• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>The 28th International Symposium on Remote Sensing of Environment, Mar 27-31, 2000, Cape Town, South Africa >Application of Earth Observation Data in Monitoring and Recultivation of Mining Areas
【24h】

Application of Earth Observation Data in Monitoring and Recultivation of Mining Areas

机译：地球观测数据在矿区监测与修复中的应用

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

Intense mining In former GDR especially on uranium ores and lignite did damage the environment up to a catastrophic extent and caused intensive hazards for the population as well as for the ecology. The total extent of the devastation and the pollution of the environment affecting hundreds of square kilo meters in one of the most densely populated areas of mid-Europe became slowly visible after breaking down the "wall" in 1989. To get an overview of the hazards and the dimension of the devastation remote sensing techniques were employed. To stop the impact of mining in ecology, human habitat and human health, great efforts are done to clean up, renaturalize those areas and to prevent further spreading of the pollution. The works in the uranium mining areas is the biggest current attempt for rehabilitation of a former mining area in the world. For conducting and monitoring of rehabilitation work and its success, as well as the changes in ecology, remote sensing data products and remote sensing services are developed. To serve all possible needs in terms of repetition rate, information content and ground resolution a wide variety of airborne (DPA, DAIS, CIR aerial photographs) and spaceborne sensors (ERS-1/2 SAR, Landsat-TM, IRS-1C PAN/LISS, KVR) as well as additional ground based data sets were applicated.
机译：强烈开采在前东德，特别是铀矿石和褐煤确实对环境造成了灾难性的破坏，对人口和生态造成了严重危害。在1989年拆除“隔离墙”后，在欧洲中部人口最稠密的地区之一，数百平方公里的破坏和环境造成的总破坏和污染变得很明显。并采用了毁灭性遥感技术的规模。为了制止采矿业对生态，人类栖息地和人类健康的影响，已做出巨大努力来清理，使这些地区自然化并防止污染进一步扩散。铀矿开采区的工程是目前世界上最大的矿山复垦尝试。为了进行和监测康复工作及其成功以及生态变化，开发了遥感数据产品和遥感服务。为了满足重复率，信息内容和地面分辨率方面的所有可能需求，各种各样的机载（DPA，DAIS，CIR航空照片）和星载传感器（ERS-1 / 2 SAR，Landsat-TM，IRS-1C PAN / LISS，KVR）以及其他基于地面的数据集都得到了应用。

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