2007
DOI: 10.1016/j.jseaes.2006.09.004
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The application of advanced space-borne thermal emission and reflection (ASTER) radiometer data in the detection of alteration in the Chadormalu paleocrater, Bafq region, Central Iran

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Cited by 58 publications
(27 citation statements)
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“…For example, ASTER has 14 spectral bands covering visible (VIS) and nearinfrared (NIR) (bands 1-3), SWIR (bands 4-9), and thermal infrared TIR spectra (bands [10][11][12][13][14]. Thus, the wavelengths of iron oxides and hydroxides derived in the present study from VIS and NIR (400-900 nm) and SWIR (2000-2450 nm) show a close correlation with band 1 (520-600 nm), band 2 (630-690 nm), band 3 (780-860 nm), and SWIR band 5 (2145-2185 nm), band 6 (2185-2225 nm), band 7 (2235-2285 nm), band 8 (2295-2365 nm) and band 9 (2360-2430 nm) of ASTER, respectively [74][75][76][77][78][79]. Especially the five SWIR bands correlate well with the wavelengths of hydroxides.…”
Section: Discussionmentioning
confidence: 80%
“…For example, ASTER has 14 spectral bands covering visible (VIS) and nearinfrared (NIR) (bands 1-3), SWIR (bands 4-9), and thermal infrared TIR spectra (bands [10][11][12][13][14]. Thus, the wavelengths of iron oxides and hydroxides derived in the present study from VIS and NIR (400-900 nm) and SWIR (2000-2450 nm) show a close correlation with band 1 (520-600 nm), band 2 (630-690 nm), band 3 (780-860 nm), and SWIR band 5 (2145-2185 nm), band 6 (2185-2225 nm), band 7 (2235-2285 nm), band 8 (2295-2365 nm) and band 9 (2360-2430 nm) of ASTER, respectively [74][75][76][77][78][79]. Especially the five SWIR bands correlate well with the wavelengths of hydroxides.…”
Section: Discussionmentioning
confidence: 80%
“…Finally, mineralized limestone appears in bright pixels in PC4, following the positive contribution of band 6 (0.458) of reflectance. In the same PC, Alluvium can be discriminated by bright pixels, despite the weak positive contributions in band 7 (0.062), which represent the absorption band of this rock unit [9,25,27,31]. For both sensors, the other remaining PCs contain only noise, and therefore cannot provide any information (figure 2f).…”
Section: Selection Of Pca Bnads For Discriminating Lithologiesmentioning
confidence: 99%
“…In addition, mineralized limestone spectra show high reflectance in band 6 (OLI) and 4 (ASTER), and a weak absorption at 2200 nm, which coincides with bands 7 of OLI and 6 of ASTER, possibly due to the weak gypsum and clay alteration [20,26]. The spectral signature extracted from the ASTER data, which is also characterized by a deep absorption at 2330 nm (band 8), can be related to the presence of carbonate minerals [12,24] After examining different combinations of ratios, two Color Components (CCs) RGB (for each sensor) were chosen to better discriminate the existing lithological units and mineralized zones [9,27,28,29]. In CC1 (6/5, 7/6, 4/7) of OLI, the mudstone-sandstone is distinguished by a yellow-orange color, and it appears purple in CC3 [(6 + 8)/4; 8/4; 5/3] of ASTER, and it appears light blue-green in CC2 (5/4, 6/5, 7/2) of OLI.…”
Section: Selection Of Band Combinations For Discriminating Lithologiesmentioning
confidence: 99%
“…The ASTER is an advanced optical sensor comprised of 14 spectral channels that will provide scientific and also practical data regarding various field related to the study of the earth (Rowan & Mars, 2003;Moghtaderi et al, 2007;Yousefifar et al, 2011). Numerous factors affect the signal measured at the sensor, such as drift of the sensor radiometric calibration, atmospheric and topographical effects.…”
Section: Remote Sensing Interpretationmentioning
confidence: 99%