Spectral transformation of ASTER and Landsat TM bands for lithological mapping of Soghan ophiolite complex, south Iran

Pournamdari, Mohsen; Hashim, Mazlan; Pour, Amin Beiranvand

doi:10.1016/j.asr.2014.04.022

Cited by 71 publications

(36 citation statements)

References 46 publications

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“…ASTER data has also been used in mapping ophiolites in different parts of the globe (Kalinowski and Oliver, 2004;Khan and Mahmood, 2008;Khan et al, 2007;Pour and Hashim, 2012;Pournamdari et al, 2014;van Der Meer et al, 1997.…”

Section: Aster Data Processingmentioning

confidence: 99%

“…In this regard, attempts have been made to delineate ophiolites and their different components like gabbro, pillow lava, serpentinised harzburzite etc. based on derivation of band ratios and band ratio derived false color composites (Pournamdari et al, 2014;Rajendran et al, 2012). It was observed that serpentine rich rocks have their diagnostic absorption signatures around 1.4 and 2.3 lm wavelength region and these spectral features specifically the one at 2.3 lm can be used to delineate ultramafic rocks based on processing of the ASTER data .…”

Section: Introductionmentioning

confidence: 98%

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Implementation of reflection spectroscopy based new ASTER indices and principal components to delineate chromitite and associated ultramafic–mafic complex in parts of Dharwar Craton, India

Guha

Ghosh

Kumar

et al. 2015

Advances in Space Research

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Section: Aster Data Processingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 98%

Implementation of reflection spectroscopy based new ASTER indices and principal components to delineate chromitite and associated ultramafic–mafic complex in parts of Dharwar Craton, India

Guha

Ghosh

Kumar

et al. 2015

Advances in Space Research

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“…The use of remote sensing as an advanced and efficient technique has shown its advantages in several fields such as lithological and mineralogical mapping and lineament mapping [1], [2]. On the one hand, it has reduced the cost and time of field investigations and on the other hand, it offers a variety of multispectral and hyperspectral data covering a large area [3], [2], [4].…”

Section: Introductionmentioning

confidence: 99%

“…In addition, radar remote sensing has been widely used in geological mapping as it is extremely operational in the acquisition of images day and night and even below clouds [10], [11]. Pournamdari et al (2014) Amer et al (2010) showed that ASTER data have important potential for mapping granitic and ophiolitic rocks by applying band ratios (2 + 4) / 3, (5 + 7) / 6, (7 + 9) / 8. Also, a color composite of the ACP bands (5,4,2) showed satisfied results to identify ophiolitic rocks The Moroccan Anti-Atlas is a mountain belt in southwestern Morocco, oriented ENE-WSW about 800 km long and 200 km wide ( Fig.…”

Section: Introductionmentioning

confidence: 99%

Application of Remote Sensing Data in Lithological Discrimination of Kerdous Inlier in the Anti Atlas Belt of Morocco

Jellouli

Harti

Adiri

et al. 2019

JOIV : Int. J. Inform. Visualization

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Remote sensing data reveals a great importance for lithological mapping due to their spatial, spectral and radiometric characteristics. Lithological mapping using spatial data is a preliminary and important step to mineral mapping. In this work, several spectral and radiometric transformations methods were applied on Landsat 8 OLI data to enhance lithological units in the study area situated in the Anti Atlas belt. The methods of Optimum Index Factor (OIF), Decorrelation Stretching (DS), Principal Components Analysis (PCA) and Band Ratioing (BR) showed good results for lithological mapping in comparison with the existing geological and field investigation. An RGB color composite of OLI bands 651 was developed for mapping lithological units of the study area by fusing optimum index factor (OIF) and decorrelation stretching methods. furthermore, Band ratios derived from image spectra were applied in two RGB color composites (7+4/2, PC1, PC2) and (PC1, 7/6, 3/7) providing good discrimination of the lithological units. The Landsat-8 OLI data significantly provided satisfied results for lithological mapping.

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“…Hydrothermal alteration zones associated with porphyry copper deposits can be discriminated from one another by virtue of the spectral absorption features of the most dominant minerals. Hydroxyl‐bearing minerals, including clay and sulfate groups, as well as carbonate minerals, present diagnostic spectral absorption features in the visible, near‐infrared, and shortwave infrared spectra due to vibrations of Al–OH, Mg–OH, and CO 3 groups (Pour and Hashim, , ; Pournamdary et al , , b). The phyllic zone, which is characterized by illite/muscovite (sericite) minerals, has an intense Al–OH absorption feature approximately 2.20 μm.…”

Section: Introductionmentioning

confidence: 99%

Porphyry Copper Deposit Prognosis in the Middle Region of the Bangonghu–Nujiang Metallogenic Belt, Tibet, Using ASTER Remote Sensing Data

Dai

Song

2017

Resource Geology

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The Bangonghu-Nujiang metallogenic belt is considered to be Tibet's third copper belt after the Yulong and Gangdese copper belts. The Duolong gold-rich porphyry copper deposit, located in the western part of the Bangonghu-Nujiang belt was recently recognized as a superlarge prospect. The Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) was used to characterize the Duolong porphyry deposit alteration area, and three methods, color enhancement, band ratio transformation, and spectral angle mapping, were utilized to extract the phyllic and argillic alteration zones, which are typically considered the most important predictors of porphyry copper. Seven prospecting areas, which match mapped alteration zones, were delineated in the Duolong deposit. In addition, an ASTER image of the eastern region of the Bangonghu-Nujiang belt in the Xiongmei area was used to extract alteration information, and an area with image characteristics similar to the Duobuza and Bolong ore deposits was identified as a prospecting area. Numerous malachite outcrops were identified in the field, and both laboratory analysis and isotopic dating confirmed that the deposit had formed concurrently with the Duobuza deposit (119 Ma). Geologic mapping at the 1:5000 scale was conducted in the area, and three types of ore-bearing rocks were identified, indicating that this area has significant potential to host ore deposits. The discovery of the Xiongmei copper mining area is significant for the Bangonghu-Nujiang belt.

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Spectral transformation of ASTER and Landsat TM bands for lithological mapping of Soghan ophiolite complex, south Iran

Cited by 71 publications

References 46 publications

Implementation of reflection spectroscopy based new ASTER indices and principal components to delineate chromitite and associated ultramafic–mafic complex in parts of Dharwar Craton, India

Implementation of reflection spectroscopy based new ASTER indices and principal components to delineate chromitite and associated ultramafic–mafic complex in parts of Dharwar Craton, India

Application of Remote Sensing Data in Lithological Discrimination of Kerdous Inlier in the Anti Atlas Belt of Morocco

Porphyry Copper Deposit Prognosis in the Middle Region of the Bangonghu–Nujiang Metallogenic Belt, Tibet, Using ASTER Remote Sensing Data

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