scholarly journals GROUND DEFORMATION EXTRACTION USING VISIBLE IMAGES AND LIDAR DATA IN MINING AREA

2016 ◽  
Vol XLI-B7 ◽  
pp. 505-512 ◽  
Author(s):  
Wenmin Hu ◽  
Lixin Wu
Keyword(s):  
Time Series ◽  
High Resolution ◽  
Ground Deformation ◽  
Mining Area ◽  
Open Pit Mine ◽  
Space Distribution ◽  
Open Pit ◽  
Mining Activities ◽  
Study Results ◽  
The Mean

Recognition and extraction of mining ground deformation can help us understand the deformation process and space distribution, and estimate the deformation laws and trends. This study focuses on the application of ground deformation detection and extraction combining with high resolution visible stereo imagery, LiDAR observation point cloud data and historical data. The DEM in large mining area is generated using high-resolution satellite stereo images, and ground deformation is obtained through time series analysis combined with historical DEM data. Ground deformation caused by mining activities are detected and analyzed to explain the link between the regional ground deformation and local deformation. A district of covering 200 km<sup>2</sup> around the West Open Pit Mine in Fushun of Liaoning province, a city located in the Northeast China is chosen as the test area for example. Regional and local ground deformation from 2010 to 2015 time series are detected and extracted with DEMs derived from ZY-3 images and LiDAR point DEMs in the case study. Results show that the mean regional deformation is 7.1 m of rising elevation with RMS 9.6 m. Deformation of rising elevation and deformation of declining elevation couple together in local area. The area of higher elevation variation is 16.3 km<sup>2</sup> and the mean rising value is 35.8 m with RMS 15.7 m, while the deformation area of lower elevation variation is 6.8 km<sup>2</sup> and the mean declining value is 17.6 m with RMS 9.3 m. Moreover, local large deformation and regional slow deformation couple together, the deformation in local mining activities has expanded to the surrounding area, a large ground fracture with declining elevation has been detected and extracted in the south of West Open Pit Mine, the mean declining elevation of which is 23.1 m and covering about 2.3 km<sup>2</sup> till 2015. The results in this paper are preliminary currently; we are making efforts to improve more precision results with invariant ground control data for validation.

scholarly journals GROUND DEFORMATION EXTRACTION USING VISIBLE IMAGES AND LIDAR DATA IN MINING AREA

2016 ◽  
Vol XLI-B7 ◽  
pp. 505-512 ◽  
Author(s):  
Wenmin Hu ◽  
Lixin Wu
Keyword(s):  
Time Series ◽  
High Resolution ◽  
Ground Deformation ◽  
Mining Area ◽  
Open Pit Mine ◽  
Space Distribution ◽  
Open Pit ◽  
Mining Activities ◽  
Study Results ◽  
The Mean

Recognition and extraction of mining ground deformation can help us understand the deformation process and space distribution, and estimate the deformation laws and trends. This study focuses on the application of ground deformation detection and extraction combining with high resolution visible stereo imagery, LiDAR observation point cloud data and historical data. The DEM in large mining area is generated using high-resolution satellite stereo images, and ground deformation is obtained through time series analysis combined with historical DEM data. Ground deformation caused by mining activities are detected and analyzed to explain the link between the regional ground deformation and local deformation. A district of covering 200&thinsp;km<sup>2</sup> around the West Open Pit Mine in Fushun of Liaoning province, a city located in the Northeast China is chosen as the test area for example. Regional and local ground deformation from 2010 to 2015 time series are detected and extracted with DEMs derived from ZY-3 images and LiDAR point DEMs in the case study. Results show that the mean regional deformation is 7.1&thinsp;m of rising elevation with RMS 9.6&thinsp;m. Deformation of rising elevation and deformation of declining elevation couple together in local area. The area of higher elevation variation is 16.3&thinsp;km<sup>2</sup> and the mean rising value is 35.8&thinsp;m with RMS 15.7&thinsp;m, while the deformation area of lower elevation variation is 6.8&thinsp;km<sup>2</sup> and the mean declining value is 17.6&thinsp;m with RMS 9.3&thinsp;m. Moreover, local large deformation and regional slow deformation couple together, the deformation in local mining activities has expanded to the surrounding area, a large ground fracture with declining elevation has been detected and extracted in the south of West Open Pit Mine, the mean declining elevation of which is 23.1&thinsp;m and covering about 2.3&thinsp;km<sup>2</sup> till 2015. The results in this paper are preliminary currently; we are making efforts to improve more precision results with invariant ground control data for validation.

Activities of Musan Mine observed by Sentinel-1 Coherence Imagery

2020 ◽  
Author(s):  
Jihyun Moon ◽  
Heejeong Seo ◽  
Hoonyol Lee
Keyword(s):  
Time Series ◽  
Satellite Images ◽  
European Space Agency ◽  
Open Pit Mine ◽  
Mining Activity ◽  
Open Pit ◽  
Open Pit Mining ◽  
Series Data ◽  
Mining Activities ◽  
Mining Site

&lt;p&gt;Musan mine in North Korea is the largest open-pit iron mine in Asia with the proved reserves of about 2.06 billion tons and more than 9 square kilometers. Open-pit mining is one of the surface mining technique extracting minerals from the surface. Vegetation is rarely distributed at the mining site because the topsoil is removed and the ore is mined directly from the surface. Therefore, it is effective to observe surface displacement at the mining site using Interferometric Synthetic Aperture Radar (InSAR) technology. InSAR coherence detects random surface change that measures the activity or stability of the interferometric phase of InSAR data. High coherence will be maintained on the surface where there is no movement and only surface scattering. On the other hand, the surface where there is a lot of movement and volumetric scattering has low coherence value. Therefore, using 12-days InSAR coherence images from Sentinel-1 satellites, for example, it is possible to analyze how active the open-pit mine is during the 12 days. Sentinel-1A satellite images were acquired from June 11, 2015 to May 24, 2016, followed by Sentine-1B satellite images from September 27, 2016 to April 21, 2019. A total of 102 SAR images were downloaded from European Space Agency (ESA) portal. There is a gap between May 24 and September 27, 2016 due to the transition of the data acquisition plan. Over 100 12-days coherence data were obtained by applying InSAR. Stable spots and target spots were selected through average and standard deviation of the entire coherence time series data. Coherence values include not only the mining activity but also the effects of perpendicular baseline, temporal baseline, and weather. Therefore, NDAI (Normalized Difference Activity Index) was newly defined to remove the noise and only the coherence value due to the influence of the mining activity was extracted. The degree of activities can be observed by the time series coherence and NDAI images. This study needs other references related to mining activities in order to analyze the mining activities in more detail. This method can be applied to other open-pit mine.&lt;/p&gt;

scholarly journals Monitoring Mining Activities Using Sentinel-1A InSAR Coherence in Open-Pit Coal Mines

2021 ◽  
Vol 13 (21) ◽  
pp. 4485
Author(s):  
Lili Wang ◽  
Liao Yang ◽  
Weisheng Wang ◽  
Baili Chen ◽  
Xiaolin Sun
Keyword(s):  
Time Series ◽  
Coal Mines ◽  
Mining Area ◽  
Open Pit ◽  
Mining Activities ◽  
Mining Operations ◽  
Open Pit Mines ◽  
Bare Rock ◽  
Mining Areas ◽  
Illegal Mining

Long-term continuous monitoring of the mining activities in open-pit coal mines is conducive to planning and management of the mining operations. Additionally, this faciliatates assessment on their environmental impact and supervises illegal mining behaviors. Interferometric Synthetic Aperture Radar (InSAR) technology can be effectively applied in the monitoring of open-pit mines where vegetation is sparse and land cover is dominated by bare rock. The main objective of this study is to monitor the mining activities of four open-pit coal mines in the Wucaiwan mining area in China from 2018 to 2020, namely No. 1, No. 2 (containing two mining areas), and No. 3. We use the normalized differential activity index (NDAI) based on the coherence coefficient as an indicator of the mine activity due to its robustness to temporal and spatial decorrelation. After analyzing and removing the decorrelation caused by rain and snow weather, 70 NDAI images in 12-day intervals are obtained from Sentinel-1A InSAR coherence images. Then, the annually-averaged NDAI images are applied to an RGB composite technique (red for 2018, green for 2019, blue for 2020) to express the interannual variation of the mining activities. Points of interest are then selected for NDAI time series analysis. The RGB composite results indicated that No. 1 and 3 open-pit coal mines were continuously mined during the three years; whereas, the two mining areas of No. 2 were mainly active in 2018. The 12-day NDAI time-series graphs of No. 2 open-pit coal mine also indicate that the coal piles located in the coal transferring area of the first mining area were not completely removed until April 2019. It is also seen that the second mining area was decommissioned in November 2018 and became rehabilitated in July 2019. Results were validated using the Sentinel-2A images and related background information confirming the efficiency of the proposed approach for monitoring the mining activity in open-pit mines.

scholarly journals IKONOS High-resolution Satellite Imagery and Its Potential in Open-pit Mine Management.

2001 ◽  
Vol 12 (4) ◽  
pp. 211-217
Author(s):  
Makoto OMURA ◽  
Toshihide ITO ◽  
Ryuichi KIMURA ◽  
Takashi NISHIYAMA
Keyword(s):  
High Resolution ◽  
Satellite Imagery ◽  
Open Pit Mine ◽  
Open Pit ◽  
High Resolution Satellite Imagery

Open-Pit Mine Fine DEM Model Establishment and Updating

2012 ◽  
Vol 524-527 ◽  
pp. 508-514
Author(s):  
Ai Gong Xu ◽  
Yang Cui ◽  
Xin Sui
Keyword(s):  
Spatial Data ◽  
Model Updating ◽  
Mining Area ◽  
Open Pit Mine ◽  
Open Pit ◽  
Improved Method ◽  
Generation Algorithm ◽  
Topological Relationships ◽  
Model Update ◽  
Dem Model

In view of open-pit mine complex special terrain, to improved method of constructing triangulated irregular net and combined with the extended boundary, that can remission the phenomenon that steps were flattened and the problem of inefficiency mining area model update. Using constrained triangulated irregular net once generation algorithm, through extraction of spatial data, establish topological relationships and spatial indexing, eventually build a constraints of triangulated irregular net within the boundary constraint line. Combining extended boundary with the triangulated irregular net generated algorithm, can realize the establishment partial model as well as partial and overall model splicing. Thus enhanced the efficiency of the mining area overall model updating.

scholarly journals Study on shaping slope stability of dump in eastern grassland open-pit mine

2020 ◽  
Vol 194 ◽  
pp. 04043
Author(s):  
Guo Xiaoli ◽  
Yan Jiancheng ◽  
Li Xueliang ◽  
Wen Xin ◽  
Li Xingli
Keyword(s):  
Slope Stability ◽  
Slope Angle ◽  
Mining Area ◽  
Open Pit Mine ◽  
Open Pit ◽  
Open Pit Mining ◽  
Dump Slope ◽  
The Stability ◽  
Step Type ◽  
Mine Dump

The dumps in the open-pit mining area in the eastern grassland are prone to landslides due to the fragile ecological environment, so it is inevitable to reshape the dump slopes. In order to explore a more scientific method for slope shaping of open-pit mine dump, slope stability analysis were used to compare effect of three types of slope-type (wave-shaped, slope-shaped and step-shaped slope shaping method)in outside dumping site of Baori Hiller open-pit mine. The results show that the slope stability is negatively correlated with the slope angle, and the stability of different shaping slopes is realized as wave-shaped slope (F=2.711)> Slope-shaped slope(F=2.513)>Step-shaped slope(F=1.047), in which the wave type and slope type are all within the safe range, but the step type slope is unstable; in consideration of cost, stability and erosion resistance, it is better to set the slope angle of the dump to 15°.The wave-shaped shaping method of the natural dumping of the excavation field outside the Baori Hiller open-pit mine has the best effect and is worth promoting.

An Application of Stored Procedures in a GPS-Based Slope Online Monitoring System for Open-Pit Mine

2013 ◽  
Vol 351-352 ◽  
pp. 1193-1197
Author(s):  
Zhen Shan Liu ◽  
Ren Qiang Gao ◽  
Ming Chen ◽  
Hai Sheng Yang ◽  
Qi Wang ◽  
...  
Keyword(s):  
Monitoring System ◽  
High Performance ◽  
Online Monitoring ◽  
Mining Area ◽  
Open Pit Mine ◽  
Open Pit ◽  
Stored Procedure ◽  
Static Data ◽  
High Efficient ◽  
Online Monitoring System

As for implementing functions in slope online monitoring system by exploiting data acquired via GPS, good and high efficient stored procedures are essential. More importantly, a good designed stored procedure can simultaneously provide decision services for multiple users. By integrating the Client/Server and Browser/Server subsystems, this system explores a much convenient and automatic way to manages the mining area. 18 database tables are designed to support the database operation, such as the GPSSTATICRESULT table that storeds accurate static data and the STATIONINFO table that records all equipment information. Moreover, the design and implementation of stored procedures is analysed to flexibly support complicated system functions. The results indicate that system working with stored procedures has high performance on applications open-pit mine. The results not only confirmed the applicability and effectiveness of stored procedures, but also revealed system with stored procedures has advantages of conveniently managing mining data, timely sending real-time monitoring information, optimizing security of mine production and making auxiliary decision for enterprise.

Using time series InSAR to assess the deformation activity of open-pit mine dump site in severe cold area

2021 ◽  
Author(s):  
Chuangang Gong ◽  
Shaogang Lei ◽  
Zhengfu Bian ◽  
Yu Tian ◽  
Zhouai Zhang ◽  
...  
Keyword(s):  
Time Series ◽  
Open Pit Mine ◽  
Open Pit ◽  
Dump Site ◽  
Cold Area ◽  
Mine Dump
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