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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...

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Autores principales: Rajendran, Sankaran, Nasir, Sobhi, Jabri, Khalifa Al
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
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.
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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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