Google Earth Engine平台支持下的铁矿区开采及植被变化遥感动态监测  

Dynamic monitoring using remote sensing technology for iron mining area and vegetation change detection based on Google Earth Engine platform

作　　者：刘家兴 隋翔宇 包妮沙[1] 毛亚纯[1] 赵占国[2] 石玉君[3] Liu Jiaxing;Sui Xiangyu;Bao Nisha;Mao Yachun;Zhao Zhanguo;Shi Yujun(School of Resources and Civil Engineering,Northeastern University,Shenyang 110819,China;China National Gold Group Co.,Ltd.,Beijing 100011,China;China Gold Group Inner Mongolia Mining Co.,Ltd.,Manzhouli 021400,China)

机构地区：[1]东北大学资源与土木工程学院,辽宁沈阳110819 [2]中国黄金集团有限公司,北京100011 [3]中国黄金集团内蒙古矿业有限公司,内蒙古满洲里021400

出　　处：《矿山测量》2020年第6期43-48,共6页Mine Surveying

基　　金：辽宁省重点研发计划“工业矿区生态修复及资源综合利用研究”(2019020104-JH2/103);企业横向课题“露天矿超高边坡滑坡灾变机理与防控技术”(2016ZFC0801602)。

摘　　要：针对露天开采带来的环境问题,文中基于Google Earth Engine云平台下Landsat卫星长时间序列遥感数据,利用时间序列法和梯度分水岭分割算法,提取1999~2019年鞍山市铁矿区植被和开采破坏变化信息,实现实时、快速获取矿区开采破坏以及复垦土地时空变化特征,为东北老工业基地的生态文明建设、绿色矿山建设提供支持。In response to the environmental problem caused by the strip-mining,in this paper,the vegetation and the mining break change information were extracted using the time series method and gradient watershed segmentation algorithm based on the Landsat satellite long-term remote sensing data under the Google Earth Engine cloud platform from 1999 to 2019 in iron ore area in Anshan.Real-time and rapid acquisition of the characteristics of mining damage in mining areas and the temporal and spatial changes of reclaimed land were achieved,which provided the support for the construction of ecological civilization and green mines in old industrial base in Northeast China.

关 键 词：Google Earth Engine(GEE) 露天开采 动态监测 梯度分割算法 植被变化 

分 类 号：TD176[矿业工程—矿山地质测量] P237[天文地球—摄影测量与遥感]