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Land use/cover change in mining areas using multi-source remotely sensed imagery

  • Peijun Du*
  • , Huapeng Zhang
  • , Pei Liu
  • , Kun Tan
  • , Zuoxia Yin
  • *此作品的通讯作者
  • China University of Mining and Technology
  • University of Nottingham

科研成果: 书/报告/会议事项章节会议稿件同行评审

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 TM/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.

源语言英语
主期刊名Proceedings of MultiTemp 2007 - 2007 International Workshop on the Analysis of Multi-Temporal Remote Sensing Images
DOI
出版状态已出版 - 2007
已对外发布
活动2007 International Workshop on the Analysis of Multi-Temporal Remote Sensing Images, MultiTemp 2007 - Leuven, 比利时
期限: 18 7月 200720 7月 2007

出版系列

姓名Proceedings of MultiTemp 2007 - 2007 International Workshop on the Analysis of Multi-Temporal Remote Sensing Images

会议

会议2007 International Workshop on the Analysis of Multi-Temporal Remote Sensing Images, MultiTemp 2007
国家/地区比利时
Leuven
时期18/07/0720/07/07

联合国可持续发展目标

此成果有助于实现下列可持续发展目标:

  1. 可持续发展目标 15 - 陆地生物
    可持续发展目标 15 陆地生物

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