Systematic review of machine learning applications in mining: Exploration, exploitation, and reclamation

D Jung, Y Choi - Minerals, 2021 - mdpi.com
Recent developments in smart mining technology have enabled the production, collection,
and sharing of a large amount of data in real time. Therefore, research employing machine …

A global-scale data set of mining areas

V Maus, S Giljum, J Gutschlhofer, DM da Silva… - Scientific data, 2020 - nature.com
The area used for mineral extraction is a key indicator for understanding and mitigating the
environmental impacts caused by the extractive sector. To date, worldwide data products on …

Using POI and time series Landsat data to identify and rebuilt surface mining, vegetation disturbance and land reclamation process based on Google Earth Engine

W Xiao, X Deng, T He, J Guo - Journal of Environmental Management, 2023 - Elsevier
The development of coal resources is necessary, but it has a huge negative impact on land,
ecology, and the environment. With the increasing awareness of environmental protection …

Remote-sensing evaluation and temporal and spatial change detection of ecological environment quality in coal-mining areas

X Nie, Z Hu, M Ruan, Q Zhu, H Sun - Remote Sensing, 2022 - mdpi.com
The large-scale development and utilization of coal resources have brought great
challenges to the ecological environment of coal-mining areas. Therefore, this paper has …

[HTML][HTML] Google Earth Engine-based mapping of land use and land cover for weather forecast models using Landsat 8 imagery

M Ganjirad, H Bagheri - Ecological Informatics, 2024 - Elsevier
Abstract Land Use and Land Cover (LULC) maps are vital prerequisites for weather
prediction models. This study proposes a framework to generate LULC maps based on the …

Extraction and spatiotemporal changes of open-pit mines during 1985–2020 using Google Earth Engine: A case study of Qingzhou City, Shandong Province, China

L Ruifeng, Y Kai, L Xing, L Xiaoli, Z Xitao… - Environmental …, 2023 - Springer
The global use of mineral resources has increased exponentially for decades and will
continue to grow for the foreseeable future, resulting in increasingly negative impacts on the …

A Novel Exposed Coal Index Combining Flat Spectral Shape and Low Reflectance

X Pan, P Zhang, S Guo, W Zhang, Z Xia… - … on Geoscience and …, 2023 - ieeexplore.ieee.org
Coal, as a traditional energy source, has made remarkable contributions to global economic
development. However, surface coal mining brings a series of eco-environmental problems …

Seasonal detection of coal overburden dump regions in unsupervised manner using landsat 8 OLI/TIRS images at jharia coal fields

J Mukherjee, J Mukherjee, D Chakravarty… - Multimedia Tools and …, 2021 - Springer
Classification and monitoring of surface mining areas have various research challenges.
Surface mining produces various land classes such as, quarry, dump, overburden dump …

Mapping opencast iron mine and mine solid waste based on a new spectral index from medium spatial resolution satellite data

S Gao, Y Chen, K Li, Y Li, J Yu… - IEEE Journal of Selected …, 2021 - ieeexplore.ieee.org
Opencast iron mine and mine solid waste (OIM-MSW) are closely associated with a wide
range of environmental issues, such as destroying soil structure, affecting air quality, and …

A study on automated detection of surface and sub-surface coal seam fires using isolation forest from Landsat 8 OLI/TIRS images

J Mukherjee - … 2022-2022 IEEE International Geoscience and …, 2022 - ieeexplore.ieee.org
Coal seam fire (CSF) affects various social, economical, and environmental aspects. Surface
and sub-surface CSF are detected in the past by studying the anomalies of land surface …