High resolution surface sediment type mapping using hyperspectral image and field data in muddy intertidal flat area

Dong Zhang; Ying Zhang; Huan Li; Yong Xu

doi:10.1117/12.813249

7 November 2008 High resolution surface sediment type mapping using hyperspectral image and field data in muddy intertidal flat area

Dong Zhang, Ying Zhang, Huan Li, Yong Xu

Author Affiliations +

Proceedings Volume 7147, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Classification of Remote Sensing Images; 71471C (2008) https://doi.org/10.1117/12.813249
Event: Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Geo-Simulation and Virtual GIS Environments, 2008, Guangzhou, China

Abstract

Mapping surface sediment types is particularly challenging in muddy intertidal flat area due to muddy characteristics and tidal fluctuation. With the combination of Hyperion hyperspectral image and field survey data, two regression based image interpretation methods, namely characteristic band method (CBM) and band differential method (BDM), were used for sediment type classification and mapping. It was found that under low tidal level there was a strong correlation between surface sediment reflectance and its sand, silt and clay contents in shortwave infrared band. For 2102nm wavelength, the correlation coefficient by former method reached -0.8954, 0.9070 and 0.6547 respectively while the latter method had a relatively lower correlation capability. So choosing this band as the characteristic band, three linear regression models were constructed and the sand, silt and clay contents were quantitatively inversed from their corresponding reflectance values. A linear equilibrium corrective method was then applied to some "bad" pixels for inversed contents amendment due to regression model's linear transforming limitation. Based on these corrected component contents, Shepard triangular classification method was adopted and the sediment types for the whole intertidal flat were automatically obtained with a high interpretation precision of 87.9%. Results showed that the hyperspectral remote sensing reversion method could be well utilized for dynamic monitoring and analyzing of the depositional environment changes in muddy intertidal flat region.

Citation Download Citation

Dong Zhang, Ying Zhang, Huan Li, and Yong Xu "High resolution surface sediment type mapping using hyperspectral image and field data in muddy intertidal flat area", Proc. SPIE 7147, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Classification of Remote Sensing Images, 71471C (7 November 2008); https://doi.org/10.1117/12.813249

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KEYWORDS

Reflectivity

Data modeling

Hyperspectral imaging

Remote sensing

Vegetation

Associative arrays

Image processing

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