Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.1515/geo-2019-0070 |
Integrating Landsat 7 and 8 data to improve basalt formation classification: A case study at Buon Ma Thuot region, Central Highland, Vietnam | |
Ngo Van Liem; Dang Van Bao; Dang Kinh Bac; Nguyen Hieu; Do Trung Hieu; Tran Van Phong; Tran Thi Viet Ha; Pham Thi Phuong Nga; Phan Trong Trinh | |
通讯作者 | Liem, NV (corresponding author), VNU Univ Sci, Hanoi 100000, Vietnam. |
来源期刊 | OPEN GEOSCIENCES
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ISSN | 2391-5447 |
出版年 | 2019 |
卷号 | 11期号:1页码:901-917 |
英文摘要 | 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. |
英文关键词 | Remote sensing geographical information system volcanic terrain geology geomorphology ratio band Maximum Likelihood |
类型 | Article |
语种 | 英语 |
开放获取类型 | gold |
收录类别 | SCI-E |
WOS记录号 | WOS:000501995600006 |
WOS关键词 | SOUTH EASTERN DESERT ; LANDSLIDE SUSCEPTIBILITY ; AREA ; GEOLOGY ; IDENTIFICATION ; CAMEROON |
WOS类目 | Geosciences, Multidisciplinary |
WOS研究方向 | Geology |
资源类型 | 期刊论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/369627 |
作者单位 | [Ngo Van Liem] VNU Univ Sci, Hanoi 100000, Vietnam; [Dang Van Bao; Dang Kinh Bac; Nguyen Hieu; Do Trung Hieu; Pham Thi Phuong Nga] Vietnam Natl Univ, VNU Univ Sci, Hanoi, Vietnam; [Tran Van Phong; Phan Trong Trinh] Vietnam Acad Sci & Technol, Inst Geol Sci, 84 Chua Lang, Hanoi, Vietnam; [Tran Thi Viet Ha] Vietnam Natl Univ, VNU Vietnam Japan Univ, Hanoi, Vietnam |
推荐引用方式 GB/T 7714 | Ngo Van Liem,Dang Van Bao,Dang Kinh Bac,et al. Integrating Landsat 7 and 8 data to improve basalt formation classification: A case study at Buon Ma Thuot region, Central Highland, Vietnam[J],2019,11(1):901-917. |
APA | Ngo Van Liem.,Dang Van Bao.,Dang Kinh Bac.,Nguyen Hieu.,Do Trung Hieu.,...&Phan Trong Trinh.(2019).Integrating Landsat 7 and 8 data to improve basalt formation classification: A case study at Buon Ma Thuot region, Central Highland, Vietnam.OPEN GEOSCIENCES,11(1),901-917. |
MLA | Ngo Van Liem,et al."Integrating Landsat 7 and 8 data to improve basalt formation classification: A case study at Buon Ma Thuot region, Central Highland, Vietnam".OPEN GEOSCIENCES 11.1(2019):901-917. |
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