Open Journal of Geology

Volume 7, Issue 10 (October 2017)

ISSN Print: 2161-7570   ISSN Online: 2161-7589

Google-based Impact Factor: 0.83  Citations  h5-index & Ranking

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

HTML  XML Download Download as PDF (Size: 5651KB)  PP. 1494-1508  
DOI: 10.4236/ojg.2017.710100    1,228 Downloads   3,395 Views  Citations

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.

Share and Cite:

Vincheh, Z. and Arfania, R. (2017) Lithological Mapping from OLI and ASTER Multispectral Data Using Matched Filtering and Spectral Analogues Techniques in the Pasab-e-Bala Area, Central Iran. Open Journal of Geology, 7, 1494-1508. doi: 10.4236/ojg.2017.710100.

Cited by

[1] Investigation of Alteration Deposit Zones of Porphyry Copper Ore Using Multispectral Satellite Imagery (Aster, Landsat-8 and Sentinel-2) and Ground Controls (Case …
Iranian Journal of Remote Sensing & GIS, 2022
[2] Multitemporal hyperspectral tree species classification in the Białowieża Forest World Heritage site
2021
[3] Unlocking the potential of hyperspectral and LiDAR for above-ground biomass (AGB) and tree species classification in tropical forests
Geocarto …, 2021
[4] Feature-oriented principal component selection (FPCS) for delineation of the geological units using the integration of SWIR and TIR ASTER data
Remote Sensing, 2021
[5] Lithological Mapping Using Landsat 8 OLI in the Meso-Cenozoic Tarfaya Laayoune Basin (South of Morocco): Comparison between ANN and SID …
Open Journal of Geology, 2021
[6] Tree species identification within an extensive forest area with diverse management regimes using airborne hyperspectral data
2020
[7] Airborne hyperspectral data for mineral mapping in Southeastern Rajasthan, India
International Journal of Applied Earth Observation and Geoinformation, 2019

Copyright © 2024 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.