...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Journal of spatial science >Multitemporal and multisensory Landsat ETM+ and OLI 8 data for mine waste change detection in northern Tunisia
【24h】

Multitemporal and multisensory Landsat ETM+ and OLI 8 data for mine waste change detection in northern Tunisia

机译：北突尼斯北部矿井废物变化检测的多态和多群体LANDSAT ETM +和OLI 8数据

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Mine wastes of the abandoned Pb-Zn mining district of Jebel Hallouf- Bouaouane in the north of Tunisia are continually exposed to erosion and thus threaten soils, vegetation and above all human health. Detecting changes of mine wastes in a quick and timely fashion is the first step towards mitigating their impact and surveying the environment. Thus, this study shows the role and importance of earth observation technology and a type of spatial science processing in mine waste change detection and assessment. Both pre- and postclassification methods based on multitemporal and multisensory Landsat ETM+ and OLI 8 data are performed and compared to evaluate the efficiency of the methods. Field measurements, X-ray diffraction (XRD) analysis of field samples and polished section observations were used to evaluate waste changes identified remotely. The comparison of results shows that the pixel-based iteratively reweighted multivariate alteration detection (IR-MAD) pre-classification method offers the best change detection for mine wastes.
机译：突尼斯北部的杰布尔哈鲁夫 - Bouaouane的废弃PB-ZN矿区的矿山废弃物不断暴露于侵蚀，从而威胁土壤，植被和高于所有人类健康。以快速及时的方式检测矿山废物的变化是促进其影响和调查环境的第一步。因此，本研究表明了地球观测技术的作用和重要性以及矿井废物变化检测和评估中的空间科学处理。进行基于多师和多思考LANDSAT ETM +和OLI 8数据的预先分类方法，并进行比较，以评估方法的效率。现场测量，X射线衍射（XRD）对现场样品和抛光截面观察的分析用于评估远程鉴定的废物变化。结果的比较表明，基于像素的迭代重量多变量改变检测（IR-MAD）预分类方法为矿井废物提供了最佳变化检测。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号