2016
DOI: 10.1016/j.jafrearsci.2016.01.004
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Aerogravity and remote sensing observations of an iron deposit in Gara Djebilet, southwestern Algeria

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Cited by 42 publications
(16 citation statements)
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“…For 2D and 3D modeling and inversion techniques using gravity data, there are many available computer codes and also computer software developed by commercial companies. For more details about these inversion methods and computer codes, you can check these publications [23][24][25][26].…”
Section: Interpretation Techniquesmentioning
confidence: 99%
“…For 2D and 3D modeling and inversion techniques using gravity data, there are many available computer codes and also computer software developed by commercial companies. For more details about these inversion methods and computer codes, you can check these publications [23][24][25][26].…”
Section: Interpretation Techniquesmentioning
confidence: 99%
“…This case study shows an example of the application of remote sensing to geological and mineralogical mapping of the Central Atlantic Magmatic Province (CAMP) formations in southern Algeria. Remote-sensing techniques such as principal component analysis (PCA), band ratios, band math, and target detection wizard can detect different mineral resources and interesting geological structures [40]. In this section, we present applications of different remote-sensing methods to map the mineral resources of the CAMP formations in southern Algeria using Landsat 8 OLI multispectral images.…”
Section: Application Of Remote Sensing In Mining and Geological Invesmentioning
confidence: 99%
“…The Operational Land Imager (OLI) multispectral images were used to enhance and highlight the geological and structural features in the study area. The image processing techniques such as band ratios, principal components analysis (PCA), target detection wizard, and band math have proved to be a strong tools for mapping geological features for mineral exploration purposes [40,44].…”
Section: Remote-sensing Analysismentioning
confidence: 99%
“…The remote sensing data has many advantages and applications in order to study volcanic hazards due to repeated image coverage and multispectral characteristics of the data. Remote sensing data analysis has found an ever-increasing use in geosciences for more than three decades, such as: in mineral hyperspectral imaging (Azizi et al 2015), geological mapping of rocks and structures (Saadi et al 2008a,b;Saibi et al 2015;Bersi et al 2016), and also to study volcanic activity and map volcanic terrains (Francis and Baker 1978;Fedotov et al 1989;Khrenov et al 2000;Ramsey and Dean 2004;Ramsey and Flynn 2004). The ultraviolet (UV) remote sensing are used to study the SO2 flux from fumaroles of volcanoes (Tamburello et al 2011a,b,c) and also the CO2 emissions (Aiuppa et al 2011a,b) as precursors of volcanic eruptions.…”
Section: Introductionmentioning
confidence: 99%