基于多源遥感数据融合的矿山生态恢复效果测绘研究  

Research on Mapping Effect of Mine Ecological Restoration Based on Multi-Source Remote Sensing Data Fusion

作　　者：段昭义 DUAN Zhaoyi(East China Metallurgical Geological Survey Bureau 812 Geological Team,Tongling 244000,China)

机构地区：[1]华东冶金地质勘查局八一二地质队,安徽铜陵244000

出　　处：《中国资源综合利用》2025年第2期220-223,共4页China Resources Comprehensive Utilization

摘　　要：矿山开采活动通常对生态环境造成显著破坏,如何有效地监测和评估矿山生态恢复效果成为环境科学研究的重要课题。多源遥感数据融合技术提供了一种有效的手段,能够综合不同传感器收集的数据,提高生态恢复测绘的精度和可靠性。遥感数据融合主要包括像素级、特征级和决策级3种基本方法,适用于不同的数据类型和应用场景。通过试验设计和实际数据采集,应用多源遥感数据融合技术,构建了一套矿山生态恢复效果测绘指标体系,精确监测与评估矿山生态恢复进程,并分析了测绘结果,验证了数据融合技术在生态恢复评估中的有效性和实用性。Mining activities often cause significant damage to the ecological environment,and how to effectively monitor and evaluate the ecological restoration effect of mines has become an important topic in environmental science research.Multi source remote sensing data fusion technology provides an effective means to integrate the data collected by different sensors and improve the accuracy and reliability of ecological restoration mapping.Remote sensing data fusion mainly includes three basic methods:pixel level,feature level,and decision level,which are applicable to different data types and application scenarios.Through experimental design and actual data collection,a set of surveying and mapping indicators for the ecological restoration effect of mines was constructed using multi-source remote sensing data fusion technology.The precise monitoring and evaluation of the ecological restoration process of mines were carried out,and the surveying results were analyzed and discussed to verify the effectiveness and practicality of data fusion technology in ecological restoration assessment.

关 键 词：多源遥感数据融合 矿山生态恢复效果 测绘 

分 类 号：X171[环境科学与工程—环境科学]