Lithological Mapping from OLI and ASTER Multispectral Data Using Matched Filtering and Spectral Analogues Techniques in the Pasab-e-Bala Area, Central Iran

Abstract

Using satellite data for geological mapping beside saving time and reducing coast leads to increased accuracy. In this study, the result of remote sensing techniques has been compared for manifesting geological units. The study area is limited to 1:25,000 rectangle of Pasab-e-Bala which is located in the northeast of Isfahan and West of Qom-Zefreh fault. This region mainly consists of Devonian and Quaternary sedimentary units. In this study, ASTER and OLI satellite data has been corrected atmospherically and radiometrically. Spectral Analogues method and OLI band combination (652) in RGB image were powerful in distinguishing various rock units. Finally, a new geologic map of the Pasab-e-Bala area was created by integrating the results of remote sensing, previous geological maps and field inspection. It is concluded that the workflow of Landsat 8 image processing, interpretation and ground inspection have a great potential to identify geological formations. According to field data originality, accuracy of the produced map was evaluated through calculating kappa index and overall accuracy and a thematic accuracy of 86% was achieved for geological formations.

Geochemical and remote sensing integrated with satellite gravity data of Darhib and Atshan talc deposits, South Eastern Desert, Egypt

“…MNF similar to principal component analyses, in that it also requires reducing residual noise from the spectral data as a first step, which makes it easier to choose prototype spectra. MNF transform separates the spectral bands with significant information contributing to the overall variance in the dataset from the bands that are dominated by noise 34 . The MNF results of this study show that the color composite of MNF bands MNF3, MNF1, MNF2; MNF4, MNF1, and MNF3 in RGB represents talc deposits of Atshan area by pink and blue color, respectively (Fig.…”

Feature-Oriented Principal Component Selection (FPCS) for Delineation of the Geological Units Using the Integration of SWIR and TIR ASTER Data

“…The present study uses the Advanced Spaceborne Thermal Emission and Reflection Radiometer Level-1 Precision Terrain Corrected Registered At-Sensor Radiance (ASTER L1T) dataset. ASTER sensor carries the VNIR, SWIR, and TIR scanners which have 3 (1-3), 6 (4-9), and 5 (10)(11)(12)(13)(14) bands respectively, and its technical specifications mentioned in Table 2. The ASTER L1T imagery is already geometrically corrected, georeferenced (WGS-1984) and UTM projected (UTM zone 43 N) [92].…”

“…Multispectral Remote Sensing is utilized in the domain of geosciences for lithological mapping [9][10][11][12][13][14][15][16], mineral mapping [17][18][19][20][21][22][23][24], identification of the alteration zones related to the base metal mineralization [25][26][27][28][29][30][31][32][33][34][35][36][37][38][39][40][41][42], structural features as a controlling factor for mineralization [26,28,[42][43][44][45][46] and mapping for demarcating favorable zones of mineralization [21,47,48]. Spectral characteristic absorption features of the rocks and minerals are utilized for the identification and mapping of lithologies and minerals like calcite, dolomite, clay, mica, and ultramafics, etc.…”