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...

Full description

Saved in:
Bibliographic Details
Main Authors: Mat Amin, Abd Rahman, Ahmad, Fadhli, Abdullah, Khiruddin
Format: Article
Language:en
Published: De Gruyter Open 2017
Subjects:
Online Access:http://eprints.usm.my/36893/1/%28Discriminating_sediment_and_clear_water%29__%5BEkolgia_%28Bratislava%29%5D.pdf
http://eprints.usm.my/36893/
https://doi:10.1515/eko-2017-0002
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1834501084962357248
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 Hamzah Sendut Library
collection Institutional Repository
content_provider Universiti Sains Malaysia
content_source USM Institutional Repository
continent Asia
country Malaysia
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.
format Article
id my.usm.eprints.36893
institution Universiti Sains Malaysia
language en
publishDate 2017
publisher De Gruyter Open
record_format eprints
spelling my.usm.eprints.36893 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/36893/1/%28Discriminating_sediment_and_clear_water%29__%5BEkolgia_%28Bratislava%29%5D.pdf
http://eprints.usm.my/36893/
https://doi:10.1515/eko-2017-0002
url_provider http://eprints.usm.my/