Volume 14 (2023)
Volume 13 (2022)
Volume 12 (2021)
Volume 11 (2020)
Volume 10 (2019)
Volume 9 (2018)
Volume 8 (2017)
Volume 7 (2016)
Volume 6 (2015)
Volume 5 (2014)
Volume 4 (2013)
Volume 3 (2012)
Volume 2 (2011)
Volume 1 (2010)
Exploration
Implementation of Spaceborne optical data and field investigation for geo-structural mapping of an interior rift basin: A case study from Kharit area, Southeastern Desert, Egypt

Ahmed Abdelhalim; Islam Abuelella; Shawky M Sakran; Said Mohamed Said

Articles in Press, Accepted Manuscript, Available Online from 07 August 2023

https://doi.org/10.22044/jme.2023.12739.2327

Abstract
  Kharit basin is an interior Cretaceous rift basin hosted in a Precambrian basement complex of the Arabian-Nubian shield. Satellite images and potential geophysical data previously outlined the basin without a detailed field study. Kharit area is a remote and hyper-arid area; therefore, the application ...  Read More

Exploration
A predictive GIS model for mapping gold- and copper-bearing alteration zones at South Gabal Um Monqul and Gabal Al Kharaza prospects, north Eastern Desert, Egypt

Abdallah Atef; Ahmed A. Madani; Adel A. Surour; Mokhles K. Azer

Articles in Press, Accepted Manuscript, Available Online from 14 September 2023

https://doi.org/10.22044/jme.2023.13406.2473

Abstract
  This study reports the application of remote sensing data and knowledge-driven GIS modeling to provide favorability maps for gold and copper mineralized areas. The South Gabal Um Monqul (SGUM) and the Gabal Al Kharaza (GKZ) prospects located in the northern Eastern Desert of Egypt are the targets for ...  Read More

Exploration
Machine learning predictive approaches for Cu-Au mineral prospectivity map in the Sonajil, NW of Iran: An improvement by Bayesian semi-supervised algorithm

Mohammadjafar Mohammadzadeh; Majid Mahboubiaghdam; Moharram Jahangiri; Aynur Nasseri

Articles in Press, Accepted Manuscript, Available Online from 07 August 2023

https://doi.org/10.22044/jme.2023.13313.2445

Abstract
  Most machine learning-monitored algorithms used to create mineral potential prediction maps require noise-free data to achieve high performance and reliable results. Unsupervised clustering methods are highly effective for uncovering a dataset’s hidden structures. Therefore, this study attempts ...  Read More

Exploration
A promising automatic system for the studying of coal mine surfaces using sentinel-2 data to assess a classification on a pixel-based pattern

Ajay Kumar

Articles in Press, Accepted Manuscript, Available Online from 19 September 2023

https://doi.org/10.22044/jme.2023.13064.2380

Abstract
  Land use (LU) classification based on remote sensing images is a challenging task that can be effectively addressed using a learning framework. However, accurately classifying pixels according to their land use poses a significant difficulty. Despite advancements in feature extraction techniques, the ...  Read More

Exploration
Application of Fuzzy Gamma Operator for Mineral Prospectivity Mapping, Case Study: Sonajil Area

Samaneh Barak; Ali Imamalipour; Maysam Abedi

Volume 14, Issue 3 , July 2023, , Pages 981-997

https://doi.org/10.22044/jme.2023.12954.2352

Abstract
  The Sonajil area is located in the east Azerbaijan province of Iran. According to studies on the geological structure, the region has experienced intrusive, subvolcanic, and extrusive magmatic activities, as well as subduction processes. As a result, the region is recognized for its high potential for ...  Read More

Exploration
Integration of Fractal and Multivariate Principal Component Models for Separating Pb-Zn Mineral Contaminated Areas

Hossein Mahdiyanfar; Mirmahdi Seyedrahimi-Niaraq

Volume 14, Issue 3 , July 2023, , Pages 1019-1035

https://doi.org/10.22044/jme.2023.13227.2424

Abstract
  The primary purpose of this investigation is contamination mapping in surrounding areas of Irankuh Pb–Zn mine, located in central Iran, using an integrated approach of principal component analysis (PCA) with the Concentration-Area (C-A) and Power Spectrum-Area (S-A) fractal models. PCA categorized ...  Read More

Exploration
Site Response Analysis and Empirical Correlations between N-Values and Shear Modulus for Sub-Himalayan District Hamirpur using ProShake

Vivek Sharma; Ravi Kumar Sharma; Pardeep Kumar

Volume 13, Issue 4 , October 2022, , Pages 1031-1047

https://doi.org/10.22044/jme.2022.12350.2241

Abstract
  In the present work, the empirical correlations between standard penetration test (SPT) N-values  versus  shear modulus (Gmax), and Peak Ground Acceleration (PGA) amplifications for sub-Himalayan district-Hamirpur, Himachal Pradesh (India) consisting of highly variable soil/rock strata at different ...  Read More

Exploration
A Practical Comparison between Gaussian and Direct Sequential Simulation Algorithms using a 3D Porosity Dataset

H. Sabeti; F. Moradpouri

Volume 13, Issue 2 , April 2022, , Pages 547-557

https://doi.org/10.22044/jme.2022.11874.2180

Abstract
  The geo-statistical simulation algorithms for continuous spatial variables have been used widely in order to generate the statistically-honored models. There are two main algorithms doing the continuous variable simulation, Sequential Gaussian Simulation (SGS) and Direct Sequential Simulation (DSS). ...  Read More

Exploration
Identification of Alteration Zones using ASTER Data for Metallic Mineralization in Ahar region, NW Iran

F. Mirsepahvand; M.R. Jafari; P. Afzal; M. A. Arian

Volume 13, Issue 1 , January 2022, , Pages 309-324

https://doi.org/10.22044/jme.2022.11477.2135

Abstract
  The goal of this research work is to recognize the metallic mineralization potential in the Ahar 1:100,000 sheet (NW Iran) using the remote sensing data based on determination of the alteration zones. This area is located in the Ahar-Arasbaran metallogenic zone as a significant metallogenic zone in Iran ...  Read More

Exploration
A Comparative Study of SVM and RF Methods for Classification of Alteration Zones Using Remotely Sensed Data

N. Mahvash Mohammadi; A. Hezarkhani

Volume 11, Issue 1 , January 2020, , Pages 49-61

https://doi.org/10.22044/jme.2019.7956.1664

Abstract
  Identification and mapping of the significant alterations are the main objectives of the exploration geochemical surveys. The field study is time-consuming and costly to produce the classified maps. Therefore, the processing of remotely sensed data, which provide timely and multi-band (multi-layer) data, ...  Read More

Exploration
Determining optimal distance from outlet of auxiliary forcing ventilation system to development of heading in underground mines

V. Adjiski; D. Mirakovski; Z. Despodov; S. Mijalkovski

Volume 10, Issue 4 , October 2019, , Pages 821-832

https://doi.org/10.22044/jme.2019.8140.1683

Abstract
  Auxiliary ventilation of the blind development heading in underground mines is one of the most challenging work activities amongst mining underground operations. The auxiliary forcing ventilation system provides positive pressure, cooling, controlling gas layering, and removing diesel fumes and dust ...  Read More

Exploration
Anomaly delineation of porphyry copper deposits of Hanza Region through geochemical data analyses and multispectral remote sensing

A. Habibnia; Gh. R. Rahimipour; H. Ranjbar

Volume 10, Issue 3 , July 2019, , Pages 747-762

https://doi.org/10.22044/jme.2019.8203.1695

Abstract
  Hanza region is located in the southern part of Urumieh–Dokhtar Metallogenic belt in southeastern Iran. This region includes six known porphyry copper deposits and it is considered as an ore- bearing region from geochemical point of view. The aim of this research is to examine effective processing ...  Read More

Exploration
Evaluating the effect of using different reference spectra on SAM classification results: an implication for hydrothermal alteration mapping

M. Honarmand; H. Ranjbar; H. Shahriari; F. Naseri

Volume 9, Issue 4 , October 2018, , Pages 981-997

https://doi.org/10.22044/jme.2018.7061.1549

Abstract
  This research was performed with the objective of evaluating the accuracy of spectral angle mapper (SAM) classification using different reference spectra. The Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) digital images were applied in the SAM classification in order to map the ...  Read More