Frequency ratio modelling using geospatial data to predict Kimberlite Clan of rock emplacement zones in Dharwar Craton, India

Prasath, H Lakshmi Ram; Kusuma, K. N.; Chaitanya, S; Guru, Balamurugan

doi:10.1016/j.jag.2018.08.019

Cited by 7 publications

(3 citation statements)

References 36 publications

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“…Many of the lineament are marked by intrusion of mafic dykes. Kimberlite pipes in the study area are generally found to be emplaced along regional scale weak zones, particularly intersection of the E-W Lineaments with N-S trending lineaments are more probable locations for the Kimberlite emplacement (17,18) . Kimberlite pipes are also observed to fall in between two set of parallel E-W trending lineaments and intersection of N-S lineament.…”

Section: Lineaments Mappingmentioning

confidence: 87%

“…The challenges faced during exploration are mainly due to (i) small spatial dimension of the pipe (ii) high degree of weathering in the humid tropical climates and (iii) mantling of the pipes by the alluvium in the low-lying areas or development of calcrete over the pipes. Technique employed in exploring kimberlite pipe include photo-geological interpretation of aerial photo or satellite imageries, (8) multispectral, hyperspectral remote sensing and GIS (12)(13)(14)(15)(16)(17)(18) ; geochemical prospecting techniques such as analysis of soil sample, Kimberlite indicator minerals (KIMs) from stream sediment samples (19,20) and calcrete geochemistry (21) ; and geophysical methods including electromagnetic (22) , aeromagnetic, ground magnetic studies and gravity method (23,24) .…”

Section: Introductionmentioning

confidence: 99%

“…Photo-geological interpretation of aerial photo or satellite imageries are used for mapping the structural features found in association with kimberlite such as regional lineaments, dyke intrusion and geomorphology (8,9,12,17,18) . In recent years, spectral based remote sensing has also been widely used in exploration of mineral deposits based on the spectral characteristic of the path finder minerals (25)(26)(27) .…”

Section: Introductionmentioning

confidence: 99%

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Application of Feature Based Principal Component Analysis (FPCA) technique on Landsat8 OLI multispectral data to map Kimberlite pipes

Kusuma¹,

Prasath²

2021

IJST

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Objectives: To map the kimberlite pipes emplaced in parts of Anantpur District, India using Landsat-8 OLI multispectral data. Kimberlite are considered as the primary host of natural diamond. Kimberlite pipes have very limited exposure and are altered, therefore the indirect surface indicators associated with kimberlite such as ferric iron bearing minerals (hematite, goethite), hydroxyl (clay) and carbonate (calcrete) minerals, were mapped to trace kimberlite pipe. Methods: Feature based Principal Component Analysis (FPCA) was applied over the OLI bands 2, 4, 5 and 6, and 2, 5, 6 and 7 to generate ferric iron (F image) and hydroxyl/carbonate image (H/C images). The color composite was generated by assigning RGB colours to F, H/C and F+H/C images. Findings: When matched with the pre-explored kimberlite pipe locations, it was observed that the kimberlitic pipes display different colours in the above colour composite. Hence, the Isodata clustering was carried out to segregate the classes, which resulted in 12 unique classes. Of these, the kimberlite pipes fall in 4 classes. However, due to the moderate resolution of OLI, false positive areas were also noted. Further the target area was found to be reduced by incorporating the structural control (lineament) over the emplacement of Kimberlite pipes. Novelty: The present work highlights the usefulness of the moderate resolution multispectral image in mapping the Kimberlite pipes in semiarid region, in absence of a hyperspectral sensor.

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Section: Lineaments Mappingmentioning

confidence: 87%