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Relevant bibliographies by topics / Mine surveying radar

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Academic literature on the topic 'Mine surveying radar'

Author: Grafiati

Published: 4 June 2021

Last updated: 2 February 2022

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Journal articles on the topic "Mine surveying radar"

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Ulytsky, Oleg, and Kateryna Boiko. "RSE-based flooding prediction within territories of closed coal mines of Ukraine." Ukrainian journal of remote sensing 8, no. 1 (2021): 18–25. http://dx.doi.org/10.36023/ujrs.2021.8.1.188.

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The article highlights the aspects of RSE technologies adaptation during the forward hydrogeological predictions development and for the purposes of the surface flooding zones spreading estimation within coal-mines fields, being flooded. Previously developed numerical geofiltration model allows to return filtration settings of the massif of rocks, that was broken due to coal extraction, and to identify the influence features of the mine workings flooding regime on the general hydrodynamic settings around the flooded mines. As a result of geofiltration modeling the forecast cartographic scheme

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Malinowska, Agnieszka A., Wojciech T. Witkowski, Artur Guzy, and Ryszard Hejmanowski. "Satellite-Based Monitoring and Modeling of Ground Movements Caused by Water Rebound." Remote Sensing 12, no. 11 (2020): 1786. http://dx.doi.org/10.3390/rs12111786.

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The presented research aimed to evaluate the spatio-temporal distribution of ground movements caused by groundwater head changes induced by mining. The research was carried out in the area of one of the copper ore and anhydrite mines in Poland. To determine ground movements, classical surveying results and the persistent scatter Satellite Radar Interferometry (PSInSAR) method were applied. The mining operation triggered significant subsidence, reaching 1.4 m in the years 1944–2015. However, subsidence caused by groundwater pumping was about 0.3 m. After mine closure, an ongoing groundwater reb

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Greenhalgh, Stewart A., Iain M. Mason, and Cvetan Sinadinovski. "In‐mine seismic delineation of mineralization and rock structure." GEOPHYSICS 65, no. 6 (2000): 1908–19. http://dx.doi.org/10.1190/1.1444875.

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Significant progress has been made towards the goal of generating detailed seismic images as an aid to mine planning and exploration at the Kambalda nickel mines of Western Australia. Crosshole and vertical‐seismic‐profiling instrumentation, including a slimline multi‐element hydrophone array, three‐component geophone sensors, and a multishot detonator sound source, have been developed along with special seismic imaging software to map rock structure. Seismic trials at the Hunt underground mine established that high frequency (> 1 kHz) signals can be propagated over distances of tens of met

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PONOMARENKO, Mariya Ruslanovna, and Yuriy Ivanovich KUTEPOV. "Using the typification of mining-engineering facilities to substantiate deformation monitoring of opencast mining." NEWS of the Ural State Mining University, no. 4 (December 20, 2020): 115–22. http://dx.doi.org/10.21440/2307-2091-2020-4-115-122.

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To date, in the field of monitoring deformations of the earth’s surface in the area of opencast mining, there is almost no current regulatory and methodological documentation that regulates the conduct of observations and at the same time takes into account the features of existing mining facilities of opencast mining and the possibilities of modern survey technologies. The paper gives an approach to determining a set of methods for deformation monitoring within the territory of mining enterprises engaged in open-pit mining, based on the results of the typification of mining facilities. The de

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VAN ANH, Tran, Xuan-Nam BUI, Nguyen QUOC LONG, and Tran TRUNG ANH. "Land Subsidence Detection in Tan My-Thuong Tan Open Pit Mine and Surrounding Areas by Time Series of Sentinel-1 Images." Inżynieria Mineralna 1, no. 2 (2020). http://dx.doi.org/10.29227/im-2020-02-22.

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Open-pit or underground mining both causes environmental impacts such as air, soil, water pollution, etc., especially causing land subsidence of mines and surrounding areas. Research on mining subsidence is often carried out by field survey, the advantage of this method is high accuracy, but it is usually applied in a small scale. Recently, with the development of radar technology, there have been many studies applying this Radar Interferometry technique to determine surface subsidence over a wide range with a few millimeters accuracy. In this paper, 24 Sentinel-1 images were used as input mat

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"Detection and classification of landmines using UWB antenna system and ANN analysis." Visnyk of V.N. Karazin Kharkiv National University, series “Radio Physics and Electronics”, no. 33 (2020). http://dx.doi.org/10.26565/2311-0872-2020-33-01.

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Background: The problem of detecting underground objects is found in many areas of human activity in the modern world, for example, a quick survey of the territory for the presence of underground utilities for earthworks, finding the location of grounding structures, cable breakage or short circuit, remote sensing for detecting and mapping of archaeological objects. The issue of humanitarian demining in Donetsk and Lugansk regions is also important in Ukraine. The latest ground surveying devices, such as ultrawideband subsurface radar, have already come to the aid for military sappers in devel

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Dissertations / Theses on the topic "Mine surveying radar"

1

Rossouw, Emile Francois. "A georeferencing method for an open-pit mine surveying radar." Thesis, Stellenbosch : Stellenbosch University, 2011. http://hdl.handle.net/10019.1/6907.

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Thesis (MSc)--Stellenbosch University, 2011.<br>ENGLISH ABSTRACT: Ground-based mobile mine survey radars are much more common now than they were a few years ago. Their ever growing popularity instigated the need for streamlining their operating procedures. One such a procedure is that of georeferencing the radar within the mine coordinate frame. Mine surveying radars have traditionally been georeferenced using a triangulation technique called survey resectioning, a time consuming process where both models are placed within the common coordinate frame by tying the models together with kno

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