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Mapping and accuracy assessment of siltation of recharge dams using remote sensing technique
This study demonstrates the use of ASTER data to map the siltation of the Al-Khod Dam constructed at the lower reaches of Samail Catchment area, north Muscat, Sultanate of Oman. In this study, the decorrelated image of spectral bands 6, 3, and 1 clearly discriminated the distribution of siltation. T...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7316797/ https://www.ncbi.nlm.nih.gov/pubmed/32587395 http://dx.doi.org/10.1038/s41598-020-67137-9 |
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author | Rajendran, Sankaran Nasir, Sobhi Jabri, Khalifa Al |
author_facet | Rajendran, Sankaran Nasir, Sobhi Jabri, Khalifa Al |
author_sort | Rajendran, Sankaran |
collection | PubMed |
description | This study demonstrates the use of ASTER data to map the siltation of the Al-Khod Dam constructed at the lower reaches of Samail Catchment area, north Muscat, Sultanate of Oman. In this study, the decorrelated image of spectral bands 6, 3, and 1 clearly discriminated the distribution of siltation. The occurrence of siltation is confirmed by the detection of minerals using the VNIR-SWIR bands by the Spectral Angle Mapper (SAM) method. In addition, the siltation of the dam is studied for the years 1987 to 2018 using Landsat satellite images. Interpretation of images showed a gradual increase of the siltation. Mapping accuracy for the occurrence of siltation is assessed by a confusion matrix which produced an overall accuracy of 97.88% and Kappa coefficient of 0.98 in the Maximum Likelihood method. Results of image analyses are verified in the field and confirmed through laboratory analyses. The study of spectral absorption characters of field samples using a Portable Infrared Mineral Analyzer (PIMA) showed the presence of OH molecule bearing minerals (clays, serpentines, etc.) and carbonate minerals (calcite and dolomite) in the silt deposits. The occurrence of these minerals is confirmed further by X-ray diffraction (XRD) and Scanning Electron Microscope (SEM) analyses. |
format | Online Article Text |
id | pubmed-7316797 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-73167972020-06-26 Mapping and accuracy assessment of siltation of recharge dams using remote sensing technique Rajendran, Sankaran Nasir, Sobhi Jabri, Khalifa Al Sci Rep Article This study demonstrates the use of ASTER data to map the siltation of the Al-Khod Dam constructed at the lower reaches of Samail Catchment area, north Muscat, Sultanate of Oman. In this study, the decorrelated image of spectral bands 6, 3, and 1 clearly discriminated the distribution of siltation. The occurrence of siltation is confirmed by the detection of minerals using the VNIR-SWIR bands by the Spectral Angle Mapper (SAM) method. In addition, the siltation of the dam is studied for the years 1987 to 2018 using Landsat satellite images. Interpretation of images showed a gradual increase of the siltation. Mapping accuracy for the occurrence of siltation is assessed by a confusion matrix which produced an overall accuracy of 97.88% and Kappa coefficient of 0.98 in the Maximum Likelihood method. Results of image analyses are verified in the field and confirmed through laboratory analyses. The study of spectral absorption characters of field samples using a Portable Infrared Mineral Analyzer (PIMA) showed the presence of OH molecule bearing minerals (clays, serpentines, etc.) and carbonate minerals (calcite and dolomite) in the silt deposits. The occurrence of these minerals is confirmed further by X-ray diffraction (XRD) and Scanning Electron Microscope (SEM) analyses. Nature Publishing Group UK 2020-06-25 /pmc/articles/PMC7316797/ /pubmed/32587395 http://dx.doi.org/10.1038/s41598-020-67137-9 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Rajendran, Sankaran Nasir, Sobhi Jabri, Khalifa Al Mapping and accuracy assessment of siltation of recharge dams using remote sensing technique |
title | Mapping and accuracy assessment of siltation of recharge dams using remote sensing technique |
title_full | Mapping and accuracy assessment of siltation of recharge dams using remote sensing technique |
title_fullStr | Mapping and accuracy assessment of siltation of recharge dams using remote sensing technique |
title_full_unstemmed | Mapping and accuracy assessment of siltation of recharge dams using remote sensing technique |
title_short | Mapping and accuracy assessment of siltation of recharge dams using remote sensing technique |
title_sort | mapping and accuracy assessment of siltation of recharge dams using remote sensing technique |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7316797/ https://www.ncbi.nlm.nih.gov/pubmed/32587395 http://dx.doi.org/10.1038/s41598-020-67137-9 |
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