Remote Sensing
Mina Zamyad; Peyman Afzal; Mohsen Pourkermani; Reza Nouri; Mohammadreza Jafari
Abstract
Tirka area is situated in NE Iran as a part of the TCMB which consists of Paleogene sediments and volcanic rock units with a combination of Eocene intermediate to basic rocks. The research aim is to determine the alteration zones using C-N fractal model based on ASTER satellite images. First, the ASTER ...
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Tirka area is situated in NE Iran as a part of the TCMB which consists of Paleogene sediments and volcanic rock units with a combination of Eocene intermediate to basic rocks. The research aim is to determine the alteration zones using C-N fractal model based on ASTER satellite images. First, the ASTER data was processed using SFF method for determination of iron oxide, propylitic, phyllic, and argillic alteration zones. The C-N fractal model is utilized for the separation of different parts of alteration zones. The results derived via the C-N fractal model showed that the main trend of the alteration zones is in NE-SW direction. Also, based on the C-N log-log plots, there are six geochemical populations for iron oxide alteration, four geochemical populations for argillic and phyllic alterations, and five geochemical populations for propylitic alteration. There is a high intensity of alteration zones commences with 223 for iron oxide, 204 for argillic, 199 for propylitic and phyllic alteration zones. In order to validate the results, field observations and petrographical studies based on thin-polish sections were carried out. These data confirmed the alteration zones obtained by the modeling. the data obtained from the combination methods, were verified by Logratio matrix,
Remote Sensing
Mahya Nazarian; Mohammad Lotfi; Arash Gourabjeripour; Majid Ghasemi Siani
Abstract
The Chomalu Polymetallic deposit is located in western part of Alborz magmatic belt (Alborz-Azarbaijan) and central part of Tarom-Hashtjin metallogenic province. Eocene volcanic settings in the Chomalu deposit consist of basic rocks (olivinebasalt), intermediate (andesite basalt, andesite to trachyandesite) ...
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The Chomalu Polymetallic deposit is located in western part of Alborz magmatic belt (Alborz-Azarbaijan) and central part of Tarom-Hashtjin metallogenic province. Eocene volcanic settings in the Chomalu deposit consist of basic rocks (olivinebasalt), intermediate (andesite basalt, andesite to trachyandesite) and acidic rocks (dacite to rhyolite) which is intruded by quartz monzodiorite, monzosyenite and quartz monzonite intrusive rocks of Eocene. The main texture of volcanic rocks is more porphyritic. Olivine and plagioclase are the main phenocrysts in the olivinebasalt, andesite rocks compose of plagioclase and clinopyroxene and dacite to rhyolite consist of plagioclase, alkali feldspar and quartz. On the basis of AFM diagram, Chomalu volcanic rocks located in the high- K calc- alkaline to shoshonitic affinities in relation to subduction zone magmatism. Primitive mantle-normalized of volcanic rocks indicate that LILE enrichment and HFSE depletion in consistent with subduction zone magmatism. Chondrite-normalized REE patterns show LREE/HREE enrichment. Geochemical results suggesting primary source magmas source for volcanic rocks were generated by partial melting of the metasomatized lithospheric mantle-wedge in relation to subduction arc and were subsequently affected by both fractional crystallization and crustal contamination during magmatic evolution.
Remote Sensing
mohammad sharifikia; jalal karami; Ehsan Falahati
Abstract
Optical Remote Sensing is a low-cost and efficient method to alteration zone detection. However in the area that have been covered by vegetation or alluvial, the identification of these areas is not very accurate with optical images. In this study fusion and integrating of ALOS-PALSAR L-band and ASTER ...
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Optical Remote Sensing is a low-cost and efficient method to alteration zone detection. However in the area that have been covered by vegetation or alluvial, the identification of these areas is not very accurate with optical images. In this study fusion and integrating of ALOS-PALSAR L-band and ASTER data by HSV, HSL, Maximum Likelihood and Artificial Neural Network has been done to discover and enhance the Argilic and Propylitic Alteration zones over the west part of Qazvin province in IRAN. For this purpose, Argilic and Propylitic alterations were primary identified unseeing ASTER image. Then based on geological data and field study, some areas with alterations covered by quaternary sediments, not detectable by ASTER images, were identified. In the following, the integration of the ALOS PALSAR L-band data and the ASTER SWIR bands with HSV, HLS, Maximum Likelihood and Artificial Neural Network were performed. The results of this study showed that the radar and optics data fusion, using HSV and HLS methods, increases the enhancement of visible argillic alteration zones in the study area. Also, the integration of radar and optics data with the Maximum Likelihood and the Artificial Neural Network methods,
Remote Sensing
Seyedeh Sakineh Mousavi; Mehdi Honarmand; Hadi Shahriari; Mahdiye hosseinjanizadeh
Abstract
Mineral exploration in Esfandagheh area, located in south east of Kerman province is complicated due to verity of metallic deposits including volcanogenic massive sulfide copper, skarn iron, and volcanic manganese. This research was carried out with the aim of defining a model for mineral exploration ...
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Mineral exploration in Esfandagheh area, located in south east of Kerman province is complicated due to verity of metallic deposits including volcanogenic massive sulfide copper, skarn iron, and volcanic manganese. This research was carried out with the aim of defining a model for mineral exploration and providing mineral potential map using remote sensing data. ASTER and OLI images along with various image processing techniques including color composite of band ratios, principal component analysis (PCA), and QI and SI indices were applied to recognize the hydrothermal alteration halos. Result validation was done through field and laboratory studies. Argillic, phyllic, propylitic, and iron oxides/hydroxides alterations were enhanced using color composite ratios of ASTER bands like (B4+B7)/B6 in red, (B4+B6)/B5 in green, and (B7+B9)/B8 in blue. Hydrothermal alteration mapping was also accomplished using selected PCA of OLI 2, 4, 6, and 7 bands, ASTER 4 to 9 bands and a combination of OLI 2 and 4 bands along with ASTER 4 to 9 bands. ASTER thermal infrared bands applied to determine QI and SI indices for enhancing silicic halos. Mineral potential map was produced through integrating alteration maps by fuzzy logic method in which seven areas were identified such as Sargaz Kuh copper mine, Hossein Abad manganese mine, and Esfandagheh iron mine. Results showed the possibility of establishing mineral exploration model and producing mineral potential map in reconnaissance and prospecting stages using appropriate sensors and image processing techniques.
Remote Sensing
N. Namazi; M. R. Jafari; A. R. Jafari Rad; A. Khakzad
Volume 29, Issue 113 , November 2019, , Pages 221-228
Abstract
The study area (Pasghaleh) is located North of Tehran and is part of the Central Alborz Mountain Range. Pasghaleh deposit between coordinates 51º 25´15 ̎ up to 51º 25´ 54̎ Eastern longitude and 35º 49´42 ̎ up to 35º 50´15 ̎ Northern latitude in North ...
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The study area (Pasghaleh) is located North of Tehran and is part of the Central Alborz Mountain Range. Pasghaleh deposit between coordinates 51º 25´15 ̎ up to 51º 25´ 54̎ Eastern longitude and 35º 49´42 ̎ up to 35º 50´15 ̎ Northern latitude in North of Tehran, in the geological sheet with a scale of 1:100000 Tehran and is located East of the Pasghaleh village. Intrusive bodies in this area with age after the Eocene in penetrating Eocene volcanic and pyroclastic units and have altered these units. For mapping minerals and explore the alteration patterns together with Polymetal mineralization in the metallogenic zone Pasghaleh, for sine satellite ASTER and ETM spectral processing and interpretation. According to remote sensing data, it leads to the appearance of Kaolinite and Montmorillonite minerals (Argillic alteration index), Chlorite, Epidote and Calcite (Propylitic alteration index), Muscovite (Sericite alteration index) and Gossan in the range studied. Major mineralization in the region in acid Tuffs altered and scattered. The lithology of this region including pyroclastic rocks of Karaj Formation with Eocene age. Sulfuric minerals observed Pyrite, Chalcopyrite, Sphalerite and Galena. In the whole region Pyrite expands but Lead mineralization, Zinc, Copper, Gold and Silver which process is parallel to the general layering of classes Tuff Silica altered- Feldspathic- Pyrite slightly observed. Pyrite form syngenetic among the Tuffs.Tuffs in formation stage and in the stage of diagenesis, the alteration process Sericitic, Kaolinite and or Chlorite have tolerated. In terms of construction, altered zone mineralize Pasghaleh as a lens and layers plate form between rock units Dacite, Rhyodacite are formed. Based on the study of remote sensing data, presence of alterations Sericite, Argillic and Propylitic (the presence of Chlorite and Epidote) proven in the region, consequently by putting together these alterations to one another, it can be attributed to the alteration pattern of Kuroko Massive sulfide deposits.
Remote Sensing
A. Eskandari; S. Amini; F. Masoudi
Abstract
Monitoring quiescent volcano such as Damavan is vital. In this research, we investigate the changes of land surface temperature (LST) around the Damavand volcano during 23 years period. The evaluations were done on the thermal anomaly areas related to geothermal activity and results compared with non-anomalously ...
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Monitoring quiescent volcano such as Damavan is vital. In this research, we investigate the changes of land surface temperature (LST) around the Damavand volcano during 23 years period. The evaluations were done on the thermal anomaly areas related to geothermal activity and results compared with non-anomalously thermal areas. The surface thermal anomalies were detected on the basis of processing of Landsat day and night-time images and combination with geological information layers. The average of calculated values for geothermal heat flux (GHF) in the geothermal areas was 42 W/m2 (in the day-time image) and 20 W/m2 (in night-time image). The total radiant GHF in thermal anomaly areas estimated 50 MW (in night-time image) and 119 MW (in the day-time image). The thermal anomaly areas have a close spatial relationship with faults, hot springs, lithology, hydrothermal alterations, active deformation regions and subsurface high heat flow data. After determining thermal anomaly areas related to the geothermal activity, the changes of LST patterns were compared in the six TM and ETM+ images (captured from the same month and overpass time) during 1988- 2011. The highest temperatures were recorded in 2002 and 2007 images, that in line with seismic events and changes in hot springs chemistry. The thermal infrared remote sensing can be used as a cost effective and concise method for monitoring of quiescent and even dormant volcanoes of Iran.
Remote Sensing
R. Ahmadi Rohany; M. H. Karimpour; B. Rahimi; A. Malakzadeh Shafaroudi; S. Najafi Afshar
Abstract
The studied area is located at the east of Bajestan city and south west of Khorasan Razavi province. This region is at the north of the Lut Block, the largest structural block in east of Iran. Structure of this area is affected by activity of deep strike-slip faults in the boundary of the blocks. Lineaments ...
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The studied area is located at the east of Bajestan city and south west of Khorasan Razavi province. This region is at the north of the Lut Block, the largest structural block in east of Iran. Structure of this area is affected by activity of deep strike-slip faults in the boundary of the blocks. Lineaments are mapped by the means of SPOT-5 and Landsat satellite data and DEM data. Structural studies were carried out in two stages: at first, main faults were indicated, mapped and analyzed and then for more detail research, total lineaments (faults and joints) were mapped and analyzed. Verification studies were conducted with field surveys. Remote sensing studies indicate importance of applying enhancement filters like standard kernels on stereoscopic data like SPOT as an efficient tool for structural studies, especially for lineament extracting. Fractal studies and using fractures statistical parameters (based on fracture map obtained by remote sensing data (in the area in addition to determining fractal dimension, were used as complementary methods for recognition structural evolution and specifying the most probability of mineralization occurrence. Fractal, structural- statistical analyzes, field and remote sensing studies on fracture systems in the area indicate that structural elements in the studied area, most probably are related to the main strike-slip faults activities and can be considered as Riedel shear fractures in its wall of damage zone. Also the results indicate that most of the lineaments in this area are extensional fractures corresponding to both dykes emplacement and alteration zones associated with mineralization. Combining the mentioned information can play important role in identifying structural evolution processes and specifying areas with more mineralization potential.