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

Date

2010-05-26

Author

Demirel, Nuray
EMİL, MUSTAFA KEMAL

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

213
views

0
downloads

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.

Subject Keywords

Landuse change, Surface coal mine, Change detection, Remote sensing, Image classification

URI

https://hdl.handle.net/11511/53408

Collections

Department of Mining Engineering, Conference / Seminar

Suggestions

OpenMETU
Core

Landuse change detection in a surface coal mine area using multi-temporal high-resolution satellite images Demirel, Nuray; Emil, Mustafa Kemal (2011-01-01) Surface mining activities, exploitation of ore, and stripping and dumping of the overburden cause changes in the land cover and land use of a mine area. The area of land disturbance can be very large in the case of surface coal mining, due to the nature of the coal extraction process. Sustainable mining requires continuous monitoring of changes in land cover and land use induced by the mining activities. This is essentially important for identifying the long-term impacts of mining on the environment and on ...
Surface coal mine area monitoring using multi-temporal high-resolution satellite imagery Demirel, Nuray; Duzgun, H. Sebnem (Elsevier BV, 2011-04-01) Surface mining activities, exploitation of ore and stripping and dumping overburden, cause changes on the land cover and land use of the mine area. Sustainable mining requires continuous monitoring of these changes to identify the long-term impacts of mining on environment and land cover to provide essential safety 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. There ar...
Soil contamination mapping for an abandoned coal mine site by using worldview 2 and aster imagery Soydan, Hilal; Düzgün, H. Şebnem; Department of Mining Engineering (2013) Being an indispensable economic and energy source, coal mining may be the cause of long term environmental damages like serious water and soil contamination due to inappropriate mining operations. In order to detect and avoid it, mapping the contamination levels related to mining industry has been a challenge for soil scientists to find the most appropriate and time and cost effective method for constructing soil contamination maps. So far, Remote Sensing (RS) and Geographical Information Systems (GIS) have...
Fan and pitch angle selection for efficient mine ventilation using analytical hierachy process and neuro fuzzy approach Taghizadeh Vahed, Amir; Demirel, Nuray; Güyagüler, Tevfik; Department of Mining Engineering (2012) Ventilation is a critical task in underground mining operation. Lack of a good ventilation system causes accumulation of harmful gases, explosions, and even fatalities. A proper ventilation system provides adequate fresh air to miners for a safe and comfortable working environment. Fans, which provide air flow to different faces of a mine, have great impact in ventilation systems. Thus, selection of appropriate fans for a mine is the acute task. Unsuitable selection of a fan decreases safety and production ...
Land use land cover change analysis of Afşin Elbistan coal basin with two different classification methods Arıcan, İlke; Düzgün, H. Şebnem; Department of Mining Engineering (2015) Surface coal mining is one of the most widespread energy and economic source for the communities and if implemented inappropriately, causes negative short and long term environmental, social and economic effects (such as loss of vegetation, migration, decreasing water resources, etc.). In order to detect, minimize and avoid all of these impacts, affected areas should be monitored and mapped, constantly. Monitoring surface mining activities by using land use land cover (LULC) maps is one of the effective met...

Citation Formats

N. Demirel and M. K. EMİL, “Landuse Change Detection in a Surface Coal Mine Area Using Multi Temporal High Resolution Satellite Images,” 2010, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/53408.