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Monitoring changes triggered by mining activities is crucial for industrial controlling, environmental management and regulatory compliance, yet it poses significant challenges due to the vast and often remote locations of mining sites. Remote sensing technologies have increasingly become indispensable to detect and analyze these …
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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.
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Remote sensing has emerged as a crucial tool for monitoring land degradation and its spatial patterns in mining regions. However, there are several …
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mining areas. Remote sensing data are also ideal for environmental impact assessment due to their broad spec-tral range, affordable cost, and rapid coverage of large areas. Synergistic use of remote sensing and ancillary data can be used to create a GIS database, which can be used to store, process, and retrieve the environmental data.
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Remote Sensing is an international, peer-reviewed, open access journal about the science and application of remote sensing technology, and is published semimonthly online by MDPI. The Remote Sensing Society of Japan (RSSJ) and the Japan Society of Photogrammetry and Remote Sensing (JSPRS) are affiliated with Remote Sensing, …
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Remote Sensing in the Mining Industry: An Overview. To tackle these issues and drive the mining industry forward toward a smarter, more sustainable future innovation will be required. Key technological advances require cutting-edge applications. Remote sensing has provided improvements in many vital areas of industry and …
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Remote sensing imagery for 2005 and 2010 from Landsat 5 TM and 2015 and 2020 images from Landsat 8 Operational Land Imager (OLI) were processed to determine changes in mining and non-mining areas, and a change detection analysis was performed to quantify the landcover change dynamics of mine and non-mine areas.
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Remote sensing can save time, money, and manpower in locating missing people. Crime detectives want to narrow down their search before they go on a quest. Remote sensing tools can explore the search area with a fine-tooth comb and pick up anomalies on the ground. This could include anything from a rabbit hole to the crime scene, itself.
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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.
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Deep convolutional neural network (CNN) achieves outstanding performance in the field of target detection. As one of the most typical targets in remote sensing images (RSIs), airport has attracted increasing attention in recent years. However, the essential challenge for using deep CNN to detect airport is the great imbalance between the number of …
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Remote sensing is the process of detecting and monitoring the physical characteristics of an area by measuring its reflected and emitted radiation at a distance (typically from satellite or aircraft). Special cameras collect remotely sensed images, which help researchers "sense" things about the Earth. Some examples are:Cameras on satellites and airplanes …
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Land cover changes due to mining are often distinguishable in satellite imagery, and indeed many studies have used remote sensing techniques to assess mining impacts (see Werner et al., 2019). These studies often focus on the issues and impacts of individual sites or regions, and while this knowledge is clearly important, the …
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Please use one of the following formats to cite this article in your essay, paper or report: APA. Davey, Reginald. (2022, September 25). Mapping Land and Cover Changes in Mining with Remote Sensing.
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The number of studies that utilize geographic information systems and remote sensing to study mining impacts increased from 2014 onwards. A framework was used to classify the mining impacts studied in the literature and all eight framework categories – Environment, Land, People, Community, Culture, Livelihoods, Infrastructure …
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Remote sensing has been applied for monitoring extensive mining environmental impacts on water bodies, including pollution sources and affected areas, and land use and land cover (LULC) changes ...
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Dew has been considered a supplementary water resource as it constitutes an important water supply in many ecosystems, especially in arid and semiarid areas. Remote sensing allows large-scale surface …
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Recent advances in remote sensing which are both non-intrusive and less time-consuming hold the potential to unlock a new paradigm of automated AMD analysis. Herein, we test the feasibility of …
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Remote sensing (RS) is a powerful tool that can be used to monitor the tailings storage facility; stockpile; mining and post-mining inducted ground deformations; open-pit mines; slope design; hydro-, …
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GIScience & Remote Sensing is a fully open access journal publishing original, peer-reviewed articles associated with geographic information systems (GIS), remote sensing of the environment (including digital image processing), geocomputation, spatial data mining, and geographic environmental modelling. Papers reflecting both …
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This paper systematically reviews 71 studies (1996–2021) that utilized spatially integrated approaches to evaluate socioeconomic mining impacts. The number …
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Environmental problems caused by extraction of minerals have long been a focus on environmental earth sciences. Vegetation growing conditions are an indirect indicator of the environmental problem in mining areas. A growing number of studies in recent years made substantial efforts to better utilize remote sensing for dynamic …
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Interpretation features for geological mining hazards in remote sensing imagery were built. Based on the analysis of location, color, and shape in high spatial resolution remote sensing imagery, interpretation features for landslides, landslips, surface collapses, and ground fissures in the study area were built.
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A subset of this research uses GIS and remote sensing methods to map the extent of land transformation due to mining activity3–9. These mapping exer-cises foster a more …
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Identification of Earth's hidden treasures is becoming increasingly difficult, owing to the continued depletion of easily accessible deposits and the social stigma surrounding mining activities.
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Pit Monitoring Tailings Dams Waste Piles Heap Leach Underground Mines Remote sensing provides a synoptic, site-wide monitoring solution for mitigating risk over active and abandoned mines. All mine assets can be regularly monitored to provide deformation maps and to detect slope and faults movement. Mine-Wide Movement and Asset Mapping …
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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 …
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Remote sensing in mining involves using satellite or aerial imagery to monitor and manage mineral exploration and production. Key applications include …
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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 impact, monitoring infrastructure health, and detecting illegal activities. This technology improves efficiency and …
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Remote sensing has various uses in fields like agriculture, forestry, and urban planning since it allows for fast data collection over large areas. ... Use Of Satellite Remote Sensing In The Mining Industry ; Change Detection In GIS And Areas Of Its Application ; Historical Satellite Images ; Natural Disasters 2021 On Satellite Imagery ;
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Here, we produce a global mining land use dataset via remote sensing analysis of high-resolution, publicly available satellite imagery. The dataset comprises 74,548 polygons, covering ~66,000...
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