Integrated Interpretation of Satellite Imagery, Aeromagnetic, Aero-radiometric and Ground Exploration Data-sets to Delineate Favorable Target Zones for Unconformity Related Uranium Mineralization, Khariar Basin, Central India

Patra, I.; Chaturvedi, Anoop; Srivastava, Prashant K.; Ramayya, M. S.

doi:10.1007/s12594-013-0041-7

Cited by 15 publications

(5 citation statements)

References 11 publications

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“…SRTM images are very useful for structural and lithological discrimination of the study area and are used extensively to identify the tectonic/structural regime, which contributes as well to increasing our knowledge on the particular types of mineralization [67,68]. Apart from identifying the individual lineament features, they can also be useful to conduct a lineament density analysis to evaluate the structural complexity of the area.…”

Section: Srtm Images Analysismentioning

confidence: 99%

Geophysical Constraints to the Geological Evolution and Genesis of Rare Earth Element–Thorium–Uranium Mineralization in Pegmatites at Alces Lake, SK, Canada

Poliakovska,

Annesley,

Hajnal

2023

Minerals

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This investigation establishes an integrated method for rare earth elements (REE) exploration through a very promising and advanced exploration prospect in the Alces Lake area (SK, Canada) by assessing the integrated analysis of several multisource geophysical datasets. The resulting outcome provides important lithostructural information to the well-exposed, mineralized middle-to-lower crust at Alces Lake, comprising deep-seated poly-phase folds, ductile shear zones, and brittle faults. Geophysical–geological models of the Alces Lake property were constructed at different scales. The area of interest is located within the Beaverlodge Domain, about 28 km north of the Athabasca Basin’s northern margin. It contains some of the highest-grade rare earth elements (REE) in the world with the REE hosted predominantly in monazites within quartzo-feldspathic granitic to biotite–garnet–monazite–zircon-rich restite-bearing/cumulate mush melt pegmatites of anatectic origin (abyssal). Geophysical magnetic, gravity, and radiometric data were used together with Shuttle Radar Topography Mission (SRTM) images to facilitate the processing, modeling, and interpretation. Consequently, major structures were identified at different scales; however, the emphasis was given to studying those at the district/camp scale. The REE zones discovered to date occur within a large district-scale refolded synformal anticline. The eastern limb of this folded structure comprises a 30–40 km long, NW-trending shear zone/fault corridor with deep-seated structural crustal roots that may have served as the major pathway for ascending fluids/melts and facilitated the emplacement of mineralization. Thus, shear zones, faults, and folds in combination with lithological contacts/rheological contrasts appear to control residual/cumulate pegmatite emplacement and monazite deposition. Anomalies obtained from the airborne equivalent thorium survey data prove to be the most useful for REE pegmatite exploration. The results herein provide new interpretation and modeling perspectives leading to a better understanding of the distribution and lithostructural controls of REE on the property, and to new guidelines for future exploration programs at Alces Lake and elsewhere in northern Saskatchewan.

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Section: Srtm Images Analysismentioning

confidence: 99%

Geophysical Constraints to the Geological Evolution and Genesis of Rare Earth Element–Thorium–Uranium Mineralization in Pegmatites at Alces Lake, SK, Canada

Poliakovska,

Annesley,

Hajnal

2023

Minerals

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“…Airborne magnetic surveys are a very important first step in geophysical exploration because they make it possible to find ambient magnetic fields produced by subsurface magnetic minerals [14], most of these magnetic minerals are associated with geologic structures as such, airborne magnetic data is the most widely used in the delineation of subsurface geologic structures for minerals [15,16]. Integrating magnetic data and other methods has provided subsurface evidence of mineralisation or associated structures/alteration zones [17,18,19,20]. Works have been published employing airborne magnetic data for structures and mineralization [21,1].…”

Section: Introductionmentioning

confidence: 99%

Surface and Subsurface Structural Mapping of Lokoja Central Nigeria Using Airborne Magnetic and Remote Sensing Data

A. F.,

M.D

2024

AIR

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The main goal of this research is to evaluate the surface and subsurface structural framework of Lokoja and its surroundings using airborne magnetic and Shuttle Radar Topographic Mission (SRTM) data by applying image processing techniques. To explicate our aim, the residual magnetic intensity (RMI) data was reduced to a magnetic pole (RTP) to centre the anomalies above their causative source after which, the data was subject to the first vertical derivative filter and 3D Euler deconvolution method with structural index (SI =1) where the subsurface structures were delineated, using Oasis Montaj software. Four (4) shaded relief images were created with light sources emanating from four different directions to identify linear terrain features in the SRTM data at a solar azimuth of 0° and a solar elevation of 45°. Others 90°, and 135° followed by creating a composite shaded relief image of all four. The PCI Geomatica edge detection algorithm was applied to the composite shaded relief image produced. After thresholding and filtering processes, structural lineaments were extracted from the edges of the image by subjecting it to the line algorithm of PCI Geomatica. ArcGIS v10.7.1 was used to assign geometry to both magnetic and SRTM structures delineated. The resulting structural lineaments were subjected to Rockworks where a rose diagram that depicts structural trends within the study area was produced. The lineaments delineated allow us to decipher that the area is dissected by numerous subsurface and surface linear structures and these lineaments trend predominantly in the NE-SE, WSW-ENE, NW-SE, and NNE-SSW directions. Overlying the lineaments drawn from the pair of data sets showed several sites of structural coincidence that are thought to be structural continuation locations where subsurface fluids such as water will migrate directly to the surface.

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“…If the lag is assumed constant throughout the survey, it may be estimated using oppositely directed traverses of the same anomaly or line (Coyle et al ., 2014), but lag variations within a survey remain unsolvable without ample repetition of this process, and any variations between the oppositely directed traverses may impact the estimation. For decoupled navigation centre and sensor positions, a parallax correction (Luyendyk, 1997; Patra et al ., 2013; Dutra et al ., 2014) is typically employed, but may leave residuals, in the form of contained lag effects in certain sections of the survey, for example those particularly affected by wind gusts or other external factors. For parameter estimation purposes, such as source–parameter inversion, residual lag biases may result in skewing the inversion results.…”

Section: Introductionmentioning

confidence: 99%

Simultaneous line shift and source parameter inversion applied to a scalar magnetic survey for small unexploded ordnance

Kolster

Døssing

2021

Near Surface Geophysics

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Continuing advances within unmanned aerial vehicles and scalar magnetic sensor technology are revolutionizing geophysical remote sensing. For perspective, examples of high resolution, low noise data presented in this study enabled detection and accurate positioning of human‐made ferrous objects with a total mass of 0.5 kg, from altitudes around and above 2 m. However, with these new possibilities come a requirement of higher fidelity, where good sensor position estimates, in particular, are key to achieving a data quality sufficient for reliable data interpretation and geophysical inversion. Apart from inherent instrument properties, typical factors that hamper sensor position estimation are lag and parallax errors. Lag errors arise from time‐stamping delays between the positioning system and sensor reading, while parallax errors stem from the imperfect recovery of sensor positions due to a decoupling and/or distancing of the positioning system and sensor head. The impact from each of these error sources is typically similar and partially or even completely inseparable. A number of correctional techniques exist, typically based on large‐scale data correlations, or collection of specific additional data. We present a survey data adjustment method based on the simultaneous inversion of source parameters and a number of independent survey shifts or lags in pre‐specified sections of a survey. The method is particularly suited for surveys where the sensor path through space can be assumed well known, but the sensor position itself may suffer lags or shifts relative to the position measurement. The approach is based on modelling an existing source signature within the data and requires no data transformations, such as continuation to a two‐dimensional plane, or enforcing of smoothness. The approach is an amendment to independent source inversion and is ideal for scenarios where the source behaviour is thought to be well known, such as processing efforts in which the objective is source–parameter inversion. In this study, we validate the approach using a simple point‐dipole model to adjust synthetic data and subsequently demonstrate it on an unmanned airborne scalar magnetic survey for small unexploded ordnance targets, where a hardware malfunction resulted in unknown time‐shifts between magnetic sensor readings and positioning unit output. The adjustment procedure was carried out on line data, based on a single anomaly from a 155 mm shell, and enabled the recovery of signatures from several other ferrous unexploded ordnance targets as small as 0.5 kg. Subsequent inversion on the corrected signatures provided unexploded ordnance positions with an accuracy suitable for recovery purposes.

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Integrated Interpretation of Satellite Imagery, Aeromagnetic, Aero-radiometric and Ground Exploration Data-sets to Delineate Favorable Target Zones for Unconformity Related Uranium Mineralization, Khariar Basin, Central India

Cited by 15 publications

References 11 publications

Geophysical Constraints to the Geological Evolution and Genesis of Rare Earth Element–Thorium–Uranium Mineralization in Pegmatites at Alces Lake, SK, Canada

Geophysical Constraints to the Geological Evolution and Genesis of Rare Earth Element–Thorium–Uranium Mineralization in Pegmatites at Alces Lake, SK, Canada

Surface and Subsurface Structural Mapping of Lokoja Central Nigeria Using Airborne Magnetic and Remote Sensing Data

Simultaneous line shift and source parameter inversion applied to a scalar magnetic survey for small unexploded ordnance

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