Sediment transport and depth variation study of the Gulf of Kutch using remote sensing
DRS at CSIR-National Institute of Oceanography
View Archive InfoField | Value | |
Title |
Sediment transport and depth variation study of the Gulf of Kutch using remote sensing
|
|
Creator |
Kunte, P.D.
Wagle, B.G. Sugimori, Y. |
|
Subject |
sediment transport
seasonal variations remote sensing resuspended sediments depth measurement |
|
Description |
Ocean Colour Monitor (OCM) data gathered onboard Indian Remote Sensing satellite (IRS P4), in eight VNIR bonds covering Gulf of Kutch and adjoining regions were digitally processed using an image processing system. False colour composite images of actual data and principal components were generated to study sediment transport, depth variation and associated processes by mapping coastal and underwater geomorphic features and suspended sediment plumes. Submerged shoals, located as deep as 20 m below water level, were correctly marked. By studying turbidity distribution patterns and sediment transport indicators, sediment distribution and dispersion have been inferred. The study demonstrates that OCM data have been derived from up to 20 m water depth in the high-energy tide dominated Gulf and hence are useful for mapping underwater bedforms, sediment plumes, and other geomorphic features. The study indicates that the sediments are transported to the Gulf from the north as well as from the south and are mainly season dependent. It is concluded that the OCM data can be used for depth variation and sediment distribution studies
|
|
Date |
2008-07-18T05:45:17Z
2008-07-18T05:45:17Z 2003 |
|
Type |
Journal Article
|
|
Identifier |
International Journal of Remote Sensing, Vol.24; 2253-2263p.
http://drs.nio.org/drs/handle/2264/1252 |
|
Language |
en
|
|
Rights |
Copyright [2003]. It is tried to respect the rights of the copyright holders to the best of the knowledge. If it is brought to our notice that the rights are violated then the item would be withdrawn.
|
|
Publisher |
Taylor and Francis
|
|