Journal of Geological Remote Sensing

Potential Assessment of Metal Minerals Using Statistical Processing and Hierarchical Analysis in the Ferdows-Gonabad-Bajestan region

Document Type : Original Article

Authors

Mehdi Honarmand 1
Zohreh Arjmand Lari 1
Mahdieh Hosseinjanizadeh 2
Hadi Shahriari 3

1 Department of Ecology, Institute of Science and High Technology and Environmental Sciences, Graduate University of Advanced Technology, Kerman, Iran

2 Graduate University of Advanced Technology

3 Department of mining engineering, ali-e-Asr University of Rafsanjan

10.48306/jgrs.2025.464902.1008
Abstract
Identification of hydrothermal alterations is regarded as a crucial factor in mineral exploration. Additionally, identifying and mapping structural zones is of particular importance. In this study, ASTER and OLI satellite images were utilized to identify hydrothermal alterations employing statistical methods (band ratios and principal component analysis), and Sentinel-2A images were employed to identify geological units, faults, and calculate photolineament factor in the Ferdows-Gonabad-Bajestan metallogenic area. Stream sediment and rock samples collected from the area were examined for Ag, As, Au, Co, Cu, Fe, Mo, Pb, V, and Zn elements. The results were then combined using fuzzy OR operators. Subsequently, all data were valued using the analytical hierarchy process, weighed, and integrated with GIS software. Based on the results, five areas were identified as mineral potential zones, among which areas A, B, and C, have a higher probability of mineralization due to higher grades of elements. Sampling from the area, thin section preparation, and XRD analysis were also conducted for result validation with a validation accuracy of 90% and a kappa coefficient of 0.89.

Keywords

Statistical processing
Fault
Photolineament factor
AHP method
Ferdows-Gonabad-Bajestan region
Subjects
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Journal of Geological Remote Sensing
Volume 3, Issue 1 - Serial Number 3
December 2025
Pages 1-19

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