List of articles (by subject) Remote Sensing
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Open Access Article
1 - Investigation of alterations and lineaments in Rashid-Abad mineral area (N Zanjan, NW Iran), Using integration of Remote Sensing and Aeromagnetic data
Mahsa Seyyedi Mohammad Lotfi Arash Gourabjeripour Afshin Ashja ArdalanIn this research, remote sensing and aeromagnetic data sets were integrated to investigate structural features and alteration zones of Rashid-Abad mining area. This area is located approximately 45 km north of Zanjan, in the Alborz (western)-Azerbijan zone, NW Iran. For MoreIn this research, remote sensing and aeromagnetic data sets were integrated to investigate structural features and alteration zones of Rashid-Abad mining area. This area is located approximately 45 km north of Zanjan, in the Alborz (western)-Azerbijan zone, NW Iran. For this reason, two main lineaments with the E-W and NW-SE trends were detected using a sun-angle filter of OLI data and, analytic signal (AS) and first-order vertical derivative (FVD) techniques of aeromagnetic data. The other lineaments with other trends in the area are controlled by the same two major lineaments. In order to identify alterations, the methods of band ratio (BR) in ETM+ and OLI, false-color composite (FCC), relative absorption band depth (RBD), and spectral angle mapper (SAM) in ASTER image processing were used in the study area. The results showed the presence of iron oxide, argillic, phyllic, propylitic, and silicic alterations. Also, the area’s aeromagnetic response to different alteration regions was investigated by matching aeromagnetic anomalies with alteration zones. In addition, it was concluded that, iron oxide alterations with negative magnetic anomalies, phyllic alterations with moderate positive magnetic anomalies, and also argillic and silicic alterations with moderate to increasing positive magnetic anomalies were associated. Also, propylitic alterations did not show a significant relationship with magnetic values. Manuscript profile -
Open Access Article
2 - Extracting clay minerals with emphasis on Bentonite in Eastern Iran, using Landsat 8 and ASTER images
Saeed Saadat Maliheh Ghoorchi Rahim DabiriThe prospecting area is located in the eastern part of Iran. Aster and Landsat 8 satellite images were processed with different spectral analyses techniques to detect the clay representing the alteration zones, with emphasis on bentonite occurrences in the study area. B MoreThe prospecting area is located in the eastern part of Iran. Aster and Landsat 8 satellite images were processed with different spectral analyses techniques to detect the clay representing the alteration zones, with emphasis on bentonite occurrences in the study area. Band ratio (BR), Spectral Angle Mapper (SAM), Mixture Tuned Matched Filtering (MTMF), Principal Component Analysis (PCA), Spectral Feature Fitting (SFF), and Least Square Fit (LS-Fit) techniques were performed to show the promising areas for clay mineral. Band ratios of 6/7, 6/5, and 4/2 from Landsat 8 OLI imagery and 4/6, 5/6, 5/8, from ASTER were used to enhance clay alterations. The results obtained from the supervised classification using the SAM algorithm for minerals from US Geological Survey spectral library (USGS) have been compared with the results of Jet Propulsion Laboratory (JPL) spectral library. The Sequential Maximum Angle Convex Cone (SMACC) algorithm also performed to detect same minerals. Comparing the different analyzing satellite image based on ASTER data indicate all methods generate relatively similar results for clay mineral. Although all methods generate relatively similar results, the SAM method seems to be the best fit with geological evidences to generate reliable promising areas for clay mineral in this area. Based on this study, around 100 km2 of the total studied area was selected as suitable for more exploration and ground survey. Manuscript profile