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Proceedings Paper

Spatial distribution characteristics of surface sediment grain-size parameters in intertidal flat using hyperspectral remote sensing data
Author(s): Xiaodan Zheng; Ying Zhang; Dong Zhang; Huan Li
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Paper Abstract

Among totally 242 spectral bands ranging from 400 to 2500 nm of Hyperion hyperspectral remote sensing data, it was found that two bands with reflectance of 1215 and 2133 nm had relatively good correlation with sediment grain-size parameters of mean diameter(Mz), skewness(Sk), medium diameter(Md) and sorting coefficient(So). And further more, the combination of band reflectance had a significant linear correlation with Mz, So, Sk and Md. Then linear regression models were established and applied to get spatial distribution characteristics of grain-size parameters at intertidal flat near the Sheyang River Estuary in Jiangsu Province. Verification by independent samples showed that the mean relative precision and the mean absolute precision exceeded 75.70% and 72.17%, respectively. Spatial distribution pattern of grain-size parameters indicated that in the direction from north to south that parallel to the coastal line, grain diameters became finer, sorting characteristics became worse and skewness moved from near symmetry to positive deviation. While at the direction from the land phase to the sea that perpendicular to coastal line, grain diameters changed coarser, sorting characteristics became better and skewness moved from positive to near symmetry. These variation trends were in accordance with hydrodynamic environments and sediments sources well.

Paper Details

Date Published: 3 November 2010
PDF: 9 pages
Proc. SPIE 7841, Sixth International Symposium on Digital Earth: Data Processing and Applications, 78410E (3 November 2010); doi: 10.1117/12.873207
Show Author Affiliations
Xiaodan Zheng, Nanjing Normal Univ. (China)
Ying Zhang, Nanjing Normal Univ. (China)
Dong Zhang, Nanjing Normal Univ. (China)
Huan Li, Nanjing Normal Univ. (China)

Published in SPIE Proceedings Vol. 7841:
Sixth International Symposium on Digital Earth: Data Processing and Applications
Huadong Guo; Changlin Wang, Editor(s)

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