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)
Detection of Mo geochemical anomaly in depth using a new scenario based on spectrum–area fractal analysis

H. Mahdiyanfar

Volume 10, Issue 3 , July 2019, , Pages 695-704


  Detection of deep and hidden mineralization using the surface geochemical data is a challenging subject in the mineral exploration. In this work, a novel scenario based on the spectrum–area fractal analysis (SAFA) and the principal component analysis (PCA) has been applied to distinguish and delineate ...  Read More

Hydrothermal alterations mapping using Quickbird and Landsat-8 data, a case study from Babbiduyeh, Kerman province, Iran

H. Aryanmehr; M. Hosseinjanizadeh; M. Honarmand; F. Naser

Volume 9, Issue 1 , January 2018, , Pages 41-52


  In this work, we focus on investigating the Quickbird and Landsat-8 datasets for mapping hydrothermal and gossans alterations in reconnaissance porphyry copper mineralization in the Babbiduyeh area. This area is situated in the Central Iranian Volcano-sedimentary Complex, where large copper deposits ...  Read More

Prediction of dispersed mineralization zone in depth using frequency domain of surface geochemical data

H. Shahi

Volume 8, Issue 3 , July 2017, , Pages 433-446


  Discrimination of the blind and dispersed mineralization deposits is a challenging problem in geochemical exploration. The frequency domain (FD) of the surface geochemical data can solve this important issue. This new exploratory information can be achieved using the interpretation of FD of geochemical ...  Read More

Prediction of mineral deposit model and identification of mineralization trend in depth using frequency domain of surface geochemical data in Dalli Cu-Au porphyry deposit

H. Shahi; R. Ghavami Riabi; A. Kamkar Ruhani; H. Asadi Haroni

Volume 6, Issue 2 , July 2015, , Pages 225-236


  In this research work, the frequency domain (FD) of surface geochemical data was analyzed to decompose the complex geochemical patterns related to different depths of the mineral deposit. In order to predict the variation in mineralization in the depth and identify the deep geochemical anomalies and ...  Read More