M Refoseh; A Shaker Ardakani; H Ranjbar
Abstract
Volcanic, sub-volcanic (dyke) and pyroclastic (agglomerate and tuff) rocks of Eocene age are located in the Kalmard block in the north and northeast of Kerman City. Petrographically, the lavas are basalt, andesite, rhyodacite and rhyolite, whereas the dykes and pyroclastic rocks are andesite and crystal ...
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Volcanic, sub-volcanic (dyke) and pyroclastic (agglomerate and tuff) rocks of Eocene age are located in the Kalmard block in the north and northeast of Kerman City. Petrographically, the lavas are basalt, andesite, rhyodacite and rhyolite, whereas the dykes and pyroclastic rocks are andesite and crystal tuff in composition respectively. The porphyritic, microlitic-porphyritic and trachytic are the main textures and mineralogically consist of plagioclase± quartz± K-feldspar ± biotite± amphibole± clinopyroxene± olivine+ opaque minerals. Plagioclases show evidences of disequilibrium textures such as sieve texture, resorption and zoning; whereas quartzes have resorbed margins, and amphiboles and biotites are only slightly opacitized. These textures can be resulted from magma mingling, PH2O variations, and decompression with minor loss of temperature during magmatic ascent. Geochemical studies revealed that the volcanic rocks belong to a sub-alkaline magmatic series with calc-alkaline nature. Furthermore, acidic volcanic rocks are metaluminous to peraluminous and show characteristics of I-type granitoids. The trace element discrimination diagrams along with chondrite-normalized rare earth element patterns show that the igneous rocks formed in an active continental arc environment.
M.R Shayestehfar; M Mohammadi; A Rezaei; H Ranjbar
Abstract
With detection of the magnetic minerals along with the chromite, it is possible to prospect the chromite deposits. Chromite has no magnetic properties but from the genetic aspects, there is a close relation between chromite and magnetite. With this respect and the magnetic differences of chromite minerals ...
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With detection of the magnetic minerals along with the chromite, it is possible to prospect the chromite deposits. Chromite has no magnetic properties but from the genetic aspects, there is a close relation between chromite and magnetite. With this respect and the magnetic differences of chromite minerals with the country rocks, the effort was to prospect the chromite mineralization of 1: 50000 Abdasht sheet by the use of air born geophysical data. In the study of the geophysical air born of the area, the observed magnetic piles in the area has been investigated by using of the digital filters of reduce to pole, first and second derivations, analytical signals and upwards continuation on the map of the magnetic field of the total intensity. With the study of these maps and compare them with the area, especially ophiolite and ultramafic bodies and chromite-included areas have been studied and the final results are compared with the magnetic pattern and with respect to the maps of the vertical derivation and upwards continuation, 25 areas for the detailed exploration and field sampling area suggested in the entire sheet of the Abdasht.
B Bahrambeygi; H Ranjbar; J Shahabpour; S.H Moeinzadeh
Abstract
Hyperspectral images of Hyperion sensor is a rich source of information with 242 narrow contiguous spectral bands. Among these, there are a number of atmospheric agents, which contaminate the content of various information bands. Therefore, to obtain the complete advantage of a Hyperspectral image in ...
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Hyperspectral images of Hyperion sensor is a rich source of information with 242 narrow contiguous spectral bands. Among these, there are a number of atmospheric agents, which contaminate the content of various information bands. Therefore, to obtain the complete advantage of a Hyperspectral image in optimum condition, atmospheric correction is an inevitable process. Atmospheric corrections may be conducted by two methods, namely data based, and scene based. In the scene based methods, spectral anomalies are detected and corrected by using self-image spectral information processing without a field information requirement. In this study, two scene based atmospheric correction methods of Quick Atmospheric Correction (QUAC) and Internal Average Relative Reflectance (IARR) were examined on Hyperion image of Masahim volcanic crater. To evaluate the results of these two scenesbased methods, the results of field spectroscopy and data based empirical line method were used. X-ray diffraction and spectral analysis of selected samples, whose locations were determined through SAM method, illustrated kaolinite pattern as index mineral of argillic zone.In order to compare the results obtained from different atmospherically corrected images quantitatively, maximum probability pixels obtained from SAM method were evaluated for each corrected images in classified information format. After drawing the accuracy matrix for classified pixels and sampled and investigated pixels in the field and laboratory studies, the accuracy coefficients were calculated for the favorable districts of the corrected images bytwo scene based methods and ELM method. The examination results display the producer accuracy of 74.58 percent for IARR corrected images and a producer accuracy of 35.5 percent for QUAC corrected image; whereas the ELM data based correction method despite using field spectrometry data shows the producer accuracy of 74.58 percent. Therefore, in discrimination of argillic zone in semi-arid regions, IARR atmospheric correction method is considered as suitable and affordable preprocessing method to retrieve spectral information from the hyperspectral data.
F. Masoumi; H. Ranjbar
Abstract
The study area covers the northern half of the Baft 1/100000 geological map in Dehaj-Sarduiyeh volcanic-sedimentary and ophiolitic belts. The aim of this research was application of multispectral ASTER and ETM+ data for determining the altered areas by using different image processing techniques. In ...
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The study area covers the northern half of the Baft 1/100000 geological map in Dehaj-Sarduiyeh volcanic-sedimentary and ophiolitic belts. The aim of this research was application of multispectral ASTER and ETM+ data for determining the altered areas by using different image processing techniques. In order to separate altered zones, false color composite of the ratios was applied on ASTER data that separated propylitic and phyllic/argillic altered zones. Separation of carbonate areas from the altered areas was achieved by making false color composite ratios. Another method for separation of carbonate areas from the altered zone was by applying principal component analysis (PCA) on short wave bands of ASTER data. A color composite of PC2, PC3, -PC4 in red, green and blue respectively was useful for separating carbonate from altered areas. Spectral Angle mapper method was also used for recognizing and mapping the minerals such as muscovite, chlorite, kaolinite, calcite and epidote in altered zones. Sampling from the altered areas and their analysis showed that this method could be used for recognizing the minerals in the altered areas, if they have enough spatial extent.
