Land Use/Cover Change in mining areas using multi-source remotely sensed imagery

被引:0
|
作者
Du, Peijun [1 ]
Zhang, Huapeng [1 ]
Liu, Pei [1 ]
Tan, Kun [1 ]
Yin, Zuoxia [1 ]
机构
[1] China Univ Mining & Technol, Dept Remote Sensing & Geog Informat Sci, Xuzhou 221008, Jiangsu Prov, Peoples R China
关键词
Land Use/Cover Change (LUCC); mining areas; classification; landscape pattern index; change vector analysis;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This paper assessed the advantages of monitoring and analyzing Land Use/Cover Change (LUCC) in mining areas via multi-source remotely sensed data. Comparing with the traditional and object-oriented classification methods, the support vector machine classifier is used to land cover classification based on Landsat TNII/ETM+ and ASTER data. The landscape pattern indices on patch/class and landscape metrics are chosen to analyze and assess LUCC in mining areas and the land cover changes are derived. Finally, a framework of integrating multi-source and multi-temporal RS information for LUCC in mining areas is proposed.
引用
收藏
页码:233 / 239
页数:7
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