Multispectral derivation of bathymetry in Singapore's shallow, turbid waters

References

• Albert , A. and Gege , P. 2006 . Inversion of Irradiance and Remote Sensing Reflectance in Shallow Water between 400 and 800 nm for Calculations of Water and Bottom Properties . Applied Optics , 45 : 2331 – 43 .
   PubMed Web of Science ®Google Scholar
• Bills , B. G. , Borsa , A. A. and Comstock , R. L. 2007 . MISR-Based Passive Optical Bathymetry from Orbit with Few-cm Level of Accuracy on the Salar De Uyuni, Bolivia . Remote Sensing of Environment , 107 : 240 – 55 .
   Web of Science ®Google Scholar
• Brando , V. E. , Anstee , J. M. , Wettle , M. , Dekker , A. G. , Phinn , S. R. and Roelfsema , C. 2009 . A Physics Based Retrieval and Quality Assessment of Bathymetry from Suboptimal Hyperspectral Data . Remote Sensing of Environment , 113 : 755 – 70 .
   Web of Science ®Google Scholar
• Brando , V. E. and Dekker , A. G. 2003 . Satellite Hyperspectral Remote Sensing for Estuarine and Coastal Water Quality . IEEE Transactions on Geoscience and Remote Sensing , 41 : 1378 – 87 .
   Web of Science ®Google Scholar
• Cannizzaro , J. P. and Carder , K. L. 2006 . Estimating Chlorophyll a Concentrations from Remote-Sensing Reflectance in Optically Shallow Waters . Remote Sensing of Environment , 101 : 13 – 24 .
   Web of Science ®Google Scholar
• Carder , K. L. , Cannizzaro , J. P. and Lee , Z. P. 2005 . Ocean Color Algorithms in Optically Shallow Waters: Limitations and Improvements . Proceedings of SPIE , 5885 : 1 – 11 .
   Google Scholar
• Gao , J. 2009 . Bathymetric Mapping by Means of Remote Sensing: Methods, Accuracy, and Limitations . Progress in Physical Geography , 33 : 103 – 16 .
   Web of Science ®Google Scholar
• Gordon , A. D. 1994 . Identifying Genuine Clusters in a Classification . Computational Statistics and Data Analysis , 18 : 561 – 81 .
   Web of Science ®Google Scholar
• Gould , R. W. J. , Arnorne , R. A. and Sydor , M. 2001 . Absorption, Scattering, and Remote-Sensing Reflectance Relationships in Coastal Waters: Testing a New Inversion Algorithm . Journal of Coastal Research , 17 : 328 – 41 .
   Web of Science ®Google Scholar
• Hochberg , E. J. , Atkinson , M. J. and Andrefouet , S. 2003 . Spectral Reflectance of Coral Reef Bottom-Types Worldwide and Implications for Coral Reef Remote Sensing . Remote Sensing of Environment , 85 : 159 – 73 .
   Web of Science ®Google Scholar
• Hoepffner , N. and Zibordi , G. 2009 . “ Remote Sensing of Coastal Waters ” . In Encyclopedia of Ocean Sciences , 2nd , Edited by: Steele , J. H. , Turekian , K. K. and Thorpe , S. A. 732 – 41 . London: Elsevier Ltd .
   Google Scholar
• IHO. 2011. Regulations of the IHO for International (INT) Charts and Chart Specifications of the IHO. 4.2.0 ed. Published by International Hydrographic Bureau Monaco. http://www.iho.int (http://www.iho.int) (Accessed: 1 January 2012 ).
   Google Scholar
• IOCC , G. 2006 . “ Remote Sensing of Inherent Optical Properties: Fundamentals, Tests of Algorithms, and Applications ” . In Reports of the International Ocean-Colour Coordinating Group , Edited by: Lee , Z. 1 – 122 . Canada : Dartmouth .
   Google Scholar
• Kaandorp , J. A. , Filatov , M. and Chindapol , N. 2011 . “ Simulating and Quantifying the Environmental Influence on Coral Colony Growth and Form ” . In Coral Reefs: An Ecosystem in Transition , Edited by: Dubinsky , Z. and Stambler , N. 177 – 85 . New York : Springer .
   Google Scholar
• Kanno , A. , Koibuchi , Y. and Isobe , M. 2011 . Statistical Combination of Spatial Interpolation and Multispectral Remote Sensing for Shallow Water Bathymetry . IEEE Geoscience and Remote Sensing Letters , 8 : 64 – 7 .
   Web of Science ®Google Scholar
• Kao , H. M. , Ren , H. , Lee , C. S. , Chang , C. P. , Yen , J. Y. and Lin , T. H. 2009 . Determination of Shallow Water Depth Using Optical Satellite Images . International Journal of Remote Sensing , 30 : 6241 – 60 .
   Web of Science ®Google Scholar
• Lafon , V. , Froidefond , J. M. , Lahet , F. and Castaing , P. 2002 . SPOT Shallow Water Bathymetry of a Moderately Turbid Tidal Inlet Based on Field Measurements . Remote Sensing of Environment , 81 : 136 – 48 .
   Web of Science ®Google Scholar
• Lee , Z. P , Brandon , C. , Parsons , R. , Goode , W. , Weidemann , A. and Arnorne , R. Bathymetry of Shallow Coastal Regions Derived from Space-Borne Hyperspectral Sensor . Proceedings of MTS/IEEE Oceans 2005 . September 17–23 , Washington , DC . pp. 2160 – 70 . Piscataway , NJ : IEEE .
   Google Scholar
• Lee , Z. P. , Carder , K. L. and Arnorne , R. A. 2002 . Deriving Inherent Optical Properties from Water Color: A Multiband Quasi-Analytical Algorithm for Optically Deep Waters . Applied Optics , 41 : 5755 – 72 .
   PubMed Web of Science ®Google Scholar
• Lee , Z. P. , Carder , K. L. , Mobley , C. D. , Steward , R. G. and Patch , J. P. 1998 . Hyperspectral Remote Sensing for Shallow Waters: I. A Semianalytical Model . Applied Optics , 37 : 6329 – 38 .
   PubMed Web of Science ®Google Scholar
• Lee , Z. P. , Carder , K. L. , Mobley , C. D. , Steward , R. G. and Patch , J. P. 1999 . Hyperspectral Remote Sensing for Shallow Waters: 2. Deriving Bottom Depths and Water Properties by Optimization . Applied Optics , 38 : 3831 – 43 .
   PubMed Web of Science ®Google Scholar
• Lesser , M. P. , Mazel , C. , Phinney , D. and Yentsch , C. S. 2000 . Light Absorption and Utilization by Colonies of the Congeneric Hermatypic Corals Montastraea f aveolata and Montastraea c avernosa . Limnology and Oceanography , 45 : 76 – 86 .
   Web of Science ®Google Scholar
• Louchard , E. M. , Reid , R. P. , Stephens , C. , Davis , C. O. , Leathers , R. A. and Downes , T. V. 2003 . Optical Remote Sensing of Benthic Habitats and Bathymetry in Coastal Environments at Lee Stocking Island, Bahamas: A Comparative Spectral Classification Approach . Limnology and Oceanography , 48 : 511 – 21 .
   Web of Science ®Google Scholar
• Lyzenga , D. R. 1978 . Passive Remote Sensing Techniques for Mapping Water Depth and Bottom Features . Applied Optics , 17 : 379 – 83 .
   PubMed Web of Science ®Google Scholar
• Lyzenga , D. R. 1985 . Shallow-Water Bathymetry Using Combined LIDAR and Passive Multispectral Scanner Data . International Journal of Remote Sensing , 6 : 115 – 25 .
   Web of Science ®Google Scholar
• Lyzenga , D. R. , Malinas , N. P. and Tanis , F. J. 2006 . Multispectral Bathymetry Using a Simple Physically Based Algorithm . IEEE Transactions on Geoscience and Remote Sensing , 44 : 2251 – 9 .
   Web of Science ®Google Scholar
• Maritorena , S. , Morel , A. and Gentili , B. 1994 . Diffuse Reflectance of Oceanic Shallow Waters: Influence of Water Depth and Bottom Albedo . Limnology and Oceanography , 39 : 1689 – 703 .
   Web of Science ®Google Scholar
• Maritorena , S. , Siegel , D. A. and Peterson , A. R. 2002 . Optimization of a Semi-Analytical Ocean Color Model for Global-Scale Applications . Applied Optics , 41 : 2705 – 14 .
   PubMed Web of Science ®Google Scholar
• Mayer , B. and Kylling , A. 2005 . Technical Note: The libRadtran Software Package for Radiative Transfer Calculations – Descriptions and Examples of Use . Atmospheric Chemistry and Physics , 5 : 1855 – 77 .
   Web of Science ®Google Scholar
• Minghelli-Roman , A. , Goreac , A. , Mathieu , S. , Spigai , M. and Gouton , P. 2009 . Comparison of Bathymetric Estimation Using Different Satellite Images in Coastal Sea Waters . International Journal of Remote Sensing , 30 : 5737 – 50 .
   Web of Science ®Google Scholar
• Mobley , C. D. , Sundman , L. K. , Davis , C. O. , Bowles , J. H. , Downes , T. V. , Leathers , R. A. , Montes , M. J. , Bissett , W. P. , Kohler , D. D. R. , Reid , R. P. , Louchard , E. M. and Gleason , A. 2005 . Interpretation of Hyperspectral Remote-Sensing Imagery by Spectrum Matching and Look-up Tables . Applied Optics , 44 : 3576 – 92 .
   PubMed Web of Science ®Google Scholar
• Monismith , S. G. 2007 . Hydrodynamics of Coral Reefs . Annual Review of Fluid Mechanics , 39 : 37 – 55 .
   Web of Science ®Google Scholar
• Philpot , W. D. 1989 . Bathymetric Mapping with Passive Multispectral Imagery . Applied Optics , 28 : 1569 – 78 .
   PubMed Web of Science ®Google Scholar
• Reinersman , P. N. , Carder , K. L. and Chen , F. R. 1998 . Satellite-Sensor Calibration Verification with the Cloud-Shadow Method . Applied Optics , 37 : 5541 – 9 .
   PubMed Web of Science ®Google Scholar
• Stumpf , R. P. , Holdried , K. and Sinclair , M. 2003 . Determination of Water Depth with High-Resolution Satellite Imagery over Variable Bottom Types . Limnology and Oceanography , 48 : 547 – 56 .
   Web of Science ®Google Scholar
• Yentsch , C. S. , Yentsch , C. M. , Cullen , J. J. , Lapointe , B. , Phinney , B. A. and Yentsch , S. W. 2002 . Sunlight and Water Transparency: Cornerstones in Coral Research . Journal of Experimental Marine Biology and Ecology , 268 : 171 – 83 .
   Web of Science ®Google Scholar