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| Title: | Spectral analysis of ASTER data covering part of Neoproterozoic Allaqi-Heiani suture, southern Egypt |
| Author (s): | Qiu, F. Abdel Salam, Mohamed G. Thakkar, P. |
| Department/Lab Affiliations: | Geological Sciences & Engineering |
| Keywords: | ASTER data Allaqi-Heiani suture Spectral analysis |
| Subject Terms: | Geological mapping. |
| Issue Date: | 2006 |
| Publisher: | Elsevier |
| Citation: | Qiu, F., Abdelsalam, M.G., and Thakkar, P., 2006. "Spectral Analysis of ASTER Data covering part of Neoproterozoic Allaqi-Heiani Suture, southern Egypt." Journal of African Earth Sciences – Remote Sensing for Africa. 44, 169-180. |
| Abstract: | This paper examines the potential of ASTER data in mapping the geology of an arid area in Africa using spectral analysis techniques. Equipped with a relatively broad spectral range, fine spatial resolution, and a large number of bands, ASTER data are especially attractive to many geological researchers in Africa, due to their open availability and associated minimal costs for academic use. The spectral analysis of an ASTER dataset covering part of the Neoproterozoic Allaqi-Heiani suture, Southern Egypt has demonstrated it to be more effective in detecting lithological units than traditional multispectral analysis procedures, such as the maximum likelihood classifier. The effectiveness of these spectral analysis techniques used in this study lies in their ability to compare a pixel spectrum with the spectra of known pure materials, extracted from the spectral endmember selection procedures, including minimum noise factor (MNF), pixel purity index (PPI) and n-dimensional visualization. Among the three spectral analysis algorithms employed, spectral angle mapping (SAM) and spectral feature fitting (SFF), produced accurate classifications that were close to the ground reference data. Linear spectral unmixing (LSU), although failing to achieve a satisfactory overall classification accuracy, demonstrated potential in depicting intercalation of layered rocks. It is concluded that these spectral analysis techniques have proven to be useful tools in geological mapping of the arid regions in Africa, with their abilities to capitalize on the enhanced spectral information of ASTER data. |
| Type: | Article - Journal text |
| In Title: | Journal of African Earth Sciences |
| Copyright Notice: | This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder. FULL COPYRIGHT INFORMATION: |
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| title | Spectral analysis of ASTER data covering part of Neoproterozoic Allaqi-Heiani suture, southern Egypt |
| contributor.author | Qiu, F. |
| contributor.author | Abdel Salam, Mohamed G. |
| contributor.author | Thakkar, P. |
| contributor.deptlab | Geological Sciences & Engineering |
| subject | ASTER data |
| subject | Allaqi-Heiani suture |
| subject | Spectral analysis |
| subject.LCSH | Geological mapping. |
| date.issued | 2006 |
| publisher | Elsevier |
| identifier.citation | Qiu, F., Abdelsalam, M.G., and Thakkar, P., 2006. "Spectral Analysis of ASTER Data covering part of Neoproterozoic Allaqi-Heiani Suture, southern Egypt." Journal of African Earth Sciences – Remote Sensing for Africa. 44, 169-180. |
| identifier.pub.URI | |
| description.abstract | This paper examines the potential of ASTER data in mapping the geology of an arid area in Africa using spectral analysis techniques. Equipped with a relatively broad spectral range, fine spatial resolution, and a large number of bands, ASTER data are especially attractive to many geological researchers in Africa, due to their open availability and associated minimal costs for academic use. The spectral analysis of an ASTER dataset covering part of the Neoproterozoic Allaqi-Heiani suture, Southern Egypt has demonstrated it to be more effective in detecting lithological units than traditional multispectral analysis procedures, such as the maximum likelihood classifier. The effectiveness of these spectral analysis techniques used in this study lies in their ability to compare a pixel spectrum with the spectra of known pure materials, extracted from the spectral endmember selection procedures, including minimum noise factor (MNF), pixel purity index (PPI) and n-dimensional visualization. Among the three spectral analysis algorithms employed, spectral angle mapping (SAM) and spectral feature fitting (SFF), produced accurate classifications that were close to the ground reference data. Linear spectral unmixing (LSU), although failing to achieve a satisfactory overall classification accuracy, demonstrated potential in depicting intercalation of layered rocks. It is concluded that these spectral analysis techniques have proven to be useful tools in geological mapping of the arid regions in Africa, with their abilities to capitalize on the enhanced spectral information of ASTER data. |
| type | Article - Journal |
| type.DCMIType | text |
| type.status | Postprint |
| rights | This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder. |
| rights.URI | |
| relation.isPartOf | Journal of African Earth Sciences |
| date.accessioned | 2007-04-11T17:00:48Z |
| date.available | 2008-05-01T21:00:35Z |
| identifier.persist.URI |