Landsat ETM+ imaging for mineral potential mapping: application to Avaj area, Qazvin, Iran

Yazdi, Mohammad; Taheri, Maryam; Navi, Pedram; Sadati, N.

doi:10.1080/01431161.2013.797127

Cited by 10 publications

(2 citation statements)

References 15 publications

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“…Phase I sought to investigate the extent to which multispectral analysis methods could be used to highlight and improve upon the detail of previously mapped geologic units within a broad area encompassing the Panjshir Valley. Despite its moderate spatial and spectral resolution, imagery collected by Landsat 8 Operational Land Imager(OLI)/Thermal Infrared Sensor (TIRS) has high radiometric resolution with an excellent signal-to-noise ratio and has successfully been used for geologic analysis of surficial rock units and exploration of mineral deposits in a variety of environments (Shupe and Akhavi, 1989;Yazdi et al 2013;Babu et al 2015;Pour and Hashim 2015;Safari et al 2018). Moreover, the spatial extent and resolution of Landsat scenes is advantageous as it does not require mosaicking of multiple images scenes and provides a useful amount of spectral reflectance detail in an area of complexly deformed rock units, where excessive spectral detail may introduce difficulties in mapping and validation.…”

Section: Methodsmentioning

confidence: 99%

Mapping the extent and methods of small-scale emerald mining in the Panjshir Valley, Afghanistan

DeWitt

Chirico

O’Pry

et al. 2020

Geocarto International

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Emerald mining in the Panjshir Valley, Afghanistan, has occurred for thousands of years, yet few records exist documenting the detailed spatial extent, techniques, or productivity of small-scale miners. This study proposes new methods to map and monitor the extent and changes in small-scale mining in remote and inaccessible terrain by integrating multispectral remote sensing analysis with archival geologic data and three-dimensional topographic change detection to examine emerald deposit zones and mining activity in the Panjshir Valley. Specifically, previously mapped geologic units known to host emeralds were re-analyzed using Landsat multispectral analysis to investigate the potential distribution of mining activity. Interpretation of very fineresolution satellite imagery showed that mining activity is becoming more concentrated and transitioning from traditional tunneling methods to mechanized surface excavation. Finally, topographic change analysis of mechanized mine sites was combined with archival grade data to estimate production and consider improved recovery methods by small-scale miners. ARTICLE HISTORY

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Section: Methodsmentioning

confidence: 99%

Mapping the extent and methods of small-scale emerald mining in the Panjshir Valley, Afghanistan

DeWitt

Chirico

O’Pry

et al. 2020

Geocarto International

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“…BR is one of the most widely used image processing methods for lithological purposes [30][31][32] and consists of diving bands with high reflectance by bands with high absorption to highlight specific spectral differences [33]. The BR tested in this study are presented in Table 1, for BRs derived from spectra collected in the laboratory, and in Table 2, for BRs derived from spectra extracted from Sentinel 2 bands.…”

Section: Band Ratiosmentioning

confidence: 99%

Spectral Analysis to Improve Inputs to Random Forest and Other Boosted Ensemble Tree-Based Algorithms for Detecting NYF Pegmatites in Tysfjord, Norway

et al. 2022

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As an important source of lithium and rare earth elements (REE) and other critical elements, pegmatites are of great strategic economic interest for present and future technological development. Identifying new pegmatite deposits is a strategy adopted by the European Union (EU) to decrease its import dependence on non-European countries for these raw materials. It is in this context that the GREENPEG project was established, an EU project whose main objective is to identify new deposits of pegmatites in Europe in an environmentally friendly way. Remote sensing is a non-contact exploration tool that allows for identifying areas of interest for exploration at the early stage of exploration campaigns. Several RS methods have been developed to identify Li-Cs-Ta (LCT) pegmatites, but in this study, a new methodology was developed to detect Nb-Y-F (NYF) pegmatites in the Tysfjord area in Norway. This methodology is based on spectral analysis to select bands of the Sentinel 2 satellite and adapt RS methods, such as Band Ratios and Principal Component Analysis (PCA), to be used as input in the Random Forest (RF) and other tree-based ensemble algorithms to improve the classification accuracy. The results obtained are encouraging, and the algorithm was able to successfully identify the pegmatite areas already known and new locations of interest for exploration were also defined.

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Mineralogical and Chemical Characteristics of Clay Areas, Gümüşhane Region (NE Turkey), and Their Detection Using the Crósta Technique with Landsat 7 and 8 Images

2021

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Landsat ETM+ imaging for mineral potential mapping: application to Avaj area, Qazvin, Iran

Cited by 10 publications

References 15 publications

Mapping the extent and methods of small-scale emerald mining in the Panjshir Valley, Afghanistan

Mapping the extent and methods of small-scale emerald mining in the Panjshir Valley, Afghanistan

Spectral Analysis to Improve Inputs to Random Forest and Other Boosted Ensemble Tree-Based Algorithms for Detecting NYF Pegmatites in Tysfjord, Norway

Mineralogical and Chemical Characteristics of Clay Areas, Gümüşhane Region (NE Turkey), and Their Detection Using the Crósta Technique with Landsat 7 and 8 Images

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