Lithological Discrimination and Mapping using ASTER SWIR Data in the Udaipur area of Rajasthan, India

Kumar, Chandan; Shetty, Amba; Raval, Simit; Sharma, Ram P.; Ray, P. K. Champati

doi:10.1016/j.proeps.2015.06.022

Cited by 59 publications

(29 citation statements)

References 25 publications

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“…The ASTER data has offered a great opportunity of using these datasets for mapping of various lithological units of minerals, hydrothermal alteration and various enhancement techniques such as Principal Component Analysis (PCA), Minimum Noise Fraction (MNF), Independent Component Analysis (ICA), spectral mapping algorithms such as Spectral Angle Mapper (SAM) has been well employed in the study (Kumar et al 2015).…”

Section: Resultsmentioning

confidence: 99%

“…The orthorectified images were applied to cross track illumination correction for eliminate the effects of energy overspill from band 4 into bands 5 and 9. Thecrosstrack illumination is very essential for SWIR bands for accurate results (Kumar et al 2015). After, this process the bands were subjected to FLAASH atmospheric correction using ENVI 5.1 software.…”

Section: Preprocessing (Atmospheric Correction)mentioning

confidence: 99%

See 1 more Smart Citation

Lithological Discrimination of Anorthosite using ASTER data in Oddanchatram Area, Dindigul district, Tamil Nadu, India

Gurugnanam¹,

Arulbalaji²,

Midhuna³

et al. 2017

IJAEMS

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Section: Resultsmentioning

confidence: 99%

Section: Preprocessing (Atmospheric Correction)mentioning

confidence: 99%

Lithological Discrimination of Anorthosite using ASTER data in Oddanchatram Area, Dindigul district, Tamil Nadu, India

Gurugnanam¹,

Arulbalaji²,

Midhuna³

et al. 2017

IJAEMS

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“…For rocks, these spectra vary with several factors; After (Abdelmalik and Abd-Allah, 2017); rock type, thickness, geometry, isotropism, metamorphism and weathering are the main factors controlling the reflection behaviour of these rocks. Thus, to highlight the spectral characteristics of each rock, several studies (Adiri et al, 2017;Amri et al, 2017;Asadzadeh and de Souza Filho, 2016;BinamMandeng et al, 2018;Kumar et al, 2015;Ninomiya and Fu, 2016;Pour and Hashim, 2012;Rajendranand Nasir, 2017) have used many enhancement treatments on Landsat and/or Aster images. Many authors reviewed various methods and various spectral processing for geological mapping e.g.…”

Section: Introductionmentioning

confidence: 99%

The Contribution of Sentinel-2 Satellite Images for Geological Mapping in the South of Tafilalet Basin (Eastern Anti-Atlas, Morocco)

Fal

Maanan

Baïdder

et al. 2019

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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<p><strong>Abstract.</strong> Geological mapping in desert, mountainous or densely vegetated areas are sometimes faced with many constraints. Recently several remote sensing methods are used on ASTER or LANDSAT imagery for making that task easier. The aim of this paper is to evaluate the applicability of some of these methods on Sentinel-2A images. The study, therefore, focuses on a lithological classification using these multispectral images in the south of the Tafilalet basin. To achieve this goal, two L1C level images were used. Decorelation stretch combined with the optimal index factor (OIF) and Minimum Noise Fraction (MNF) were the main improvements used for RGB combination images. The classifiers Spectral Angle Mapper (SAM) and the Maximum Likelihood classifier (MLC) have been evaluated for a most accurate classification to be used for our lithofacies mapping. The latest drawn geological maps and RGB images of false colour combinations were used to select regions of interest (ROI) as the endmembers to use for these classifiers. Obtained results showed a clear discrimination of the different lithological units of the study area. Classifications evaluation showed that the Maximum likelihood classifier is more accurate with an overall accuracy of 76% and a Kappa coefficient is 0.74. Finally, this study has shown the importance of the use of sentinel-2 multispectral images in geological mapping and has shown that the high spectral resolution of the VNIR and SWIR bands creates a synergy with the high spatial resolution for optimal lithological mapping.</p>

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“…The ASTER VNIR bands are useful for the detection and mapping of iron stained zones. The six ASTER SWIR bands record in a wavelength region where carbonate, hydrate and hydroxide mineral spectra display molecular absorption features related to overtones and combination tones (Hunt, 1982;Clark, 1999;Crosta et al, 2003;Rowan and Mars, 2003;Rowan et al, 2005;Di Tommaso and Rubinstein, 2007;Tangestani et al, 2008;Mars and Rowan, 2011;Pour and Hashim, 2012;Guha et al, 2013;Son et al, 2014;Tayebi et al, 2014;Rajendran and Nasir, 2015;Kumar et al, 2015;Pour et al, 2017). The ASTER TIR bands can detect and map the spatial distribution of minerals (e.g., quartz, carbonate), and lithologies that display emission features in the thermal infrared atmospheric window (8-12 µm) (Rockwell and Hofstra, 2008;Ninomiya and Fu, 2016).…”

Section: Introductionmentioning

confidence: 99%

Application of Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) multispectral imagery to mineral and lithologic mapping in southern West Greenland

Bedini¹

2018

Jour. Hypers. Rem. Sensg.

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Remote sensing data acquired by the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) were used for mineral and lithologic mapping at the Sarfartoq carbonatite complex area in southern West Greenland. The geology of the study area consists of carbonatites, fenites, hydrothermal alteration zones, gneisses, alluvial deposits etc. The Adaptive Coherence Estimator algorithm was used to analyze the remote sensing data. The reference spectra were selected from the imagery. The mapping results show the distribution of carbonatite, hydrothermally altered zones, fenite, and sericite. In addition, lichen and tundra green vegetation were also mapped. Due to the moderate spatial resolution of ASTER SWIR bands, it was not possible to detect and map the rock units in some parts of the study area. The study shows the possibilities and limitations of the use of the ASTER multispectral imagery for geological studies in the Arctic regions of West Greenland. The paper is the first reported study on the use of ASTER data for mineral and lithologic mapping in the Arctic regions of West Greenland.

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Lithological Discrimination and Mapping using ASTER SWIR Data in the Udaipur area of Rajasthan, India

Abstract: The present study applies the Principal

Cited by 59 publications

References 25 publications

Lithological Discrimination of Anorthosite using ASTER data in Oddanchatram Area, Dindigul district, Tamil Nadu, India

Lithological Discrimination of Anorthosite using ASTER data in Oddanchatram Area, Dindigul district, Tamil Nadu, India

The Contribution of Sentinel-2 Satellite Images for Geological Mapping in the South of Tafilalet Basin (Eastern Anti-Atlas, Morocco)

Application of Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) multispectral imagery to mineral and lithologic mapping in southern West Greenland

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