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Remote sensing is a non-invasive and safe method of data collection that does not require physical contact with the environment or infrastructure. 6. Helps in Better Decision Making. Remote sensing provides valuable data that can help in better decision making for infrastructure projects, such as site selection, design, and construction ...
Mining is of major economic, environmental and societal consequence, yet knowledge and understanding of its global footprint is still limited. Here, we produce a global …
97. Applications in Mining Industry. Remote sensing technology is also used in the mining industry to obtain accurate elevation data about the terrain and topography of mining sites. This information can be used to plan mining operations and to mitigate the risk of landslides and other geological events that can occur during mining operations.
Applications of remote sensing to mine recovery will be most effective when recovery targets are clearly defined and quantifiable from data collected before mining activity, per the Surface Mining Control and Reclamation Act of 1977 and similar laws. Additionally, the collected data would need to be accessible and maintained in databases for ...
Artisanal and small-scale mining (ASM) significantly influences the socio-economic development of many low-to-middle-income countries, albeit sometimes at the expense of environmental …
Remote sensing: an operational technology for the mining and petroleum industries Download book PDF. Download book EPUB. Overview Authors: Institution of Mining & Metallurgy; Institution of Mining & Metallurgy. View author publications. You can also ...
Remote sensing in mining involves using satellite or aerial imagery to monitor and manage mineral exploration and production. Key applications include identifying mineral deposits, assessing environmental …
Slonecker and Benger (2001) review earlier studies using remote sensing to examine mountaintop mining and valley fills, with particular reference to coal mining in Appalachia. Goparaju et al. (2017) review the use of GIS and RS approaches to examining the impacts of mines on forest ecosystems, with a particular emphasis on India. In addition ...
1.1 Mining activity and remote sensing. Mining comprises the activity that includes the extraction of geological materials from earth with tunnels, shafts or pits. Mining and mines can be classified in several ways. According to materials commonly mined, three classes of mining can be distinguished: metallic, non-metallic and fuel minerals.
Answer: b Explanation: Photons are the main constituent particles in the electromagnetic energy. The relation between velocity, wavelength and frequency is determined as λ = c / f, where λ represents wavelength, f is the frequency of the wave and c represents the velocity of the wave, which is equal to speed of light.
Conserving tropical forests is crucial for the environment and future of our climate. Tropical rainforests worldwide, including the Brazilian Legal Amazon (BLA), offer exceptional ecosystem services. However, the disturbances that have been occurring more frequently within them are endangering their key role in tackling climate change. An alternative approach for …
The Office of Surface Mining Reclamation and Enforcement (OSMRE) remote sensing program provides OSMRE offices, states, and Tribes with the necessary tools to use remote sensing technologies to support Titles IV (Abandoned Mine Lands) and V (Regulation of Current Mining) of the Surface Mining Control and Reclamation Act of 1977 (SMCRA). As part of this support, …
This paper systematically reviews 71 studies (1996–2021) that utilized spatially integrated approaches to evaluate socioeconomic mining impacts. The number of studies that utilize geographic information systems …
We identified 150 papers using Google Scholar with the following key phrases: "artisanal small-scale mining remote sensing", "artisanal small-scale mapping", and "small-scale mining identification and mapping", as of October 2022. We identified an additional eight papers in Scopus and the Web of Science (WoS) using the following ...
Domain adaptive segmentation has recently gained more and more attention in the remote sensing field. However, current methods often generate a significant number of uncertain examples, i.e., noisy pseudo-labels, in the target domain, which adversely affects model convergence. To solve this issue, an uncertain example mining network is proposed for …
The Mining Engineering Department faculty at the University of Utah are committed to preparing students for productive, life-long careers in mining and related industries or disciplines. ... Dr. Wempen is interested in research applying advanced remote sensing technologies, including satellite imaging and Unmanned Aerial Vehicle (UAV ...
The tested result indicates that the influence of dust retention on the pixel spectra with different FVCs was consistent with that created with the simulated data. The finding could be beneficial for those making decisions on monitoring vegetation under dusty conditions and reducing dust pollution in mining areas using remote sensing technology.
With this background in mind, in this Special Issue, we called for high-quality papers focusing on recent advancements in conventional statistical as well as machine learning techniques and modern AI (artificial intelligence)-driven technologies for efficient mining of remote sensing data.
Remote sensing mining scene classification is of great significance for the exploitation of mineral resources, the investigation and monitoring of reclaimed mining areas, and the evaluation of the mine area geological environment. However, remote sensing scene datasets on mines have not been collated within China or abroad, which restricts the ...
Mining produces several environmental, social, and economic impacts which can be analysed spatially using remote sensing (RS) and geographical information systems (GIS). …
We produce maps of 295 mines which represent the majority of current Cu, Au, Ag, PGE, Mo, Pb-Zn, Ni, U and diamond production. We delineate pits, waste rock dumps, tailings …
Interests: remote sensing information mining; large-scale surface water system mapping; night light remote sensing; flood disaster remote sensing. Dr. Xing Wang Dr. Xing Wang Scilit Preprints Google Scholar E-Mail Website Guest Editor. School of Marine Science and Technology, Tianjin University, Tianjin 300072, China ...
Few-shot Segmentation (FSS) aims to segment the interested objects in the query image with just a handful of labeled samples (i.e., support images). Previous schemes would leverage the similarity between support-query pixel pairs to construct the pixel-level semantic correlation. However, in remote sensing scenarios with extreme intra-class variations and …
Remote sensing is a non-invasive and safe method of data collection that does not require physical contact with the environment or infrastructure. 6. Helps in Better Decision Making. Remote sensing provides …
Artisanal-scale gold mining (ASGM) is a large cause of this deforestation and brings with it extensive environmental, social, governance, and public health impacts, including large carbon emissions and mercury pollution. ... This will …
remote sensing Review Remote Sensing of Mine Site Rehabilitation for Ecological Outcomes: A Global Systematic Review Phillip B. McKenna 1,*, Alex M. Lechner 2, Stuart Phinn 3 and Peter D. Erskine 1 1 Centre for Mined Land Rehabilitation, Sustainable Minerals Institute, The University of Queensland, Brisbane, QLD 4072, Australia; [email protected]
Mine Site Operational Assistance. Mine Geology, Grade Control, and Reconciliation ... Remote Sensing And Geophysics. We interpret remotely sensed data using a sound structural geological understanding to provide informed, integrated interpretations that can be directly applied to exploration targeting.
Remote Sensing in mine management Studies show that changes in the natural vegetation as a function of production rate were determined using the NDVI. Tucker 23 reported that the NDVI changes between -1.0 and +1.0 in general, and more specifically between +0.1 and +0.7. NDVI values were calculated using the (4–3) / (4+3) band ratio for ...
A guide for students and professionals, this introductory course book covers the basic principles of remote sensing and its applications in mine environment monitoring. Building from a reader's basic knowledge of mine monitoring, it …
Role of Remote Sensing in Detecting Illegal Mining. Remote sensing technology enables the identification and monitoring of illegal mining activities by capturing high-resolution images of the Earth's surface. Satellites equipped with sensors can detect changes in land cover, vegetation, and soil composition, indicative of mining activities.
Herein, we test the feasibility of remote sensing as a standalone tool to map AMD at various spatial resolutions and altitudes in water-impacted mining environments. This was achieved through the same-day collection of satellite-based simulated Sentinel-2 (S2) and PlanetScope (PS2.SD) imagery and drone-based UAV Nano-Hyperspec (UAV) imagery, in ...