ASTER multispectral bands, ground magnetic data, ground spectroscopy and space-based EIGEN6C4 gravity data model for identifying potential zones for gold sulphide mineralization in Bhukia, Rajasthan, India

Rani, Komal; Guha, Arindam; Mondal, Subhendu; Pal, Sanjit Kumar; Kumar, K. Vinod

doi:10.1016/j.jappgeo.2018.10.001

Cited by 31 publications

(6 citation statements)

References 72 publications

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“…Lithological mapping of the exposed outcrops and their associated features are demarcated with the help of PCA, ICA, and MNF analyses to govern the mineral potentiality of the outcrops [9,17,40,42,44,62,63]. Different supervised, unsupervised, machine learning and prospectivity mapping algorithms were applied to the optical datasets to prepare the mineralogical and prospective zone maps of the region and these maps contain the information about the mineral potential zones which were utilized for the perspective of mineral explorations [17,20,21,31,42,47,48,[64][65][66][67][68][69][70][71].…”

Section: à2mentioning

confidence: 99%

“…Multispectral Remote Sensing is utilized in the domain of geosciences for lithological mapping [9][10][11][12][13][14][15][16], mineral mapping [17][18][19][20][21][22][23][24], identification of the alteration zones related to the base metal mineralization [25][26][27][28][29][30][31][32][33][34][35][36][37][38][39][40][41][42], structural features as a controlling factor for mineralization [26,28,[42][43][44][45][46] and mapping for demarcating favorable zones of mineralization [21,47,48]. Spectral characteristic absorption features of the rocks and minerals are utilized for the identification and mapping of lithologies and minerals like calcite, dolomite, clay, mica, and ultramafics, etc.…”

Section: Introductionmentioning

confidence: 99%

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Feature-Oriented Principal Component Selection (FPCS) for Delineation of the Geological Units Using the Integration of SWIR and TIR ASTER Data

Jain¹

2022

Recent Remote Sensing Sensor Applications - Satellites and Unmanned Aerial Vehicles (UAVs)

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Geological studies have been performed using the Band Ratios (BR), Relative Band Depth (RBD), Mineral Indices (MI), Principal Component Analysis (PCA), Independent Component Analysis (ICA), lithological and mineral classification techniques from Short-Wave Infrared (SWIR) and Thermal Infrared (TIR) data. The chapter aims to delineate various geological units present in the area using the combination of SWIR and TIR ASTER bands through the Feature-Oriented Principal Component Selection (FPCS) technique. Different BRs and RBDs were applied to map the minerals having Al-OH and Mg-OH compounds with the chemical composition of clay (kaolinite, smectite), mica (sericite, muscovite, illite), ultramafic (lizardite, antigorite, chrysotile), talc, and carbonate (dolomite) from SWIR bands. The MI was used to map quartz-rich, mafic/ultramafic, and carbonate rocks using TIR bands. The BRs, RBDs, and MIs mapped the geological units but every single greyscale image showed a variety of features. To compile these features False Color Composite (FCC) was prepared by the combination of RBDs and MIs in the R:G:B channels which demarked various geological units to a larger extent present in the region. To overcome the limitation, the FPCS technique was applied with the integration of all BRs, RBDs, and MIs. The FPCS technique extracts valuable information from different input bands and shifts the information in the first few bands. The generated eigenvalues and eigenvectors represented the retrieved information in the specific band. The loadings of the eigenvector were used for the selection of the different brands to create the FCC for the delineation of geological strata. The best discrimination was made by the selection of FPCS1, FPCS3, and FPCS6 which differentiated all the geological units like ultramafics, dolomites, thin bands of talc, and muscovite and illite (as phyllite and mica-schist), silica-rich rocks (as quartzite), and granite outcrops.

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Section: à2mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Feature-Oriented Principal Component Selection (FPCS) for Delineation of the Geological Units Using the Integration of SWIR and TIR ASTER Data

Jain¹

2022

Recent Remote Sensing Sensor Applications - Satellites and Unmanned Aerial Vehicles (UAVs)

View full text Add to dashboard Cite

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“…The spatial resolution of the EIGEN-6C4 model is ~ 9 km. The EIGEN-6C4 data are downloaded from the website populating the "International Center for Global Earth Models" data (Barthelmes and Köhler, 2016;Drewes et al, 2016) and have already been widely used for subsurface structural research at the regional and global scales (Rani et al, 2019;Emishaw and Abdelsalam, 2019). The free-air gravity anomaly data employed as the basic data for this study have a resolution of 0.05° × 0.05° and are obtained from the ICGEM official website (http://icgem.gfz-potsdam.de/home).…”

Section: Study Area and Datasetsmentioning

confidence: 99%

Usporedba različitih pristupa Bouguer-ove redukcije na temelju satelitskih gravimetrijskih podataka

Luo

Tao

et al. 2020

Geofizika (Online)

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Satellite gravity data are widely used in the field of geophysics to study deep structures at the regional and global scales. These data comprise free-air gravity anomaly data, which usually need to be corrected to a Bouguer gravity anomaly for practical application. Bouguer reduction approaches can be divided into two methods based on the coordinate system: the spherical coordinates method (SBG) and the Cartesian coordinates method; the latter is further divided into the CEBG and CBG methods, which do and do not include the Earth’s curvature correction. In this paper, free-air gravity anomaly data from the eastern Tibetan Plateau and its adjacent areas were used as the basic data to compare the CBG, CEBG, and SBG Bouguer gravity correction methods. The comparison of these three Bouguer gravity correction methods shows that the effect of the Earth’s curvature on the gravitational effect increases with increasing elevation in the study area. We want to understand the inversion accuracy for the data obtained by different Bouguer gravity reduction approaches. The depth distributions of the Moho were obtained by the interface inversion of the Bouguer gravity anomalies obtained by the CBG, CEBG, and SBG, and active seismic profiles were used as references for comparison and evaluation. The results show that the depths of the Moho obtained by the SBG inversion are more consistent with the measured seismic profile depths. Therefore, the SBG method is recommended as the most realistic approach in the process of global or regional research employing gravity data.

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“…3 (2018) which can remove the effect of atmospheric interference using the dark object subtraction (DOS) method. After that, in ENVI 5.3 program, the radiometric calibration module was used to convert digital number (DN) of image pixels to ground object reflectance values (Subhendu et al 2019;Rani et al 2018a, b, c;Rani et al 2019;Pal et al 2011). The first step is to convert the DNs to radiance values in W/m 2 •sr•nm using the bias and gain values that are obtained from image header.…”

Section: Geological and Hydrogeological Settingmentioning

confidence: 99%

Geo-Environmental Changes and Their Impact on the Development of the Limestone Plateau, West of Assiut, Egypt

Darwish

Megahed

Farrag

et al. 2020

J Indian Soc Remote Sens

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One of the important projects that the Egypt country seeks to implement is the desert areas development, which contributes significantly to agricultural and urban development. Development of desert areas, especially agricultural development, should be carried out scientifically in terms of the use of available water resources, irrigation methods according to the type of soil and taking the geo-environmental risks into consideration. The objective of this research is to assess the geoenvironmental impact in the region under consideration and their effect on their natural components during their development phases. Estimating the rate of land-use/land-cover changes in the area is extremely important for the management of natural resources. Remote sensing and GIS techniques have been used to process the geological, topographical, landuse/land-cover and also locating high-risk areas that could be affected by flash flooding. This study showed that the study area comprises three land-cover classes: urban, agricultural and barren land. The expansion in the agricultural and residential areas was estimated from the Landsat satellite images from 1984 to 2018. The results had deduced the reasons for increasing the agricultural area and the validity of the western plateau lands for agricultural reclamation as well as land investment for residential projects such as Nasser city. The results indicate that the vegetated land increased by 9.68% and urban land by 3.17% after reclamation efforts were initiated.Keywords Geo-environment Á Geology Á Land use/land cover Á GIS and remote sensing Á Change detection Á Development

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ASTER multispectral bands, ground magnetic data, ground spectroscopy and space-based EIGEN6C4 gravity data model for identifying potential zones for gold sulphide mineralization in Bhukia, Rajasthan, India

Cited by 31 publications

References 72 publications

Feature-Oriented Principal Component Selection (FPCS) for Delineation of the Geological Units Using the Integration of SWIR and TIR ASTER Data

Feature-Oriented Principal Component Selection (FPCS) for Delineation of the Geological Units Using the Integration of SWIR and TIR ASTER Data

Usporedba različitih pristupa Bouguer-ove redukcije na temelju satelitskih gravimetrijskih podataka

Geo-Environmental Changes and Their Impact on the Development of the Limestone Plateau, West of Assiut, Egypt

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