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Band Ratios Matrix Transformation (BRMT): A Sedimentary Lithology Mapping Approach Using ASTER Satellite Sensor.
Ghasem Askari1, Amin Beiranvand Pour2, Biswajeet Pradhan3,4
1School of Earth Sciences, Damghan University, Damghan 3671641167, Iran. gh.askari@du.ac.ir.
Sensors (Basel, Switzerland)
|September 26, 2018
Summary
This study introduces the Band Ratio Matrix Transformation (BRMT) for geological mapping using ASTER satellite data. The BRMT approach effectively identifies sedimentary rock formations and mineral assemblages, improving mapping accuracy.
Area of Science:
- Geology
- Remote Sensing
- Mineralogy
Background:
- Remote sensing imagery is a cost-effective and precise tool for geological map preparation.
- Characterizing sedimentary rock formations requires advanced analytical techniques.
Purpose of the Study:
- To develop and validate the Band Ratio Matrix Transformation (BRMT) approach for lithological mapping.
- To extract detailed geological information from ASTER satellite data in the Deh-Molla region, Iran.
Main Methods:
- Utilized Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) satellite data.
- Applied Band Ratio Matrix Transformation (BRMT) involving visible-near infrared (VNIR) and shortwave infrared (SWIR) spectral bands.
- Incorporated Principal Component Analysis (PCA) for enhanced data transformation and mineral mapping.
Main Results:
- Successfully mapped quartz, carbonate, and altered minerals (kaolinite, alunite, chlorite, mica) using the BRMT approach.
- Achieved a kappa coefficient of 0.70% and an overall accuracy of 74.64%, validating the method's robustness.
- Demonstrated strong agreement between mapped results and existing geological maps, fieldwork, and laboratory analyses.
Conclusions:
- The BRMT approach is a robust and effective method for discriminating sedimentary rock boundaries and mapping mineral assemblages.
- ASTER data combined with BRMT offers significant potential for geological mapping of sedimentary successions globally.
- The developed approach enhances precision and reduces costs in geological exploration and mapping efforts.
Keywords:
ASTERBand Ratios Matrix Transformation (BRMT)Deh-Mollalithostratigraphy mappingsedimentary rocksMore Related Videos
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