Combined use of ASTER and ALI data for hydrothermal alteration mapping in the northwestern part of the Kerman magmatic arc, Iran

Honarmand, Mehdi; Ranjbar, Hojjatollah; Shahabpour, J.

doi:10.1080/01431161.2012.731540

Cited by 35 publications

(33 citation statements)

References 30 publications

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“…The Sar Cheshmeh deposit is estimated to contain approximately 1.200 million tons of 1.2 percent copper with significant amounts of molybdenum (0.03 percent) and gold (0.01 percent) [34]. Several remote sensing studies have been conducted in this region during recent years [35,36,37,38].…”

Section: Geology Of the Study Areamentioning

confidence: 99%

Hydrothermal alteration mapping from Landsat-8 data, Sar Cheshmeh copper mining district, south-eastern Islamic Republic of Iran

Pour

Hashim

2015

Journal of Taibah University for Science

151

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This study presents the applicability of recently launched Landsat-8 data for hydrothermal alteration and lithological mapping aim at porphyry copper exploration in arid and semi-arid regions. Sar Cheshmeh copper mining district in the southeastern part of the Urumieh-Dokhtar volcanic belt, SE Iran has been selected as a case study. Several Red-green-Blue (RGB) color combination images and specialized band ratios were developed using Landsat-8 bands. Band ratios derived from image spectra (4/2, 6/7, 5 and 10 in RGB) allow the identification of altered rocks, lithological units and vegetation at a regional scale. Analytical imaging and geophysics developed hyperspectral analysis processing methods were applied to Landsat-8 bands to identify alteration zone associated with known porphyry copper deposits. Mixture Tuned Matched Filtering (MTMF) method was used to detect alteration zones associated with known porphyry copper deposits in the study area. Fieldwork, pervious remote sensing studies and laboratory analysis were utilized to verify the image processing results derived from Landsat-8 bands. It is concluded that Landsat-8 bands especially bands 2 and 4 in visible and near-infrared, 6 and 7 in shortwave infrared, and 10 in thermal infrared contain useful spectral information for porphyry copper exploration purposes. Moreover, thermal infrared bands of Landsat-8Page 2 of 32 A c c e p t e d M a n u s c r i p t 2 significantly improved the quality and availability of thermal infrared remote sensing data for lithological mapping. The achievements of this investigation should have considerable implications for geologists to utilize Landsat-8 Operational Land Imager (OLI)/ Thermal Infrared Sensor (TIRS) data for porphyry copper exploration and geological purposes in the future.

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Section: Geology Of the Study Areamentioning

confidence: 99%

Hydrothermal alteration mapping from Landsat-8 data, Sar Cheshmeh copper mining district, south-eastern Islamic Republic of Iran

Pour

Hashim

2015

Journal of Taibah University for Science

151

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“…Mars and Rowan 2011;van der Meer et al 2012;Honarmand, Ranjbar, and Shahabpour 2013). ASTER SWIR bands have a high degree of accuracy that can be used to distinguish distinct spectral shapes for carbonate, hydrate and hydroxyl-bearing sulphate, silicate, and other minerals that contain significant SWIR absorption features.…”

Section: Introductionmentioning

confidence: 99%

Comparison of multi-temporal ASTER images for hydrothermal alteration mapping using a fractal-aided SAM method

Shahriari

Honarmand

Ranjbar

2015

International Journal of Remote Sensing

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The shortwave infrared (SWIR) spectral bands of four multi-temporal images acquired by the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) on NASA's Terra platform were analysed for evaluating the effects of acquisition properties and atmospheric pre-processing levels on the resulting hydrothermal alteration maps a using the fractal-aided Spectral Angle Mapper (SAM) method. Three ASTER level-1B products covering the Sar Cheshmeh area in Iran were used for hydrothermal alteration mapping. These images were converted to surface reflectance using the Fast Line-of-sight Atmospheric Analysis of Spectral Hypercubes (FLAASH) method. The low reflectance of band 5 of the level-1B products was compensated for by using the spectra of collected rock samples. Level-2 (AST2B05S) SWIR ASTER images that had already been processed were also used. Reference spectra of the main hydrothermal alteration types were extracted for each product. The threshold angles were determined using the real value-area (RV-A) fractal technique. Then, SAM classification was carried out to map hydrothermal alteration for every product. It is concluded that the level-1B products that had been converted to reflectances have a better spectral contrast than the AST2B05S product. Summer images with lower tilt angle and higher solar elevation should be used to increase the accuracy of the image classification and minimize the effect of vegetation on the spectra of index minerals. By comparing the resulting hydrothermal alteration maps with known alteration types using a confusion matrix, it was shown that the application of the RV-A fractal technique to produce less biased threshold angles increases the accuracy of SAM classification.

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“…In addition to visual interpretation, recent advances on this issue include (1) introduction of multi‐source data (Gabr, Hassan, & Sadek, ), e.g. remotely sensed data combined with aeromagnetic anomaly or airborne radioactive information; (2): employment of novel processing technologies, therein, texture classification (Atkinson & Lewis, ), Wavelet Transform, fractal analysis (Honarmand, Ranjbar, & Shahabpour, ), spectral matched filtering (MF), and so forth, are among the most advanced methods for geological information extraction. However, current studies were conducted preferentially in arid and semi‐arid areas where the strata are well‐exposed and have fewer surface covering—loess, glaciers, vegetation, and so on (Hamut & Zhang, ).…”

Section: Introductionmentioning

confidence: 99%

An integrated approach for extraction of lithology information using the SPOT 6 imagery in a heavily Quaternary‐covered region—North Baoji District of China

Han

Zhao

et al. 2017

Geological Journal

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We studied the applicability of SPOT (Systeme Probatoire d'Observation de la Terre) 6 satellite imagery for red sandstone interpretation in the heavily loess‐covered northern Baoji District, China, which is always a crucial but challenging issue in remote sensing geological mapping. First, the non‐ or sparsely vegetated subareas were outlined in order to narrow the interpretation target area; second, band‐math and the fractal “DN‐N” (digital number‐frequency) algorithm was conducted to extract the sandstone‐associated anomalies; third, a series of spatial analysis, for example, overlaying and clumping, was employed for elimination of the false anomalies; finally, we took advantage of matched filtering to discern the non‐ (red) sandstone outcrops in local areas. Generally, the interpretation accuracy based on this novel technical proposal is acceptable—74% or slightly less (taking the geological sketch as reference criteria)—and can be well proven by field investigation. This study may have contributed a useful case study for remote‐sensing lithological mapping in the Quaternary‐covered areas.

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Combined use of ASTER and ALI data for hydrothermal alteration mapping in the northwestern part of the Kerman magmatic arc, Iran

Cited by 35 publications

References 30 publications

Hydrothermal alteration mapping from Landsat-8 data, Sar Cheshmeh copper mining district, south-eastern Islamic Republic of Iran

Hydrothermal alteration mapping from Landsat-8 data, Sar Cheshmeh copper mining district, south-eastern Islamic Republic of Iran

Comparison of multi-temporal ASTER images for hydrothermal alteration mapping using a fractal-aided SAM method

An integrated approach for extraction of lithology information using the SPOT 6 imagery in a heavily Quaternary‐covered region—North Baoji District of China

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