DISCRIMINATING SEDIMENT AND CLEAR WATER OVER CAOSTAL WATER USING GD TECHNIQUE
Currently two algorithms are being used routinely by the MODIS Atmosphere and Ocean Team in order to distinguish sediment influence and clear water pixels over turbid water area. These two algorithms require complicated computational analyses. In this paper, a simple algorithm based on empirical tec...
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| Format: | Article |
| Language: | English |
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De Gruyter Open
2017
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| Online Access: | http://eprints.usm.my/36893/ http://eprints.usm.my/36893/1/%28Discriminating_sediment_and_clear_water%29__%5BEkolgia_%28Bratislava%29%5D.pdf |
| _version_ | 1848878038791487488 |
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| author | Mat Amin, Abd Rahman Ahmad, Fadhli Abdullah, Khiruddin |
| author_facet | Mat Amin, Abd Rahman Ahmad, Fadhli Abdullah, Khiruddin |
| author_sort | Mat Amin, Abd Rahman |
| building | USM Institutional Repository |
| collection | Online Access |
| description | Currently two algorithms are being used routinely by the MODIS Atmosphere and Ocean Team in order to distinguish sediment influence and clear water pixels over turbid water area. These two algorithms require complicated computational analyses. In this paper, a simple algorithm based on empirical technique to detect the sediment-influenced pixels over coastal waters is proposed as an alternative to these two algorithms. This study used apparent reflectance acquired from MODIS L1B product. This algorithm is based on the gradient difference of the line connecting the 0.47- and 1.24-qm channels and 0.47- and 0.66-qm channels of a log-log graph of the apparent reflectance values against MODIS wavelengths. Over clear-water areas (deep blue sea), the 0.47-, 0.66- and 1.24-qm channels fitted very well in line with correlation R > 0.99. Over turbid waters, a substantial increase of 0.66 qm in the reflectance leads to a low correlation value. By computing the difference between the gradient of the line connecting 0.47 and 0.66 qm and the gradient of the line connecting 0.47 and 1.24 qm, the threshold to discriminate turbid and shallow coastal waters from clear-water pixels can be obtained. If the gradient difference is greater than 0, the pixels were then marked as sediment-influenced pixels. This proposed algorithm works well for MODIS Terra and Aqua sensor. The comparison of this algorithm with an established algorithm also showed a good agreement. |
| first_indexed | 2025-11-15T17:24:59Z |
| format | Article |
| id | usm-36893 |
| institution | Universiti Sains Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T17:24:59Z |
| publishDate | 2017 |
| publisher | De Gruyter Open |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | usm-368932017-10-03T06:29:57Z http://eprints.usm.my/36893/ DISCRIMINATING SEDIMENT AND CLEAR WATER OVER CAOSTAL WATER USING GD TECHNIQUE Mat Amin, Abd Rahman Ahmad, Fadhli Abdullah, Khiruddin QC1-999 Physics Currently two algorithms are being used routinely by the MODIS Atmosphere and Ocean Team in order to distinguish sediment influence and clear water pixels over turbid water area. These two algorithms require complicated computational analyses. In this paper, a simple algorithm based on empirical technique to detect the sediment-influenced pixels over coastal waters is proposed as an alternative to these two algorithms. This study used apparent reflectance acquired from MODIS L1B product. This algorithm is based on the gradient difference of the line connecting the 0.47- and 1.24-qm channels and 0.47- and 0.66-qm channels of a log-log graph of the apparent reflectance values against MODIS wavelengths. Over clear-water areas (deep blue sea), the 0.47-, 0.66- and 1.24-qm channels fitted very well in line with correlation R > 0.99. Over turbid waters, a substantial increase of 0.66 qm in the reflectance leads to a low correlation value. By computing the difference between the gradient of the line connecting 0.47 and 0.66 qm and the gradient of the line connecting 0.47 and 1.24 qm, the threshold to discriminate turbid and shallow coastal waters from clear-water pixels can be obtained. If the gradient difference is greater than 0, the pixels were then marked as sediment-influenced pixels. This proposed algorithm works well for MODIS Terra and Aqua sensor. The comparison of this algorithm with an established algorithm also showed a good agreement. De Gruyter Open 2017 Article PeerReviewed application/pdf en http://eprints.usm.my/36893/1/%28Discriminating_sediment_and_clear_water%29__%5BEkolgia_%28Bratislava%29%5D.pdf Mat Amin, Abd Rahman and Ahmad, Fadhli and Abdullah, Khiruddin (2017) DISCRIMINATING SEDIMENT AND CLEAR WATER OVER CAOSTAL WATER USING GD TECHNIQUE. Ekológia (Bratislava), 36 (1). pp. 10-24. ISSN 1337-947X https://doi:10.1515/eko-2017-0002 |
| spellingShingle | QC1-999 Physics Mat Amin, Abd Rahman Ahmad, Fadhli Abdullah, Khiruddin DISCRIMINATING SEDIMENT AND CLEAR WATER OVER CAOSTAL WATER USING GD TECHNIQUE |
| title | DISCRIMINATING SEDIMENT AND CLEAR WATER OVER CAOSTAL WATER USING GD TECHNIQUE |
| title_full | DISCRIMINATING SEDIMENT AND CLEAR WATER OVER CAOSTAL WATER USING GD TECHNIQUE |
| title_fullStr | DISCRIMINATING SEDIMENT AND CLEAR WATER OVER CAOSTAL WATER USING GD TECHNIQUE |
| title_full_unstemmed | DISCRIMINATING SEDIMENT AND CLEAR WATER OVER CAOSTAL WATER USING GD TECHNIQUE |
| title_short | DISCRIMINATING SEDIMENT AND CLEAR WATER OVER CAOSTAL WATER USING GD TECHNIQUE |
| title_sort | discriminating sediment and clear water over caostal water using gd technique |
| topic | QC1-999 Physics |
| url | http://eprints.usm.my/36893/ http://eprints.usm.my/36893/ http://eprints.usm.my/36893/1/%28Discriminating_sediment_and_clear_water%29__%5BEkolgia_%28Bratislava%29%5D.pdf |