Google Earth在采煤塌陷区遥感环境监测中的研究与应用  

Research and Application of Google Earth in environmental monitoring of remote sensing in the Mining Subsidence Area

作　　者：李海燕[1] 苗放[1] 李海鹰 

机构地区：[1]成都理工大学信息工程学院,四川成都610059 [2]山西省煤炭地质水文勘查研究院,山西太原036000

出　　处：《内蒙古石油化工》2008年第1期1-4,共4页Inner Mongolia Petrochemical Industry

基　　金：国家高技术研究发展计划(863计划)子课题"基于3S技术的采煤塌陷区时空监测及识别技术研究(课题编号:2005AA644030-8)

摘　　要：本文以开滦煤矿塌陷区环境监测为例,选取了TM、ETM+和ASTER三个时相的遥感图像,即1988年的Landsat5 TM数据、1999年的Landsat7 ETM+数据和2002年的ASTER数据,在ERDAS对数据进行处理,即辐射校正、几何配准、比值增强和监督分类,在监测过程中,本文运用了Google Earth平台,作为动态监测的辅助工具,采集Google Earth服务器上的高分辨率的遥感影像数据作为参考,与在ERDAS里的分析数据进行经纬坐标精确查询。利用Google Earth提高了整体工作效率,为环境重建和复垦工作提供了迅速、有力的科学依据。In this paper, based on the mining subsidence area in KaiLuan,Tangshan. We choose the three kinds of sensors and three time images, which are the TM data of Landsat5 in 1988, and the ETM＋data of Landsat7 in 1999 and the ASTER data in 2002. First of all, the data were made conventional processing in ERDAS ,which are radiation correction, geometric correction, the ratio enhancement, and so on. To faster dynamically monitor and improve the accuracy of supervised classification results, images were done of the visual interpretation and the amendment based on Google Earth. In the amending process, we attempt to use Google Earth platform launched as the aids for dynamical monitoring. In the Google Earth server, images as a reference have high-resolution, can be viewed and downloaded very fast. We can accurately search the latitude and longitude coordinates between in ERDAS and in Google Earth. It improves the efficiency of the entire work. This paper provides a rapid and strong scientific basis for environmental redevelopment and reclamation to KaiLuan Mining Subsidence Areas.

关 键 词：采煤塌陷区 遥感 GOOGLE EARTH 

分 类 号：TP393.092[自动化与计算机技术—计算机应用技术] X83[自动化与计算机技术—计算机科学与技术]