scholarly journals Delineation of Open-Pit Mining Boundaries on Multispectral Imagery

2020 ◽  
Author(s):  
Ioannis Kotaridis ◽  
Maria Lazaridou
Keyword(s):  
Land Cover ◽  
Mean Shift ◽  
Mining Area ◽  
Open Pit ◽  
Open Pit Mining ◽  
Common Procedure ◽  
Mining Areas ◽  
Object Based ◽  
The Many ◽  
Parameter Values

During the last decades, monitoring the spatial growth of open-pit mining areas has become a common procedure in an effort to comprehend the influence that mining activities have on the adjacent land-use/land-cover types. Various case studies have been presented, focusing on land-cover mapping of complex mining landscapes. They highlight that a rapid as well as accurate approach is critical. This paper presents a methodological framework for a rapid delineation of open-pit mining area boundaries. For that purpose an Object-Based Image Analysis (OBIA) methodology is implemented. Sentinel-2 data were obtained and the Mean-Shift segmentation algorithm was employed. Among the many methods that have been presented in literature in order to evaluate the performance of an image segmentation, an unsupervised approach is carried out. A quantitative evaluation of segmentation accuracy leads to a more targeted selection of segmentation parameter values and as a consequence is of utmost importance. The proposed methodology was mainly conducted through python scripts and may constitute a guide for relevant studies.

scholarly journals A Multi-Level Output-Based DBN Model for Fine Classification of Complex Geo-Environments Area Using Ziyuan-3 TMS Imagery

Sensors ◽  
2021 ◽  
Vol 21 (6) ◽  
pp. 2089
Author(s):  
Meng Li ◽  
Zhuang Tang ◽  
Wei Tong ◽  
Xianju Li ◽  
Weitao Chen ◽  
...  
Keyword(s):  
Land Cover ◽  
Mining Area ◽  
Open Pit ◽  
Open Pit Mining ◽  
Fine Scale ◽  
Land Cover Types ◽  
Mining Areas ◽  
Sample Data ◽  
Multi Level ◽  
Fine Classification

Fine-scale land use and land cover (LULC) data in a mining area are helpful for the smart supervision of mining activities. However, the complex landscape of open-pit mining areas severely restricts the classification accuracy. Although deep learning (DL) algorithms have the ability to extract informative features, they require large amounts of sample data. As a result, the design of more interpretable DL models with lower sample demand is highly important. In this study, a novel multi-level output-based deep belief network (DBN-ML) model was developed based on Ziyuan-3 imagery, which was applied for fine classification in an open-pit mine area of Wuhan City. First, the last DBN layer was used to output fine-scale land cover types. Then, one of the front DBN layers outputted the first-level land cover types. The coarse classification was easier and fewer DBN layers were sufficient. Finally, these two losses were weighted to optimize the DBN-ML model. As the first-level class provided a larger amount of additional sample data with no extra cost, the multi-level output strategy enhanced the robustness of the DBN-ML model. The proposed model produces an overall accuracy of 95.10% and an F1-score of 95.07%, outperforming some other models.

scholarly journals Dust Dispersion and Its Effect on Vegetation Spectra at Canopy and Pixel Scales in an Open-Pit Mining Area

2020 ◽  
Vol 12 (22) ◽  
pp. 3759
Author(s):  
Baodong Ma ◽  
Xuexin Li ◽  
Ziwei Jiang ◽  
Ruiliang Pu ◽  
Aiman Liang ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Mining Area ◽  
Open Pit ◽  
Open Pit Mining ◽  
Vegetation Canopy ◽  
Dust Pollution ◽  
Mining Areas ◽  
Dust Effect ◽  
Dust Dispersion ◽  
Pixel Scale

Dust pollution is severe in some mining areas in China due to rapid industrial development. Dust deposited on the vegetation canopy may change its spectra. However, a relationship between canopy spectra and dust amount has not been quantitatively studied, and a pixel-scale condition for remote sensing application has not been considered yet. In this study, the dust dispersion characteristics in an iron mining area were investigated using the American Meteorological Society (AMS) and the U.S. Environmental Protection Agency (EPA) regulatory model (AERMOD). Further, based on the three-dimensional discrete anisotropic radiative transfer (DART) model, the spectral characteristics of vegetation canopy under the dusty condition were simulated, and the influence of dustfall on vegetation canopy spectra was studied. Finally, the dust effect on vegetation spectra at the canopy scale was extended to a pixel scale, and the response of dust effect on vegetation spectra at the pixel scale was determined under different fractional vegetation covers (FVCs). The experimental results show that the dust pollution along a haul road was more severe and extensive than that in a stope. Taking dust dispersion along the road as an example, the variation of vegetation canopy spectra increased with the height of dust deposited on the vegetation canopy. At the pixel scale, a lower vegetation FVC would weaken the influence of dust on the spectra. The results derived from simulation spectral data were tested using satellite remote sensing images. 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.

scholarly journals Features of new sites designing on quarry fields of the existing open pit mines of Kuzbass

2020 ◽  
Vol 174 ◽  
pp. 01003
Author(s):  
Eugene Plotnikov ◽  
Valery Kolesnikov ◽  
Zuzana Šimková ◽  
Nuray Demirel
Keyword(s):  
Mining Area ◽  
Production Costs ◽  
Underground Mines ◽  
Open Pit ◽  
Open Pit Mining ◽  
Residential Areas ◽  
Mining Operations ◽  
Surface Mine ◽  
Open Pit Mines ◽  
Mining Areas

At a number of large open pit mines in Kuzbass, coal production costs have increased due to the deepening of mining operations. In order to reduce them, separate sections of coal mining at the upper horizons are operating or are being designed for mining at low current stripping ratio. For the same purpose, open-pit mining areas at the fields of existing quarries are operated and designed. Examples of such existing and projected areas are: the “Complex Synclinal” area at the Krasnobrodsky surface mine; the “Prirezka” area at the Chernigovsky surface mine; a number open-pit areas at the underground mines; etc. The main factors complicating the involvement in the development of new sites are: the presence of residential areas, industrial buildings and structures near the boundaries of the mining area; power supply lines, transport communications, which limits or excludes the production of mass explosions in the preparation of overburden for excavation; limited size or lack of areas for external dumps at a short distance from the site (in some cases, it is possible to close the mined-out space of the worked-out quarry field). When designing the development of areas characterized by such conditions, it is necessary to consider the application of new technical and technological solutions.

scholarly journals INSAR COLLABORATIVE MONITORING MODE AND MULTI-MODE COMPUTING SERVICES FOR GEOHAZARDS IDENTIFICATION IN OPEN-PIT MINING AREA

2021 ◽  
Vol XLIII-B1-2021 ◽  
pp. 241-247
Author(s):  
J. Zhang
Keyword(s):  
Time Series ◽  
Surface Deformation ◽  
Underground Mining ◽  
Mining Area ◽  
Deformation Monitoring ◽  
High Density ◽  
Open Pit ◽  
Open Pit Mining ◽  
Mining Areas ◽  
Wide Range

Abstract. InSAR has developed a variety of methods, such as D-InSAR, PS-InSAR, MBAS, CT, SqueeSAR, POT, etc., which have been widely used in land subsidence monitoring. For open pit mining areas, there are usually mining activity, complex terrain features, low coherence, and local large deformation gradients, which makes it difficult for time series InSAR technology to obtain high-density surface deformation information in open pit mining areas. Traditional methods usually only monitor the linear deformation of the surface caused by the mining of a few working zone above the underground mining area, and the temporal and spatial resolution is lower. How to obtain high-precision, high-density, and time-sensitive deformation information is the main difficulty of InSAR monitoring in open pit mining areas. Make full use of the geosensor network monitoring system, optimize monitoring mode of collaborated satellite-to-ground based InSAR, further realize whole calculation and geographic information services, to achieve early identification and discovery of abnormal in large-area macro-monitoring, and accurate monitoring of local areas in real-time early warning, which is the development direction of ground deformation monitoring of mining areas. The study area is Pingshuo open pit mining area. we fully study the application mode and services of InSAR monitoring for geohazards in open-pit mining area, through the establishment of satellite InSAR technology system for large-scale macro-monitoring and forecasting, and GBSAR and GSN for local precision monitoring. The effective mode of InSAR monitoring of geohazard in open-pit mines is summarized. A combination of D-InSAR, POT (Pixel offset tracking), Time Series-InSAR and GB-SAR is used in a wide range, and high-resolution optical images are used to identify localized changes in subsidence areas and open-pit mining areas.

scholarly journals Concept and Practice of Open-pit Mining Area Restoration and Reuse --- Taking an Open-pit Coal Mining Area in Datong, Shanxi as an Example

2020 ◽  
Vol 145 ◽  
pp. 02014
Author(s):  
Huang Jiayin ◽  
Hu Baoan ◽  
Tan Xiangjun ◽  
Cheng Jin ◽  
Li Long
Keyword(s):  
Coal Mine ◽  
Geographical Location ◽  
Mining Area ◽  
Cultural Tourism ◽  
Open Pit ◽  
Open Pit Mining ◽  
Mining Areas ◽  
Coal Mining Area ◽  
Rural Revitalization ◽  
Mining Coal

The restoration of open-pit mining coal mine areas is imminent, and it is of great significance to put forward a set of reasonable restoration concepts. According to the geographical location and economic conditions of the mining areas, this paper combines multiple restoration concepts and measures such as “fundamental reforestation”, “near-natural restoration”, “introduction of agricultural and forestry industries” and “development of cultural tourism in abandoned land” in a scientific way, the combination has been successfully applied in the restoration and comprehensive utilization project in an open-pit coal mine area in Datong, Shanxi, China. This concept realizes the reuse of abandoned open-pit coal mines and closely follows the national strategy of poverty alleviation and rural revitalization, in pursuit of the national vision of “clear waters and green mountains are mountains of gold and silver.”

scholarly journals Fine Land Cover Classification in an Open Pit Mining Area Using Optimized Support Vector Machine and WorldView-3 Imagery

2019 ◽  
Vol 12 (1) ◽  
pp. 82 ◽  
Author(s):  
Weitao Chen ◽  
Xianju Li ◽  
Lizhe Wang
Keyword(s):  
Remote Sensing ◽  
Land Cover ◽  
Classification Accuracy ◽  
Optimization Methods ◽  
Land Cover Classification ◽  
Mining Area ◽  
Open Pit ◽  
Open Pit Mining ◽  
Support Vector ◽  
Carbonate Index

Fine land cover classification in an open pit mining area (LCCOM) is essential in analyzing the terrestrial environment. However, researchers have been focusing on obtaining coarse LCCOM while using high spatial resolution remote sensing data and machine learning algorithms. Although support vector machines (SVM) have been successfully used in the remote sensing community, achieving a high classification accuracy of fine LCCOM using SVM remains difficult because of two factors. One is the lack of significant features for efficiently describing unique terrestrial characteristics of open pit mining areas and another is the lack of an optimized strategy to obtain suitable SVM parameters. This study attempted to address these two issues. Firstly, a novel carbonate index that was based on WorldView-3 was proposed and introduced into the used feature set. Additionally, three optimization methods—genetic algorithm (GA), k-fold cross validation (CV), and particle swarm optimization (PSO)—were used for obtaining the optimization parameters of SVM. The results show that the carbonate index was effective for distinguishing the dumping ground from other open pit mining lands. Furthermore, the three optimization methods could significantly increase the overall classification accuracy (OA) of the fine LCCOM by 8.40%. CV significantly outperformed GA and PSO, and GA performed slightly better than PSO. CV was more suitable for most of the fine land cover types of crop land, and PSO for road and open pit mining lands. The results of an independent test set revealed that the optimized SVM models achieved significant improvements, with an average of 8.29%. Overall, the proposed strategy was effective for fine LCCOM.

scholarly journals The Environmental Activism of a Filipino Catholic Faith Community: Re-Imagining Ecological Care for the Flourishing of All

Religions ◽  
2022 ◽  
Vol 13 (1) ◽  
pp. 56
Author(s):  
Jeane C. Peracullo ◽  
Rosa Bella M. Quindoza
Keyword(s):  
Catholic Church ◽  
The Philippines ◽  
Environmental Activism ◽  
Open Pit ◽  
Open Pit Mining ◽  
Catholic Faith ◽  
Catholic Organizations ◽  
Prophetic Mission ◽  
The Many ◽  
Climate Crisis

Extensive open-pit mining activities in the Philippines since the 1970s up to the present confront the meaning of the “Church of the Poor”, a description that the Catholic Church in the Philippines uses to visualize its prophetic mission. Alongside mining, many more environmentally destructive industries are present in the poorest areas in the country, even though the Philippines is disaster-prone and one of the world’s most vulnerable countries to the devastating effects of the climate crisis. The environmental degradation has prompted many Filipino Catholic organizations and communities to act together through various campaigns to address the problem. The article examines a case of a faith-based community that rose to the challenge to address various environmental issues their community was and continues to experience. The community’s environmental activism presents a viable model for a re-imagined ecological care towards the “flourishing of all” as a response to Pamela McCarroll’s call to action to continue conversations on the many ways practical theology can move beyond anthropocentrism while focusing on social justice.

Asbestos rehabilitation project as a model of landscape sustainability

2022 ◽  
Vol 13 (1) ◽  
pp. 0-0
Keyword(s):  
Mining Area ◽  
Open Pit ◽  
Open Pit Mining ◽  
Soil Protection ◽  
Rehabilitation Management ◽  
Landscape Sustainability ◽  
National Legislation ◽  
Health Measures ◽  
Safety And Health ◽  
The World

Greece was one of the biggest producers of asbestos in the world as well as a consumer. It took advantage of the asbestos rich Zidani mine, in the region of Western Macedonia in Greece. However, due to serious health problems caused by inhaling asbestos, it was banned in 1979 and the mine closed in March 2000. Rehabilitation management of the abandoned asbestos mining area, the depositions in the open - pit mining area and the tailings remnants was necessary in order to avoid health and environmental problems in the wider area The detailed soil protection and rehabilitation project of the degraded mining area was implemented taking all necessary and appropriate safety and health measures according to the requirements of the relevant E.U and National legislation, so that accidents would be prevented. Results show that the rehabilitation, soil protection and enhancement of the area help the ecosystems to be sustainable, ecologically and socially acceptable

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