SCSC2003 Abstract S1777



Submitting Author: Ms. Nuray Erdogan

In surface coal mining large volumes of waste material are excavated and removed from one place to another causing continuous change in topography with time. This requires systematic topographical measurements and monitoring of the mine environment to update the pit plans. Conventional chaining, traversing and theodolite surveys for mine excavations are time consuming, costly with large estimation and human errors. The time lag between data information base updates from these methods for mine planning and design cause significant production delays. Current real-time survey technologies have significantly improved surface mine excavation surveys. These methods include the global positioning satellite (GPS), remote sensing (RS) and geographic information systems (GIS) surveys. This study uses GIS and RS survey techniques to monitor the changes in the mining area and to estimate the areal extent of overburden stripped in a surface lignite mine. Two-satellite images (SPOT Panchr
omatic and Multispectral Images) covering Göynük Lignite mine area acquired in the years 1987 and 1999, were used for this purpose. The areal extent of excavated overburden was calculated by means of overlay analysis using digital elevation model (DEM) of the area and available topographical surveys. This study also presents the land cover mapping of the mine area in accordance with the change detection using the SPOT satellite images. The primary objective in the change detection study was to identify the areas affected from mining activities and the direction of progress of mining. After radiometric and geometric correction of the images, change detection was accomplished by comparing two images using the band differencing change detection algorithm.

From detailed analysis of the results, it was detected that the change in the region, which occured between the years 1987 and 1999 due to the mining activities, was an areal extent. The results of the band differencing algorithm showed that most of the changes had occured in the western part of the mine region between the years 1987 and 1999. Also, on the basis of unsupervised classification technique, using the multispectral SPOT image acquired in 1999, the mining region was analysed quantitavely with regard to the residential area, vegetational area, bare soil and mining area. The accuracy assessment of the classification was performed by using the field observations done with GPS. Increasing the spatial resolution in addition to the spectral resolution by merging the panchromatic and multispectral images increased the classification accuracy. The accuracy of 88% for the merged image inland cover mapping indicated that there is a high potential in using merged panchromati
c and multispectral SPOT images for this purpose.

The main contributions of this study are to use of SPOT satellite images in monitoring the changes in surface mining area at first time in Turkey, to state the capabilities and the limits of this data source for the problem specification, to produce significant results in accuracy of classification at the end of a merging process of SPOT panchromatic and multispectral images and to introduce a new approach to determine the amount of overburden excavated in surface mine

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