中的应用研究[D].长春:吉林大学,2013.
[7]陶涛.井工煤矿开采生态环境影响评价指标体系研究及实例分析[D].合肥:合肥工业大学,2012.
[8]李娜.土地利用动态遥感监测成果社会化效益评价体系的研究[D].北京:中国地质大学(北京),2010.
[10]刘洪岐.基于RS和GIS的北京市生态环境评价研究[D].北京:首都师范大学,2008.
[2]王文卿.遥感技术在国土资源管理中的应用现状及前景[J].测绘通报,2009,(6):38-40.
[3]肖昶,余晓敏,韩逸飞.高分二号卫星影像融合技术研究[J].地理空间信息,2018,16(6):13-16,7.
[4] Wang X,Gaustad G,Babbitt C W,et al.Economic and Environmental Characterization of an Evolving Li-ion Battery Waste Stream[J].Journal of Environmental Management,2014,135(4):126-134.
[5] Tao T,Tan Z,He X.Integrating Environment Into Land-use Planning Through Strategic Environmental Assessment in China:Towards Legal Frameworks and Operational Procedures[J].Environmental Impact Assessment Review,2007,27(3):243-265.
[5]李传方,邹秀琼,张伟,等.地形图质量评分标准的研究[J].地理空间信息,2018,16(4):87-88,93,11.
[6]李芬.资源三号卫星数据在土地利用遥感监测中的应用研究[D].长春:吉林大学,2013.
[7]陶涛.井工煤矿开采生态环境影响评价指标体系研究及实例分析[D].合肥:合肥工业大学,2012.
[8]李娜.土地利用动态遥感监测成果社会化效益评价体系的研究[D].北京:中国地质大学(北京),2010.
[10]刘洪岐.基于RS和GIS的北京市生态环境评价研究[D].北京:首都师范大学,2008.