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煤矿区地质环境与地质灾害遥感集成监测系统的关键技术
引用本文:杜培军,;陈云浩,;曹金亮,;王润福.煤矿区地质环境与地质灾害遥感集成监测系统的关键技术[J].测绘软科学研究,2008(5):14-20.
作者姓名:杜培军  ;陈云浩  ;曹金亮  ;王润福
作者单位:[1]中国矿业大学测绘与空间信息工程研究所,江苏徐州221116; [2]北京师范大学资源学院,北京100875; [3]山西省地质环境监测中心,山西太原030024
基金项目:国家863高技术发展计划资助项目(2007AA122162);教育部新世纪优秀人才支持计划资助项目(NCET-06-0476)
摘    要:面向“数字矿山”应用系统的需要,在分析煤矿区地质环境和地质灾害特点及其在遥感监测理论依据的基础上,提出了煤矿区地质环境与地质灾害遥感集成监测系统的技术思路和体系结构,强调各种监测技术手段、不同时空尺度、不同数据源和不同主题信息的集成,并针对这一集成系统实现与应用中的多目标遥感信息处理、环境传感器网络应用、遥感监测数据与专题分析模型的集成、数据质量控制等关键问题进行了探讨。

关 键 词:煤矿区  地质环境  地质灾害  遥感  多目标信息处理  环境传感网络

Key Techniques for the Integrated Monitoring of Geological Environment and Geohazards in Mining Areas Based on Remote Sensing
Institution:DU Pei-jun, CHEN Yun-hao, CAO Jin-liang, WANG Run-fu (1. Institute of Surveying and Spatial Information Engineering, China University of Mining and Technology, Xuzhou 221116, China; 2. College of Resources Science and Technology, Beijirtg Normal University, Beijing 100875, China; 3. Center for Geological Environment Monitoring of Shanxi Province Taiyuan 030024, China)
Abstract:According to the requirements of applied systems fnr Digital Mines, and taking account into the characteristics of geological environment and geohazards in coal mining areas and the principles of monitoring them using modern remote sensing technologies, the technical idea and structure of integrated monitoring system for geological environment and geohazards in coal mining areas based on remote sensing is proposed, in which the integration of muhiple monitoring techniques, different spatio-temporal scale, muhiple data sources and information for various themes should be highlighted. Furthermore, some key techniques for this integrated system, iueluding muhiple-purpose remote sensing information processing, uses of environmental sensor networks, integration of remote sensing data and analytical model, and data quality control, are investigated in detail.
Keywords:coal mining areas  geological environment  geohazard  remote sensing  multiplepurpose remote sensing information processing  environmental sensor network
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