scholarly journals Determination of the earth's surface deformations in the "Kiyzassky" open pit according to Sentinel-1 Data

2020 ◽  
Vol 223 ◽  
pp. 03010
Author(s):  
Leonid Mikov ◽  
Semion Popov
Keyword(s):  
Land Surface ◽  
Surface Displacement ◽  
Vertical Displacement ◽  
Radar Data ◽  
Open Pit ◽  
The Earth ◽  
Small Baseline Subset ◽  
Satellite Radar ◽  
Small Baseline

The paper deals with the issues of assessment of the condition and changes in the land surface on the territory of the Kiizassky open pit (Kemerovo region) because of the landslide that occurred in June 2019. The application of the multi-pass series of Sentinel-1 satellite radar data using the Small Baseline Subset (SBaS) method to determine the Earth surface displacement dynamics using constructed vertical displacement maps is demonstrated..

scholarly journals Calculation of vertical displacement of the earth surface in the “Vostochny” open pit using radar data

2021 ◽  
Author(s):  
L.S. Mikov ◽  
S.E. Popov ◽  
V.P. Potapov
Keyword(s):  
Land Surface ◽  
Surface Displacement ◽  
Vertical Displacement ◽  
Radar Data ◽  
Open Pit ◽  
Earth Surface ◽  
The Earth ◽  
Small Baseline Subset ◽  
Satellite Radar ◽  
Small Baseline

The paper deals with the issues of assessment of the condition and changes in the land surface on the territory of the Vostochny open pit (Kemerovo region). The application of the multi-pass series of Sentinel-1 satellite radar data using the Small Baseline Subset (SBaS) method to determine the Earth surface displacement dynamics using constructed vertical displacement maps is demonstrated.

scholarly journals Analysis of Mining Waste Dump Site Stability Based on Multiple Remote Sensing Technologies

2018 ◽  
Vol 10 (12) ◽  
pp. 2025 ◽  
Author(s):  
Lianhuan Wei ◽  
Yun Zhang ◽  
Zhanguo Zhao ◽  
Xiaoyu Zhong ◽  
Shanjun Liu ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Stability Analysis ◽  
Limit Equilibrium ◽  
Mining Waste ◽  
Open Pit ◽  
Dump Site ◽  
Spatial And Temporal Distributions ◽  
Small Baseline Subset ◽  
Small Baseline ◽  
Local Safety

The mining waste of open pit mines is usually piled-up in dump sites, making a man-made hill more than tens of meters high. Because of the loose structure of the dump sites, landslides or debris flow may occur after heavy rainfall, threatening local lives and properties. Therefore, dump stability analysis is crucial for ensuring local safety. In this paper, a collaborative stability analysis based on multiple remote sensing technologies was innovatively conducted at the Xudonggou dump of the Anqian iron mine. A small baseline subset (SBAS) analysis was used to derive the spatial and temporal distributions of displacements in the line-of sight (LOS) over the whole study area. The deformation in LOS is translated to the slope direction based on an assumption that displacements only occur parallel to the slope surface. Infrared Thermography (IRT) technology was used to detect weak aquifer layers located at the toe of possible landslide bodies. Then, numerical simulations based on the limit equilibrium method were conducted to calculate the factor of safety for three profiles located on the dump site. The results, emerging from multiple remote sensing technologies, were very consistent and, eventually, the landslide hazard zone of the Xudonggou dump site was outlined.

scholarly journals Multitemporal and Multisensor InSAR Analysis for Ground Displacement Field Assessment at Ischia Volcanic Island (Italy)

2021 ◽  
Vol 13 (21) ◽  
pp. 4253
Author(s):  
Lisa Beccaro ◽  
Cristiano Tolomei ◽  
Roberto Gianardi ◽  
Vincenzo Sepe ◽  
Marina Bisson ◽  
...  
Keyword(s):  
Time Series ◽  
Vertical Displacement ◽  
Slope Instability ◽  
Time Interval ◽  
Ground Displacement ◽  
Ground Deformations ◽  
Field Assessment ◽  
Small Baseline Subset ◽  
Volcanic Islands ◽  
Small Baseline

Volcanic islands are often affected by ground displacement such as slope instability, due to their peculiar morphology. This is the case of Ischia Island (Naples, Italy) dominated by the Mt. Epomeo (787 m a.s.l.), a volcano-tectonic horst located in the central portion of the island. This study aims to follow a long temporal evolution of ground deformations on the island through the interferometric analysis of satellite SAR data. Different datasets, acquired during Envisat, COSMO-SkyMed and Sentinel-1 satellite missions, are for the first time processed in order to obtain the island ground deformations during a time interval spanning 17 years, from November 2002 to December 2019. In detail, the multitemporal differential interferometry technique, named small baseline subset, is applied to produce the ground displacement maps and the associated displacement time series. The results, validated through the analysis and the comparison with a set of GPS measurements, show that the northwestern side of Mt. Epomeo is the sector of the island characterized by the highest subsidence movements (maximum vertical displacement of 218 mm) with velocities ranging from 10 to 20 mm/yr. Finally, the displacement time series allow us to correlate the measured ground deformations with the seismic swarm started with the Mw 3.9 earthquake that occurred on 21 August 2017. Such correlations highlight an acceleration of the ground, following the mainshock, characterized by a subsidence displacement rate of 0.12 mm/day that returned to pre-earthquake levels (0.03 mm/day) after 6 months from the event.

scholarly journals The Three-Segment Control and Measurement of Reliable Monitoring of the Deformation of the Rock Mass Surface and Engineering Structures on the Międzyodrze Islands in Szczecin, NW Poland

Geosciences ◽  
2020 ◽  
Vol 10 (5) ◽  
pp. 179
Author(s):  
Marek Zygmunt ◽  
Stefan Cacoń ◽  
Wojciech Milczarek ◽  
Józef Sanecki ◽  
Andrzej Piotrowski ◽  
...  
Keyword(s):  
Waste Disposal ◽  
Subsurface Layer ◽  
Radar Data ◽  
Research Area ◽  
Geological Structure ◽  
Engineering Structures ◽  
Vertical Movements ◽  
Reliable Monitoring ◽  
Small Baseline Subset ◽  
Small Baseline

The research area is located in north-western Poland. It is the city of Szczecin with a particular emphasis on the Międzyodrze islands. The area of the EcoGenerator Waste Disposal Plant is part of the research area. The analysis of the geological structure of the subsurface layer of Earth’s crust within Szczecin, was carried out with particular emphasis on the EcoGenerator Waste Disposal Plant. The analysis of height changes of the benchmarks, was based on archival materials measured in two campaigns. A detailed recognition of the geological structure in connection with the analysis of changes in the height of the benchmarks was important. This enabled stable benchmarks to be located in several areas of Szczecin. They formed the basis for reliable monitoring of surface deformations of organic and existing sediments within the EkoGenerator Plant. The application of an appropriate three segment control and measurement system. In the area around the EcoGenerator Plant, vertical movements of the area were observed using the InSAR Small Baseline Subset Method. An InSAR analysis is only used here for very broad identification of the moving area. The radar data came from Sentinel 1 A and 1 B satellites. A total of 129 images from 15.11.2014 to 28.07.2019 were used.The results of the analyses conducted, form the basis for discussion and act as a summary of the considerations in this paper.

Monitoring on land subsidence in reclaimed land with space-based synthetic aperture radar observations.

2021 ◽  
Author(s):  
Seo-Woo Park ◽  
Sang-Hoon Hong
Keyword(s):  
Synthetic Aperture Radar ◽  
Land Subsidence ◽  
Surface Displacement ◽  
Sar Interferometry ◽  
Synthetic Aperture ◽  
Alos Palsar ◽  
Reclaimed Land ◽  
Small Baseline Subset ◽  
Small Baseline ◽  
Aperture Radar

<p>Land subsidence is often occurred by compaction of alluvial sediments due to groundwater extraction and threatens invaluable lives and properties. Space-based interferometric Synthetic Aperture Radar (SAR) observation has been widely used to estimate surface displacement precisely. Especially, Small BAseline Subset (SBAS) technique with SAR Interferometry (InSAR) could serve to monitor a time-series of the land subsidence. In this study, the SBAS with L-band ALOS PALSAR and C-band Sentinel-1 observations have been applied to investigate the land subsidence in Noksan reclaimed land, Busan, South Korea. The average velocity showing the largest displacement is -3.40 cm/year from ALOS PALSAR and -2.17 cm/year with Sentinel-1 dataset at the line of sight (LOS) direction. An annual subsidence rate of -2.77 cm/year was estimated assuming that the surface has been deformed linearly for the data acquisition period.</p>

scholarly journals KAHROOD MONITORING USING SMALL BASELINE SUBSET SYNTHETIC APRETURE RADAR (SAR) INTERFEROMETRY

2015 ◽  
Vol XL-1-W5 ◽  
pp. 719-723
Author(s):  
A. Tavakkoli ◽  
M. Dehghani
Keyword(s):  
Time Series ◽  
Time Series Analysis ◽  
Land Surface ◽  
Deformation Rate ◽  
Sar Interferometry ◽  
Topographic Effects ◽  
Series Analysis ◽  
North East ◽  
Small Baseline Subset ◽  
Small Baseline

The area of Kahrood is a small village located in the north-east of Damavand in the center of the Alborz range, north of Iran. Kahrood is located in Haraz valley exactly below the land slide area. To monitor the temporal evolution of the landslide, the conventional small baseline subset (SBAS), a radar differential Synthetic Aperture Radar interferometry (DInSAR) algorithm is used for time-series analysis. 19 Interferograms characterized by small spatial and temporal baselines are generated using 14 images. In order to remove the topographic effects, a digital elevation model from the Shuttle Radar Topography Mission (SRTM), with a spatial resolution of 90 m, is used. In the time-series analysis the first image was selected as the temporal reference. In the least squares solution, in order to increase the number of observational equation as well as decrease the temporal fluctuations due to atmospheric and unwrapping errors, a smoothing constraint is incorporated into the inversion problem. We divide the deformation time-series into two main parts. The maximum deformation rate estimated from the first part of the time-series is estimated as 3.3 cm within the landslide area. According to the time series results the land surface is moving away from the satellite. The second part of the deformation time-series showed a small landslide rate up to 0.7 cm. According to the time series results the land surface is moving toward the satellite. The deformation is estimated along the Mean line of sight (LOS). Considering the whole time series, the maximum LOS deformation rate is estimated as 14 cm.

The information and computational system for the massive parallel processing of radar data based on Apache Spark framework

2018 ◽  
Author(s):  
В.П. Потапов ◽  
С.Е. Попов ◽  
М.А. Костылев
Keyword(s):  
Parallel Processing ◽  
High Performance ◽  
Surface Displacement ◽  
Radar Data ◽  
Computational System ◽  
Radar Images ◽  
The Earth ◽  
Persistent Scatterer ◽  
Massive Parallel Processing ◽  
Spark Framework

Рассмотрена задача создания информационно-вычислительной системы обработки радарных снимков с возможностью визуализации, конфигурирования и запуска алгоритмов основных этапов процессинга интерферометрических данных методом Persistent Scatterer в интеграции с MPP-системой (Massive Parallel Processing) для высокопроизводительного мониторинга смещений земной поверхности участков аэрокосмической съемки. Приведены основные схемы маршрутизации потоков данных исполнения заданий. Представлена программная реализация в виде веб-портала на базе компонентов ReactJS, включая автоматизированную загрузку и обновление базы данных радарных снимков Sentinel-1A посредством технологии RESTful API. The aim of the presented work is the development of an information computational system for processing radar images with the ability to visualize, configure and run algorithms for the main stages of processing interferometric data by the Persistent Scatterer method integrated with the MPP system (massive parallel processing) for high-performance monitoring of the Earth surface displacement of aerospace survey sites. As a result of the analysis of the different approaches used in the processing of radar data and the review of distributed computing technologies, a distributed information system based on the architecture of massively parallel execution of the Apache Hadoop ecosystem processes the streaming post-processing of radar images and the construction of a displacement map was proposed and implemented. A software implementation is presented in the form of a web portal based on ReactJS components, including automated downloading and updating of the Sentinel-1A radar image database using RESTful API technology. The innovation of suggested solution consists of the model of the interaction between developed processing modules based on the isolated execution context with HDFS data storage during the preparing procedure and the complete cycle for the processing of the Earth surface displacement. An integrated approach to the developing scalable front-end and back-end software complex components with the use of ReactJS, Redux and Apache Spark framework was used for the first time. Supporting of WPS specification makes it possible using almost any GIS, which works with this standard. The evaluation of a scientific and technological level of research shows high performance of the developed system while maintaining the results quality. In particular, the adapted and integrated ESA SNAP Toolbox returned identical arrays of processed interferometric data in the per-pixel comparison but the speed of the procedure is several times faster.

scholarly journals UAV Applications for Determination of Land Deformations Caused by Underground Mining

2020 ◽  
Vol 12 (11) ◽  
pp. 1733
Author(s):  
Paweł Ćwiąkała ◽  
Wojciech Gruszczyński ◽  
Tomasz Stoch ◽  
Edyta Puniach ◽  
Dawid Mrocheń ◽  
...  
Keyword(s):  
Land Surface ◽  
Surface Deformation ◽  
Underground Mining ◽  
Vertical Displacement ◽  
Deformation Monitoring ◽  
Case Scenario ◽  
Vegetation Growth ◽  
Vertical Displacements ◽  
Horizontal Displacements

This article presents a case study that demonstrates the applicability of unmanned aerial vehicle (UAV) photogrammetric data to land surface deformation monitoring in areas affected by underground mining. The results presented include data from two objects located in the Upper Silesian Coal Basin in Poland. The limits of coordinate and displacement accuracy are determined by comparing UAV-derived photogrammetric products to reference data. Vertical displacements are determined based on differences between digital surface models created using UAV imagery from several measurement series. Interpretation problems related to vegetation growth on the terrain surface that significantly affect vertical displacement error are pointed out. Horizontal displacements are determined based on points of observation lines established in the field for monitoring purposes, as well as based on scattered situational details. The use of this type of processing is limited by the need for unambiguous situational details with clear contours. Such details are easy to find in urbanized areas but difficult to find in fields and meadows. In addition, various types of discontinuous deformations are detected and their development over time is presented. The results are compared to forecasted land deformations. As a result of the data processing, it has been estimated that the accuracy of the determination of XY coordinates and the horizontal displacements (RMS) in best case scenario is on the level of 1.5–2 GSD, and about 2–3 GSD for heights and subsidence.

scholarly journals ANALYSIS OF THE GEOMETRY OF SURFACE DEFORMATIONS CAUSED BY INDUCED TREMORS IN THE AREA OF UNDERGROUND COPPER MINING

2020 ◽  
Vol V-3-2020 ◽  
pp. 149-156
Author(s):  
K. Owczarz ◽  
J. Blachowski
Keyword(s):  
Ground Deformation ◽  
Vertical Displacement ◽  
Radar Data ◽  
Seismic Events ◽  
Before And After ◽  
Temporal Intervals ◽  
Vertical Displacements ◽  
Sw Poland ◽  
Satellite Radar ◽  
Continuous Field

Abstract. Induced seismicity by human operations such as mining is usually unpredictable due to the sudden and unexpected character of this phenomenon. The effects of seismic events on the surface, i.e. ground deformation had been difficult to measure with traditional geodetic methods, which are based on discrete point observations and are carried out at temporal intervals and in fixed locations (e.g. levelling lines). Development of radar remote sensing (InSAR) techniques and proliferation of open satellite radar data such as Sentinel- 1 mission provides means that can now be successfully applied to investigate areas and ground movements affected by seismicity induced by mining. In this paper four induced seismic events with magnitudes from 4.5 to 4.8 that occurred between 16 December 2016 and 15 September 2018 in the Rudna underground copper mine area in SW Poland have been investigated with differential satellite radar interferometry (DInSAR). Based on the results of processing of 37 pairs of Sentinel-1 data captured before and after each of these events, deformation areas have been spatially localised and vertical displacement and extent of deformation have been calculated. The mean maximum vertical displacements range from −70 mm for the 4.5 magnitude tremor to −94 mm for the 4.8 magnitude event. Whereas, mean extent ranges from 1.5 km to 1.9 km in the W-E direction and from 1.8 km to 2.1 km in the N-S direction. A linear relation between magnitude of induced tremor and increase in vertical displacement and extent of the ground deformation has been established. Moreover, the results of this study indicate that InSAR is adequately accurate technique to analyse ground displacements caused by mining induced tremors and provides continuous field data on the geometry of the resulting deformation areas.

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