Mapping sediment types of muddy intertidal zone by means of TM remote sensing image
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Title |
Mapping sediment types of muddy intertidal zone by means of TM remote sensing image
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Creator |
Li, Huan
Zhang, Changkuan Gong, Zheng |
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Subject |
Sediment types
Intertidal flat Remote sensing Sedimentology |
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Description |
1849-1856
Based on in situ samples collected in an intertidal zone of Jiangsu province in China, this approach aims to map spatial distribution of sediment type via Landsat TM remote sensing data. Results demonstrated that TM4 possessed a linear relationship with the percentage of sediment components (sand, silt and clay). Further, we established models to predict the percentage of each sediment component and map distributions in TM image. Based on retrieved percentage and integrated with a well-known Shepard classification method, sediment types were determinated. It is showed that the remote sensing retrieval method could be well utilized for dynamic monitoring and analyzing of the depositional environment changes in muddy intertidal flat region. |
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Date |
2016-06-28T09:36:26Z
2016-06-28T09:36:26Z 2014-10 |
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Type |
Article
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Identifier |
0975-1033 (Online); 0379-5136 (Print)
http://hdl.handle.net/123456789/34537 |
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Language |
en_US
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Rights |
CC Attribution-Noncommercial-No Derivative Works 2.5 India
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Publisher |
NISCAIR-CSIR, India
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Source |
IJMS Vol.43(10) [October 2014]
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