Derivation and Integration of Shallow-Water Bathymetry: Implications for Coastal Terrain Modeling and Subsequent Analyses

Satellite and acoustic remote sensing enable the collection of high-resolution seafloor bathymetry data for integration with terrestrial elevations into coastal terrain models. A model of Tutuila Island, American Samoa, is created using depths derived from IKONOS satellite imagery to provide data in the near-shore gap between sea level and the beginning of sonar data at 10–15 m depth. A derivation method gauging the relative attenuation of blue and green spectral radiation is proven the most effective of several proposed in recent literature. The resulting coastal terrain model is shown to be accurate through statistical analyses and topographic profiles.

[1]  Alan T. White,et al.  Integrated Coastal Management in Philippine Local Governance: Evolution and Benefits , 2006 .

[2]  P. Mumby,et al.  The cost-effectiveness of remote sensing for tropical coastal resources assessment and management , 1999 .

[3]  Serge Andréfouët,et al.  Sea surface correction of high spatial resolution Ikonos images to improve bottom mapping in near-shore environments , 2003, IEEE Trans. Geosci. Remote. Sens..

[4]  Kyle R. Hogrefe Derivation of near-shore bathymetry from multispectral satellite imagery used in a coastal terrain model for the topographic analysis of human influence on coral reefs , 2008 .

[5]  K. Sealey Large-scale ecological impacts of development on tropical islands systems: Comparison of developed and undeveloped islands in the central Bahamas , 2004 .

[6]  John W. McManus,et al.  Reefs at Risk , 1998 .

[7]  A. Shapiro,et al.  Summit-to-sea mapping and change detection using satellite imagery: tools for conservation and management of coral reefs. , 2005, Revista de biologia tropical.

[8]  Yaron Felus,et al.  Spatial Modeling and Analysis for Shoreline Change Detection and Coastal Erosion Monitoring , 2001 .

[9]  R. Stumpf,et al.  Determination of water depth with high‐resolution satellite imagery over variable bottom types , 2003 .

[10]  E. LeDrew,et al.  Remote sensing of coral reefs and their physical environment. , 2004, Marine pollution bulletin.

[11]  John D. Hedley,et al.  Technical note: Simple and robust removal of sun glint for mapping shallow‐water benthos , 2005 .

[12]  T. Hoffmann The Reimplementation of the Ra'ui: Coral Reef Management in Rarotonga, Cook Islands , 2002 .

[13]  S. Andréfouët,et al.  Revisiting coral reef connectivity , 2002, Coral Reefs.

[14]  K. Burnett,et al.  Comparison of Digital Elevation Models for Aquatic Data Development , 2003 .

[15]  David R. Lyzenga,et al.  Shallow-water bathymetry using combined lidar and passive multispectral scanner data , 1985 .

[16]  J. C. Marquesb,et al.  User-friendly guide for using benthic ecological indicators in coastal and marine quality assessment , 2006 .

[17]  Darius J. Semmens,et al.  The Automated Geospatial Watershed Assessment tool , 2007, Environ. Model. Softw..

[18]  Dean B. Gesch,et al.  Development of a seamless multisource topographic/bathymetric elevation model of Tampa Bay , 2001 .