Mapping underwater topography for coastal estuary ecosystem monitoring from QuickBird high-resolution multispectral imagery

Minhe Ji; Zhongwei Deng; Yimei Wu; Yuan Peng; Fu Lei

doi:10.1117/12.794115

10 September 2008 Mapping underwater topography for coastal estuary ecosystem monitoring from QuickBird high-resolution multispectral imagery

Minhe Ji, Zhongwei Deng, Yimei Wu, Yuan Peng, Fu Lei

Author Affiliations +

Proceedings Volume 7083, Remote Sensing and Modeling of Ecosystems for Sustainability V; 70830C (2008) https://doi.org/10.1117/12.794115
Event: Optical Engineering + Applications, 2008, San Diego, California, United States

Abstract

This article examines several major bathymetry mapping methods and describes an experimental procedure of determining seabed bathymetry from multi-source passive remote sensing data. Issues to be addressed include how to deal with less desirable spectral data quality and the absence of in-situ water depth measurements. A case study was presented using DigitalGlobe QuickBird and Landsat-7 ETM+ multispectral images of different dates and spatial resolutions to determine water depth for the Beilun Estuary, China. The preliminary results have led to three findings. First, it was feasible to use the tidal water line derived from the near-infrared bands as a good approximation of water surface when observed tidal data is absent. Second, the reflectance ratio transform model developed by Stumpf et al. was proven suitable for spectrally-based water depth estimation when in-situ data is absent. Finally, the data quality problem caused by thin clouds could be effectively removed by fusing remote sensing images of two different sources.

Citation Download Citation

Minhe Ji, Zhongwei Deng, Yimei Wu, Yuan Peng, and Fu Lei "Mapping underwater topography for coastal estuary ecosystem monitoring from QuickBird high-resolution multispectral imagery", Proc. SPIE 7083, Remote Sensing and Modeling of Ecosystems for Sustainability V, 70830C (10 September 2008); https://doi.org/10.1117/12.794115

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KEYWORDS

Water

Remote sensing

Data modeling

Reflectivity

Earth observing sensors

Associative arrays

Clouds

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