Estimation of water turbidity in Gorgan Bay, South-east of Caspian Sea by using IRS-LISS-III images

In this research, usefulness of IRS-LISS-III data of Gorgan Bay, South-east of Caspian Sea located in North of Iran for water turbidity mapping, has been tested. After correction of geometric and radiometric errors, the resulting radiance data were used for examination of correlations between the re...

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Published in:Pakistan journal of biological sciences Vol. 11; no. 5; pp. 711 - 718
Main Authors: Aghighi, Hossein, Alimohammadi, Abbas, Saradjian, Mohammad Reza, Ashourloo, Davood
Format: Journal Article
Language:English
Published: Pakistan 01-03-2008
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Abstract In this research, usefulness of IRS-LISS-III data of Gorgan Bay, South-east of Caspian Sea located in North of Iran for water turbidity mapping, has been tested. After correction of geometric and radiometric errors, the resulting radiance data were used for examination of correlations between the remotely sensed and in situ water turbidity data simultaneously measured by the Secchi depth approach. Results of this research showed good relations between the Secchi depth and spectral data. The fitted statistical model was very significant (R2 = 0.77) and test of the model performance by independent samples was encouraging. Because of the low costs encountered with acquisition and processing of remotely sensed data, further research in larger scales for the purpose of more precise test of the approach for water turbidity mapping and monitoring is recommended.
AbstractList In this research, usefulness of IRS-LISS-III data of Gorgan Bay, South-east of Caspian Sea located in North of Iran for water turbidity mapping, has been tested. After correction of geometric and radiometric errors, the resulting radiance data were used for examination of correlations between the remotely sensed and in situ water turbidity data simultaneously measured by the Secchi depth approach. Results of this research showed good relations between the Secchi depth and spectral data. The fitted statistical model was very significant (R super(2) = 0.77) and test of the model performance by independent samples was encouraging. Because of the low costs encountered with acquisition and processing of remotely sensed data, further research in larger scales for the purpose of more precise test of the approach for water turbidity mapping and monitoring is recommended.
In this research, usefulness of IRS-LISS-III data of Gorgan Bay, South-east of Caspian Sea located in North of Iran for water turbidity mapping, has been tested. After correction of geometric and radiometric errors, the resulting radiance data were used for examination of correlations between the remotely sensed and in situ water turbidity data simultaneously measured by the Secchi depth approach. Results of this research showed good relations between the Secchi depth and spectral data. The fitted statistical model was very significant (R2 = 0.77) and test of the model performance by independent samples was encouraging. Because of the low costs encountered with acquisition and processing of remotely sensed data, further research in larger scales for the purpose of more precise test of the approach for water turbidity mapping and monitoring is recommended.
Author Ashourloo, Davood
Aghighi, Hossein
Saradjian, Mohammad Reza
Alimohammadi, Abbas
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SubjectTerms Brackish
Environment
Environmental Monitoring - methods
Freshwater
Iran
Models, Statistical
Nephelometry and Turbidimetry
Regression Analysis
Reproducibility of Results
Water - chemistry
Water Pollutants
Title Estimation of water turbidity in Gorgan Bay, South-east of Caspian Sea by using IRS-LISS-III images
URI https://www.ncbi.nlm.nih.gov/pubmed/18819566
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