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Landuse Change Detection in a Surface Coal Mine Area Using Multi Temporal High Resolution Satellite Images

2010-05-26
Demirel, Nuray
Düzgün, Hafize Şebnem
EMİL, MUSTAFA KEMAL
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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
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Surface mining activities, exploitation of ore and stripping and dumping overburden, cause changes on the land cover and landuse of the mine area. The areal extend of the land disturbance could substantially be large for surface coal mining due to the nature of the coal extraction process. Sustainable mining requires continuous monitoring of the land cover and landuse change induced by the mining activities. This is essentially important for identifying the long-term impacts of mining on environment and land cover to provide required mine closure and reclamation measures. In this sense, digital image classification provides a powerful tool to obtain a rigorous data and hence diminishes the essence of time-consuming and costly field measurements particularly for large areas. Various satellite-based remotely sensed data serve different features for different purposes. The selection of suitable data and image classification method is significant for effective use of extracted information from the satellite imagery like landuse classes. This paper proposes a methodology for identifying landuse change in surface coal mines using multi temporal high resolution satellite images. The methodology was implemented for identifying, quantifying, and analyzing the spatial response of landscape due to surface mining activities in the surface mine, Goynuk, Bolu, Turkey, from 2004 to 2008. The methodology essentially entails (i) acquiring data, (ii) preprocessing the data, (iii) image classification using maximum likelihood classification algorithm (iv) accuracy assessment, (v) change detection analysis depending on class-based approaches. The results showed that the methodology can effectively be utilized in monitoring landuse change in surface coal mining areas. It also provides essential input for planning mine reclamation and closure activities.
Landuse change, Surface coal mine, Change detection, Remote sensing, Image classification
https://hdl.handle.net/11511/53408
Department of Mining Engineering, Conference / Seminar
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