Lithology and Structural Mapping of Kadavur Basin, Tamil Nadu, India, Using IRS P6 LISS III Satellite Data

Maheswaran, Selvaratnam; Anbazhagan, S.; Tamilarasan, K.; Kasilingam, C.; Chinnamuthu, M.

doi:10.1007/s12524-019-00989-5

Cited by 3 publications

(2 citation statements)

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“…Remote sensing techniques are being continuously utilized for various geological applications such as lithological mapping, mineral exploration, landforms studies, engineering projects and groundwater studies. In the last few decades, remote sensing data were successfully applied for mapping rock types and mineral deposits (Abrams 1984, Sultan et al 1987, Drury 1990, Glikson & Creasey 1995, Krishnamurthy 1997, Sabins 1999, Abdeen et al 2001, Anbazhagan et al 2006, Pour et al 2018, Maheswaran et al 2019, Kamel et al 2022). In the earlier period, aerial photographs and Landsat MSS data were adopted for the interpretation of geological features (Goetz & Rowan 1981).…”

Section: Introductionmentioning

confidence: 99%

“…Landsat TM principal component analysis was carried out by Loughlin (1991) for the delineation of alteration mineral zones in the Roberts Mountains, Nevada (Yesou et al 1993) have used SPOT panchromatic image merged with Landsat TM data for the structural mapping and delineation of lithological boundaries between granitic domes and sedimentary formations. The medium-resolution IRS P6 LISS III satellite data was used for the interpretation of the lithology and structure of the Kadavur basin, India (Maheswaran et al 2019). Zhang et al (2007) have processed the ASTER data for the exploration of gold mineral deposits through the interpretation of lithology and mineralogical information.…”

Section: Introductionmentioning

confidence: 99%

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Rock type discrimination using Landsat-8 OLI satellite data in mafic-ultramafic terrain

Tamilarasan,

Anbazhagan,

Ranjithkumar

2023

geol

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The mafic-ultramafic terrain of the Bhavani complex in southern India is considered for lithological mapping. The Landsat-8 OLI satellite data was used for the interpretation of different rock types in the study area. The satellite data were digitally processed using ENVI 5.6 image processing software. In the OLI data, excluding bands 8 and 9, the remaining seven bands were used for the generation of colour composite images, band ratios, principal component analysis and SVM classification. Reflectance spectral measurements were carried out in laboratory conditions for five rock samples collected from the study area. The XRF analysis was carried out to estimate the composition of major oxides present in the rock samples. The results obtained from XRF analysis were compared with the rock spectra in characterizing the spectral features of the rock types. The colour composite images (B543, B567, B456, and B457), PCA composite image (PC312 and PC456), band ratios (BR5/5 and BR4/3), colour composite images from band ratios, and SVM classified output are useful in delineation various rock types in the terrain.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Rock type discrimination using Landsat-8 OLI satellite data in mafic-ultramafic terrain

Tamilarasan,

Anbazhagan,

Ranjithkumar

2023

geol

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GIS-based multi-criteria analysis for identification of potential groundwater recharge zones - a case study from Ponnaniyaru watershed, Tamil Nadu, India

et al. 2020

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Geological Mapping Using Drone-Based Photogrammetry: An Application for Exploration of Vein-Type Cu Mineralization

Honarmand

Shahriari

2021

Minerals

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In this research, drone-based photogrammetry was utilized for mapping geology with the objective of mineral exploration in the Shahzadeh Abbas Cu deposit, Kerman province, Iran. Cu mineralization is of vein-type and follows geological structures. A low-cost drone was used to collect geological data. A spatial resolution of 3.26 cm was achieved by considering a flight altitude of 70 m. To reach the accuracy of less than 5 cm, 70% lateral and 80% front image overlaps were applied and 220 temporary ground control points (TGCPs) were used in an area of 2.02 km2. TGCPs were accurately positioned using DGPS-RTK measurements. Agisoft PhotoScan software was used for photogrammetric processing. The orthophoto product was performed for outlining geological units through visual interpretation. The digital elevation model (DEM) was converted to a hill-shade model in ArcGIS software to extract the geological structures such as faults and dikes. A draft geology map was prepared using orthophoto and hill-shade images to minimize the time and cost of the subsequent field work. Rock sampling was carried out and Cu-bearing veins were specified through field investigations. The geology map was finalized based on field work data and petrology studies. The geological survey indicated that diabase dikes with a northwest–southeast strike often host Cu mineralization in the study area. The position of Cu-bearing dikes was delineated for the next stage of the exploration program. This research demonstrated the time- and cost-effectiveness of using drone-based photogrammetry for preparing base geology maps for the exploration of vein-type mineralization in far districts with rough topography.

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Lithology and Structural Mapping of Kadavur Basin, Tamil Nadu, India, Using IRS P6 LISS III Satellite Data

Cited by 3 publications

References 10 publications

Rock type discrimination using Landsat-8 OLI satellite data in mafic-ultramafic terrain

Rock type discrimination using Landsat-8 OLI satellite data in mafic-ultramafic terrain

GIS-based multi-criteria analysis for identification of potential groundwater recharge zones - a case study from Ponnaniyaru watershed, Tamil Nadu, India

Geological Mapping Using Drone-Based Photogrammetry: An Application for Exploration of Vein-Type Cu Mineralization

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