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 | 是 |
| 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 2007 → 20 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 |
| 市 | Leuven |
| 时期 | 18/07/07 → 20/07/07 |
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:
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可持续发展目标 15 陆地生物
指纹
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