Integrating Landsat 7 and 8 data to improve basalt formation classification: A case study at Buon Ma Thuot region, Central Highland, Vietnam

• Main Authors: Liem Ngo Van, Bao Dang Van, Bac Dang Kinh, Hieu Nguyen, Hieu Do Trung, Phong Tran Van, Viet Ha Tran Thi, Phuong Nga Pham Thi, Trinh Phan Trong
• Format: Article
• Language: English
• Published: De Gruyter 2019-12-01
• Series: Open Geosciences
• Subjects: remote sensing; geographical information system; volcanic terrain; geology; geomorphology; ratio band; maximum likelihood
• Online Access: https://doi.org/10.1515/geo-2019-0070

Cenozoic basalt regions contain various natural resources that can be used for socio-economic development. Different quantitative and qualitative methods have been applied to understand the geological and geomorphological characteristics of basalt formations. Nowadays the integration of remote sensing and geographic information systems (GIS) has become a powerful method to distinguish geological formations. In this paper, authors combined satellite and fieldwork data to analyze the structure and morphology of highland geological formations in order to distinguish two main volcanic eruption episodes. Based on remote sensing analysis in this study, different spectral band ratios were generated to select the best one for basalt classification. Lastly, two spectral combinations (including band ratios 4/3, 6/2, 7/4 in Landsat 8 and 3/2, 5/1, 7/3 in Landsat 7) were chosen for the Maximum Likelihood classification. The final geological map based on the integration of Landsat 7 and 8 outcomes shows precisely the boundary of the basalt formations with the accuracy up to 93.7%. This outcome contributed significantly to the correction of geological maps. In further studies, authors suggest the integration of Landsat 7 and 8 data in geological studies and natural resource and environmental management at both local and regional scales.