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Classification of limestones using ASTER satellite data and image processing technique
2nd International Conference on Geology
Moza Hamdan Saif Alshidi and Noor Yousuf Hareth Salim Al Abri
Sultan Qaboos University, Oman
Posters & Accepted Abstracts: J Earth Sci Clim Change
DOI:
Abstract
Applications of remote sensing technique are integrated with the results of geophysical methods in several studies to map and evaluate the surface and subsurface mineral and ore deposits and bearing structures. In this present study, we classify the tertiary age limestone formations deposited in part of the Sur region of Sultanate of Oman using Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) satellite data and decorrelation stretching image processing method by understanding the spectral absorption characters of the minerals of the formations. The analysis of ASTER spectral bands 8, 5, 1 using the image processing method better discriminated and classified the limestone formations such as bioclastic limestone, massive bioclastic limestone with conglomerate, grey to white marly limestone and bioclastic marl and marl limestone. Further, the study of minerals of the formations using the satellite data confirms the classification of the limestone formations and field and laboratory studies existed on the literatures. Our study also compares the results of published scientific work and recommends for mapping the limestone formations of the similar regions. The limestone occurrences of the arid region are economic important and the results of study can be integrated with geophysical methods for better mapping and classifying the limestone formations in future concern.Biography
Moza Hamdan Saif Alshidi is a Graduate student of Geophysics in the Department of Earth Science, College of Science, Sultan Qaboos University, Muscat, Oman. He is interested in integrating the remote sensing data with geophysical study.
Email: U0102030@student.squ.edu.om
