基于多源遥感数据的煤矿塌陷区快速动态监测方法的研究
Study on Fast Dynamic Monitoring Methods in Coal Mine Collapse Region Based on Multi-Source Remote Sensing Data
作者: 赵云昌 ：山东省国土测绘院，地理信息工程院，山东，济南; 王 萍 ：山东科技大学测绘科学与工程学；山东高校海洋测绘重点实验室, 山东，青岛; 李新芝 ：中测新图(北京)遥感技术公司，北京;
关键词: 数据融合； 主成分分析； 塌陷区； GIS； Data Fusion； Principal Component Analysis； Collapse Region； GIS
摘要:Abstract: This paper aims to get mutative regions and attributes through the methods of multi-temporal fusion and principal component analysis which is based on Landsat TM/ETM multi-temporal remote sensing data, SPOT texture and DEM features. Then the information of nearly twenty years’ changes in collapse region is extracted in two periods by GIS software. Thus, combined with the 2013 DEM data, the temporal and spatial distribution rule of collapse region during 1987-2013 can be obtained. The results show that, collapse region changes from 1987 to 2000 illustrate that mining is mainly in Western newer mining area; but area change in collapse region from 2000 to 2013 is smaller because the collapse regions are reclaimed into fish ponds, villages and so on.
文章引用: 赵云昌 , 王 萍 , 李新芝 (2015) 基于多源遥感数据的煤矿塌陷区快速动态监测方法的研究。 测绘科学技术， 3， 6-12. doi: 10.12677/GST.2015.31002
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