scholarly journals Monitoring of surface deformation in open pit mine using DInSAR time-series: a case study in the N5W iron mine (Carajás, Brazil) using TerraSAR-X data

2014 ◽  
Author(s):  
José C. Mura ◽  
Waldir R. Paradella ◽  
Fabio F. Gama ◽  
Athos R. Santos ◽  
Mauricio Galo ◽  
...  
Keyword(s):  
Time Series ◽  
Surface Deformation ◽  
Open Pit Mine ◽  
Open Pit ◽  
Iron Mine

scholarly journals Analysis of Activity in an Open-Pit Mine by Using InSAR Coherence-Based Normalized Difference Activity Index

2021 ◽  
Vol 13 (9) ◽  
pp. 1861
Author(s):  
Jihyun Moon ◽  
Hoonyol Lee
Keyword(s):  
Time Series ◽  
Activity Index ◽  
Color Pattern ◽  
Open Pit Mine ◽  
Open Pit ◽  
Interferometric Synthetic Aperture Radar ◽  
Open Pit Mines ◽  
In Situ Data ◽  
Iron Mine

In this study, time-series of Sentinel-1A/B Interferometric Synthetic Aperture Radar (InSAR) coherence images were used to monitor the mining activity of Musan open-pit mine, the largest iron mine in North Korea. First, the subtraction of SRTM DEM (2000) from TanDEM-X DEM (2010–2015) has identified two major accumulation areas, one in the east (+112.33 m) and the other in the west (+84.03 m), and a major excavation area (−42.54 m) at the center of the mine. A total of 89 high-quality coherence images with a 12-day baseline from 2015 to 2020 were converted to the normalized difference activity index (NDAI), a newly developed activity indicator robust to spatial and temporal decorrelation. An RGB composite of annually averaged NDAI maps (red for 2019, green for 2018, and blue for 2017) showed that overall activity has diminished since 2018. Dumping slopes were categorized into shrinking, expanding, or transitional, according to the color pattern. Migration and expansion of excavation sites were also found on the pit floor. Time series of 12-day NDAI graphs revealed the date of activities with monthly accuracy. It is believed that NDAI with continuous acquisition of Sentinel-1A/B data can provide detailed monitoring of various types of activities in open-pit mines especially with limited in situ data.

scholarly journals Rules of Risk Management - Case Study of Open Pit Mine

2020 ◽  
Vol 28 ◽  
pp. 764-769
Author(s):  
Snezana Kirin ◽  
Wei Li ◽  
Miodrag Brzaković ◽  
Igor Miljanović ◽  
Aleksandar Sedmak
Keyword(s):  
Risk Management ◽  
Open Pit Mine ◽  
Open Pit ◽  
Management Case Study

Evaluation and monitoring an on-going landslide in volcanic sediments – a case study for an open pit mine, Turkey: Part 1

2004 ◽  
Vol 113 (3) ◽  
pp. 163-170
Author(s):  
A. H. Onur ◽  
G. Konak ◽  
Y. Koca ◽  
H. Yenice ◽  
H. Köse ◽  
...  
Keyword(s):  
Open Pit Mine ◽  
Open Pit ◽  
Evaluation And Monitoring

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

<p>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.</p>

scholarly journals The Integration of TLS and Continuous GPS to Study Landslide Deformation: A Case Study in Puerto Rico

2011 ◽  
Vol 1 (1) ◽  
pp. 25-34 ◽  
Author(s):  
G. Wang ◽  
D. Philips ◽  
J. Joyce ◽  
F. Rivera
Keyword(s):  
Time Series ◽  
Puerto Rico ◽  
Laser Scanning ◽  
Surface Deformation ◽  
Retaining Wall ◽  
National Forest ◽  
Data Sets ◽  
Landslide Deformation ◽  
Continuous Gps

The Integration of TLS and Continuous GPS to Study Landslide Deformation: A Case Study in Puerto RicoTerrestrial Laser Scanning (TLS) and Global Positioning System (GPS) technologies provide comprehensive information on ground surface deformation in both spatial and temporal domains. These two data sets are critical inputs for geometric and kinematic modeling of landslides. This paper demonstrates an integrated approach in the application of TLS and continuous GPS (CGPS) data sets to the study of an active landslide on a steep mountain slope in the El Yunque National Forest in Puerto Rico. Major displacements of this landslide in 2004 and 2005 caused the closing of one of three remaining access roads to the national forest. A retaining wall was constructed in 2009 to restrain the landslide and allow the road reopen. However, renewed displacements of the landslide in the first half of 2010 resulted in deformation and the eventual rupture of the retaining wall. Continuous GPS monitoring and two TLS campaigns were performed on the lower portion of the landslide over a three-month period from May to August 2010. The TLS data sets identified the limits and total volume of themoving mass, while the GPS data quantified the magnitude and direction of the displacements. A continuous heavy rainfall in late July 2010 triggered a rapid 2-3 meter displacement of the landslide that finally ruptured the retaining wall. The displacement time series of the rapid displacement is modeled using a fling-step pulse from which precise velocity and acceleration time series of the displacement are derived. The data acquired in this study have demonstrated the effectiveness and power of the integrating TLS and continuous GPS techniques for landslide studies.

Sign in / Sign up

Export Citation Format

Share Document