Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.3390/ijgi10060368 |
Paradigm of Geological Mapping of the Adiyaman Fault Zone of Eastern Turkey Using Landsat 8 Remotely Sensed Data Coupled with PCA, ICA, and MNFA Techniques | |
Khalifa, Abdelrahman; Bashir, Bashar; Cakir, Ziyadin; Kaya, Sinasi; Alsalman, Abdullah; Henaish, Ahmed | |
通讯作者 | Khalifa, A (corresponding author), Istanbul Tech Univ, Fac Mines, Dept Geol Engn, TR-34467 Istanbul, Turkey. ; Khalifa, A (corresponding author), Al Azhar Univ, Fac Sci, Dept Geol, Cairo 11651, Egypt. |
来源期刊 | ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
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EISSN | 2220-9964 |
出版年 | 2021 |
卷号 | 10期号:6 |
英文摘要 | A principal and independent component analysis (PCA and ICA) and a minimum noise fraction analysis (MNFA) were applied in this study to Landsat 8 Operational Land Imager (OLI) images along the Adiyaman fault zone in Eastern Turkey. These analyses indicated that the lithologic units, fault patterns, and the morphological and structural features can be mapped highly accurately by using spectral-matching techniques in regions where rocks are well exposed. An inspection of all possible band combinations indicated that the PCA 134 and 231 and the ICA 132 band combinations give the best false color composite images for identifying the lithological units and contacts. The findings of the MNFA band combinations show that the MNFA 521 band combination also is robust for discriminating the lithological units, particularly Quaternary clastic units (colluvium/alluvium). MNFA band 1 alone provides the best image for tracing the tectonic and structural elements in the study area. The new up-to-date lithologic map of the Adiyaman fault zone we produced upon the interpretation of the processed OLI images reveals several river channels that are offset and beheaded by the Adiyaman fault, which verifies its Quaternary activity. This study demonstrated that, when used with the OLI data, the PCA, ICA, and MNFA are very powerful for lithological and structural mapping in actively deforming tectonic zones and hence can be applied to other regions elsewhere in the world where the climate is arid to semiarid, and the vegetation cover is scarce. |
英文关键词 | principal and independent component analysis minimum noise fraction analysis lithologic and tectonic mapping Adiyaman fault zone Eastern Turkey |
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:000666674900001 |
WOS关键词 | CENTRAL REGION ; ASTER ; AREA ; LINEAMENTS ; OLI ; IMAGERY |
WOS类目 | Computer Science, Information Systems ; Geography, Physical ; Remote Sensing |
WOS研究方向 | Computer Science ; Physical Geography ; Remote Sensing |
来源机构 | King Saud University |
资源类型 | 期刊论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/368725 |
作者单位 | [Khalifa, Abdelrahman; Cakir, Ziyadin] Istanbul Tech Univ, Fac Mines, Dept Geol Engn, TR-34467 Istanbul, Turkey; [Khalifa, Abdelrahman] Al Azhar Univ, Fac Sci, Dept Geol, Cairo 11651, Egypt; [Bashir, Bashar; Alsalman, Abdullah] King Saud Univ, Coll Engn, Dept Civil Engn, Riyadh 11421, Saudi Arabia; [Kaya, Sinasi] Istanbul Tech Univ, Fac Engn, Dept Geomat, TR-34467 Istanbul, Turkey; [Henaish, Ahmed] Zagazig Univ, Fac Sci, Dept Geol, Cairo 44519, Egypt |
推荐引用方式 GB/T 7714 | Khalifa, Abdelrahman,Bashir, Bashar,Cakir, Ziyadin,et al. Paradigm of Geological Mapping of the Adiyaman Fault Zone of Eastern Turkey Using Landsat 8 Remotely Sensed Data Coupled with PCA, ICA, and MNFA Techniques[J]. King Saud University,2021,10(6). |
APA | Khalifa, Abdelrahman,Bashir, Bashar,Cakir, Ziyadin,Kaya, Sinasi,Alsalman, Abdullah,&Henaish, Ahmed.(2021).Paradigm of Geological Mapping of the Adiyaman Fault Zone of Eastern Turkey Using Landsat 8 Remotely Sensed Data Coupled with PCA, ICA, and MNFA Techniques.ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION,10(6). |
MLA | Khalifa, Abdelrahman,et al."Paradigm of Geological Mapping of the Adiyaman Fault Zone of Eastern Turkey Using Landsat 8 Remotely Sensed Data Coupled with PCA, ICA, and MNFA Techniques".ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION 10.6(2021). |
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