Volume 13, Issue 2 (2009)
MJSP 2009, 13(2): 55-72 |
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Aghighi H, Alimohammadi A, Saradjian M R, Ashourloo D. Estimation of Water Turbidity in Gorgan Bay by Using IRS-ILSS-III Images. MJSP 2009; 13 (2) :55-72
URL: http://hsmsp.modares.ac.ir/article-21-3925-en.html
URL: http://hsmsp.modares.ac.ir/article-21-3925-en.html
1- Remote Sensing and GIS Expert, Iranian Space Agency (ISA), Tehran, Iran
2- Assistant Professor, Dept. of GIS, Faculty of Geomatics, K.N. Toosi University of Technology, Tehran, Iran
3- Associate Professor, Remote Sensing Division, Surveying and Geomatics Engineering
4- Lectural, Dept. of Remote Sensing and GIS, Faculty of Earth Sciences, Shahid Beheshti University, Tehran, Iran
2- Assistant Professor, Dept. of GIS, Faculty of Geomatics, K.N. Toosi University of Technology, Tehran, Iran
3- Associate Professor, Remote Sensing Division, Surveying and Geomatics Engineering
4- Lectural, Dept. of Remote Sensing and GIS, Faculty of Earth Sciences, Shahid Beheshti University, Tehran, Iran
Abstract: (10181 Views)
Quality of coastal water is of great importance in environment and other applications. Therefore, studying the quality of this water is quite vital. Traditional methods of water quality studies are time consuming processes that lead to pixel-based information and also impose a great deal of costs. Using stelllite images and remote sensing can play an important role in enhancing the outcome of these studies.
In this research, by field sampling of secchi depth, simultaneous to the satellite pass; an experimental statistic-mathematical model was fitted for the acquired data in the field and the processed images of the IRS-LISS-III sensor. The results indicated good relations between the Secchi depth and the radiance received by the sensor. The fitted model can be used to map Secchi depth in coastal areas.
Received: 2007/08/25 | Accepted: 2008/08/30 | Published: 2010/05/2
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