[HTML][HTML] Managing and reforesting degraded post-mining landscape in Indonesia: a review

Pratiwi, BH Narendra, CA Siregar, M Turjaman… - Land, 2021 - mdpi.com
Tropical forests are among the most diverse ecosystems in the world, completed by huge
biodiversity. An expansion in natural resource extraction through open-pit mining activities …

An overview of the emergence and challenges of land reclamation: Issues and prospect

KE Ukhurebor, UO Aigbe, RB Onyancha… - Applied and …, 2022 - Wiley Online Library
The issues of land degradation are directly or indirectly influenced by human and/or natural
actions, and it is one of the most challenging issues confronting several regions of the world …

Analysis of post-mining vegetation development using remote sensing and spatial regression approach: A case study of former Babina Mine (Western Poland)

A Buczyńska, J Blachowski, N Bugajska-Jędraszek - Remote Sensing, 2023 - mdpi.com
The vegetation of the post-mining areas is subject to constant and significant changes.
Reclamation works, carried out after the cessation of mineral extraction, contribute to the …

[HTML][HTML] Assessment of land reclamation benefits in mining areas using fuzzy comprehensive evaluation

X Yu, C Mu, D Zhang - Sustainability, 2020 - mdpi.com
Land reclamation plays a vital role in the ecological improvement and economic
development of mining regions. This study aims to conduct a preliminary discussion on the …

[HTML][HTML] Map** changes in artisanal and small-scale mining (ASM) landscape using machine and deep learning algorithms.-a proxy evaluation of the 2017 ban on …

C Nyamekye, B Ghansah, E Agyapong… - Environmental Challenges, 2021 - Elsevier
Abstract Artisanal and Small-Scale Mining (ASM) landscapes form integral part of the Land
use land cover (LULC) in the develo** worlds. However, the spatial, spectral, and …

Design of an optimized deep learning algorithm for automatic classification of high-resolution satellite dataset (LISS IV) for studying land-use patterns in a mining …

A Kumar, AK Gorai - Computers & Geosciences, 2023 - Elsevier
Accurate classification of the satellite image is always a challenging task, and hence
uncertainty involves in the change detection analysis in the land use for mining regions. The …

Integrated artificial neural network and discrete event simulation framework for regional development of refractory gold systems

R Wilson, PHJ Mercier, A Navarra - Mining, 2022 - mdpi.com
Mining trends in the gold sector indicate a growing imbalance in global supply and demand
chains, especially in light of accelerated efforts towards industrial electrification and …

[HTML][HTML] U-Net convolutional neural network models for detecting and quantifying placer mining disturbances at watershed scales

K Malik, C Robertson, D Braun, C Greig - International Journal of Applied …, 2021 - Elsevier
Placer mining is a mineral extraction method in floodplains that involves the removal of earth
material to access mineral-laden sediments, a process that can have significant and long …

Development of a deep convolutional neural network model for detection and delineation of coal mining regions

A Kumar, AK Gorai - Earth Science Informatics, 2023 - Springer
The present study aims to design a deep convolutional neural network (DCNN) model for
the detection and delineation of coal mining regions. The study also examined the effect of …

Local perspectives on the adverse environmental effects and reclamation of illegally mined degraded landscapes in North-western Ghana

I Baddianaah, BN Baatuuwie, R Adongo - Mineral Economics, 2023 - Springer
In Ghana, there is a consensus that all the artisanal and small-scale mining (ASM) degraded
landscapes should be restored to ecologically functionable limits after the small-scale …