Research And Application Of Space-time Monitoring By RS And GIS Technology In Ecological Environment Of Mining Subsidence Areas

With Chinese mining industry developing rapidly, many areas have very serious ground subsidence. Based mining subsidence area of Kailuan coal mine as an example of environmental monitoring, we make the dynamic and space-time monitoring. The surface environmental monitored by Remote sensing (RS) and Geographic Information System (GIS) technology in mining subsidence area, eventually, we will attain a aim that the monitoring is macro, fast, accurate and effective to the ecological environment of subsidence area. It can play an important role in the decision-making of government and the mining area of ecological reconstruction and plan.In this paper, based on the mining subsidence area in Kailuan, Tangshan. we choose the three kinds of sensors and six time images, which are the TM data of Landsat 5 in 1988, 1990 and 1992, and the ETM+ data of Landsat7 in 1999 and the ASTER data in 2002. The remote sensing images have a time-span of 14 years. First of all, the data were made conventional processing——radiation correction, geometric correction, the ratio enhancement(NDVI,NDWI), and so on. Then, in the ERDAS Classifier module, the images were supervised classification. To faster dynamically monitor and improve the accuracy of supervised classification results, images were done the visual interpretation and the amendment based on Google Earth. It improves the accuracy of supervised classification. In the amending process, we attempt to use Google Earth platform launched by Google in June 2005 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. Finally, we make maps of classification interpretation and quantitative and qualitative analysis to results of the data.It is very effective to extract images information and classification. 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.