摘要
绿色矿山遴选评估方法以查询资料和现场实地调查为主,具有一定的局限性。为克服常规评估方法的限制,充分发挥遥感在自然资源主体业务中的支撑作用,提高绿色矿山遴选工作的效率和质量,探讨利用遥感技术手段客观、宏观、直观的“三观”特点以及反映动态变化的优势,对绿色矿山建设的先决条件和评价指标进行辅助审核。应用结果表明,遥感在监测疑似违规开采、矿山环境、矿山恢复治理、露天矿山储量动态变化、涉及各类自然保护区等方面具有明显的优势,能够快速提取矿山开采、恢复治理等现状及不同时期的变化信息。将该手段应用于矿山企业自评估、第三方机构评估、自然资源部门审查和监管等绿色矿山遴选过程,可降低人为主观影响,提高评估的客观性,提升评估和审核的效率与质量。
The evaluation methods of green mine selection are mainly based on inquiries and on-site field surveys,which have certain limitations.In order to overcome the limitations of conventional evaluation methods,give full play to the supporting role of remote sensing in the main business of natural resources,and improve the efficiency and quality of green mine selection.To discuss and investigate the use of remote sensing technology s objective,macroscopic,and intuitive characteristics and the advantages of reflecting dynamic changes to assist in reviewing the prerequisites and evaluation indicators for green mine construction.The application results show that remote sensing has obvious advantages in monitoring suspected illegal mining,mine environment,mine restoration and management,dynamic changes in open-pit mine reserves,and involving various nature reserves.It can also quickly extract current status and differences in mine mining,restoration and management.Information about changes in the period.Applying remote sensing technology to the selection process of green mine selection such as self-evaluation of mining enterprises,third-party agency evaluation,natural resources department review and supervision,etc.,can reduce subjective factors,increase the objectivity of evaluation,and improve the efficiency and quality of evaluation and review.
作者
胡官兵
廖志坚
裴捷
罗光明
张硕
HU Guanbing;LIAO Zhijian;PEI Jie;LUO Guangming;ZHANG Shuo(Yunnan Geological and Technical Information Center,Kunming 650051,China;Yunnan Planning and Design Institute of Land Resources,Kunming 650051,China)
出处
《中国矿业》
2021年第10期52-56,共5页
China Mining Magazine
关键词
遥感
绿色矿山
遴选
遥感解译
辅助审核
remote sensing
green mine
selection
remote sensing interpretation
aided verification