Satellite Remote Sensing as a Reconnaissance Tool for Assessing Nautical Chart Adequacy and Completeness

References

• Azuike, C., S. Pe’eri, A. Alexander, A. Armstrong, and C. Parrish. 2012. Development of a geo-spatial analysis methodology for assessing the adequacy of hydrographic surveying and nautical charting. Proceedings in the Canada Hydrographic Conference 2012, Niagara Falls, Canada, 15–17 May.
   Google Scholar
• Bachmann, C., M. Montes, C. Parrish, R. Fusina, R. Nichols, R. Li, E. Hallenborg, C. Jones, K. Lee, J. Sellars, S. White, and J. Fry. 2012. A dual-spectrometer approach to reflectance measurements under sub-optimal sky conditions. Optics Express 20:8959–8973.
   PubMed Web of Science ®Google Scholar
• Barnhardt, W.A., B.D. , Andrews1, S.D. Ackerman, W.E. Baldwin, and C.J. Hein 2007. High-Resolution Geologic Mapping of the Inner Continental Shelf: Cape Ann to Salisbury Beach, Massachusetts. . USGS Open File Report 2007–1373.
   Google Scholar
• Bramante, J.F., D.K Raju, and T.M Sin 2013. Multispectral derivation of bathymetry in Singapore's shallow, turbid waters, International Journal of Remote Sensing 34(6):2070–2088.
   Web of Science ®Google Scholar
• Dierssen, H.M., R.C. Zimmerman, R.A. Leathers, T.V. Downes, and C.O. Davis. 2003. Ocean color remote sensing of seagrass and bathymetry in the Bahamas Banks by high-resolution airborne imagery. Limnology and Oceanography Methods 48:444–455.
   Web of Science ®Google Scholar
• Flener, C., E. Lotsari, P. Alho, and J. Kayhko 2012. Comparison of empirical and theoretical remote sensing based bathymetry models in river environments. River Research and Applications 28:118–133.
   Web of Science ®Google Scholar
• Hedley, J.D., A.R. Harborne, and P.J. Mumby, 2005. Technical note: Simple and robust removal of sun glint for mapping shallow-water benthos. International Journal of Remote Sensing 26(10):2107–2112.
   Web of Science ®Google Scholar
• Hogfe, K.R., D.J. Wright, and E.J Hochberg 2008. Derivation and integration of shallow-water bathymetry: implications for coastal terrain modeling and subsequent analyses. Marine Geodesy 31:299–317.
   Web of Science ®Google Scholar
• International Hydrographic Organization (IHO). 2004. Publication C-55, Status of Hydrographic Surveying and Nautical Charting Worldwide, . 3rd edition. Monaco: Author.
   Google Scholar
• International Hydrographic Organization (IHO). 2008. IHO standards for hydrographic survey: . Special Publication No. 44, 5th edition. Monaco: Author.
   Google Scholar
• Jensen, J.R. 2007. Remote Sensing of the Environment: An Earth Resource Perspective, . 2nd edition. Upper Saddle River, NJ: Prentice Hall Prentice Hall.
   Google Scholar
• Jerlov, N.G. 1976. Marine Optics. New York: Elsevier Scientific.
   Google Scholar
• Joint Committee for Guides in Metrology (JCGM). 2008a. Evaluation of measurement data – guide to the expression of uncertainty in measurement, . Tech. Report, JCGM 100:2008, International Organization for Standardization. http://www.bipm.org/utils/common/documents/jcgm/JCGM_100_2008_E.pdf. . Last accessed 22 May 2014.
   Google Scholar
• —– 2008b. Evaluation of Measurement Data - Supplement 1 to the “Guide to the Expression of Uncertainty in Measurement - Propagation of Distributions Using a Monte Carlo Method. . Tech. Report JCGM 101:2008. International Organization for Standardization. . http://www.bipm.org/utils/common/documents/jcgm/JCGM_101_2008_E.pdf. . Last accessed 22 May 2014.
   Google Scholar
• Louchard, E.M, R.P. Reid, F.C. Stephens, C.O. Davis, R.A. Leathers, and T.V. Downeset. 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: Methods 48:511–521.
   Web of Science ®Google Scholar
• Lyzenga, D.R. 1978. Passive remote sensing techniques for mapping water depth and bottom features. Applied Optics 17:379–383.
   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: 115–125.
   Web of Science ®Google Scholar
• Lyzenga, D.R., N.P. Malinas, and F.J. Tanis. 2006. Multispectral bathymetry using a simple physically based algorithm. IEEE Transactions on Geoscience and Remote Sensing 44:2251–2259.
   Web of Science ®Google Scholar
• Maritorena, S., A. Morel, and B. Gentili. 1994. Diffuse reflectance of oceanic shallow waters: Influence of water depth and bottom albedo. Limnology and Oceanography: Methods 39:1689–1703.
   Web of Science ®Google Scholar
• Mikhail, E. 1976. Observations and Least Squares. Lanham, MD: University Press of America.
   Google Scholar
• Mobley, C.D. 2004. Light and Water: Radiative Transfer in Neutral Waters [CD Rom]. San Diego, CA: Academic Press.
   Google Scholar
• Mobley, C.D., H. Zhang, and K.J. Voss. 2003. Effects of optically shallow bottom on upwelling radiances: Bi-directional reflectance distribution function effects. Limnology and Oceanography: Methods 48:337–345.
   Web of Science ®Google Scholar
• Myers, E., K. Hess, Z. Yang, J. Xu, A. Wong, D. Doyle, J. Woolard, S. White, B. Le, S. Gill, and G. Hovis. 2007. VDatum and strategies for national coverage. Proceedings of the Marine Technology Society/IEEE OCEANS Conference, Vancouver, British Columbia, Canada.
   Google Scholar
• National Oceanic and Atmospheric Administration (NOAA). 2009a. Chart 13279: Ipswich Bay to Gloucester Harbor, . 33rd edition. Scale: 1:20,000. Silver Spring, MD.
   Google Scholar
• National Oceanic and Atmospheric Administration (NOAA). 2009b. Chart 13278: Portsmouth to Cape Ann, . 27th edition. Scale: 1:80,000. Silver Spring, MD.
   Google Scholar
• National Oceanic and Atmospheric Administration (NOAA). 2012. Vertical Datum Transformation: . VDatum 3.1. . http://vdatum.noaa.gov/. Last accessed December 2012.
   Google Scholar
• Papadopoulos, C.E., and H. Yeung. 2001. Uncertainty estimation and Monte Carlo simulation method. Flow Measurement and Instrumentation 12(4): 291–298.
   Web of Science ®Google Scholar
• Pe’eri, S., J.V. Gardner, L.G. Ward, and J.R. Morrison. 1996. The seafloor: A key factor in LiDAR bottom detection. IEEE Transactions on Geoscience and Remote Sensing 5: 1266–1271.
   Google Scholar
• Philpot, W.D. 1989. Bathymetric mapping with passive, multispectral imagery. Applied Optics 28:1569–1578.
   PubMed Web of Science ®Google Scholar
• Philpot, W.D., C.O. Davis, W.P. Bissett, C.D. Mobley, D.D. R. Kohler, Z. Lee, J. Bowles, R.G. Steward, Y. Agrawal, J. Trowbridge, R.W. Gould, Jr., and R.A. Arnone. 2004. Bottom characterization from hyperspectral image data. Oceanography 17(2):76–85. . http://dx.doi.org/10.5670/oceanog.2004.50.
   Google Scholar
• Powell, J., C. Ence, T. Wallace, A. Jett, K. O’Dell, M. Lewis, J. Arias, and T. Kearns. 2009. Using ArcGIS Nautical Solution to Produce Navigational Products. Proceedings of the U.S. Hydrographic Conference, Norfolk, VA.
   Google Scholar
• Robinson, I.S. 2004. Measuring the Oceans from Space: The Principles and Methods of Satellite Oceanography. Chichester: Praxis Publishing.
   Google Scholar
• Sandidge, J.C., and R.J. Holyer 1998. Coastal bathymetry from hyperspectral observations of water radiance.Remote Sensing Environment 65:341–352.
   Web of Science ®Google Scholar
• Stumpf, R.P., K. Holderied, and M. Sinclair. 2003. Determination of water depth with high-resolution satellite imagery over variable bottom types. Limnology and Oceanography: Methods 48:547–556.
   Web of Science ®Google Scholar
• Su, H., H. Liu, and W.D. Heyman. 2008. Automated derivation of bathymetric information from multi-spectral satellite imagery using a non-linear inversion model. Marine Geodesy 31:81–298.
   Web of Science ®Google Scholar
• Vanderstraete, T., R. Goossens, and T.K. Ghabour. 2006. The use of multi-temporal Landsat images for the change detection of the coastal zone near Hurghada, Egypt. International Journal of Remote Sensing 27(17):3645–3655.
   Web of Science ®Google Scholar
• Vogelmann, J.E., D. Helder, R. Morfitt, M.J. Choate, J.W. , Merchant, and H. Bulley. 2001. Effects of Landsat 5 thematic mapper and Landsat 7 enhanced thematic mapper plus radiometric and geometric calibrations and corrections on landscape characterization. Remote Sensing Environment 78:55–70.
   Web of Science ®Google Scholar
• U.S. Geological Survey (USGS). 2006. Landsat 7 (L7) Image Assessment System (IAS) Geometrical Algorithm Theoretical Basis Document (ATBD), . Tech. Report LS-IAS-01.
   Google Scholar
• United Kingdom Hydrographic Office (UKHO). 1989. Admiralty Chart 1797: Monkey River to Colson Point . (latest edition 24 December 2009). Scale: 1:125,000. Taunton, UK.
   Google Scholar
• United Kingdom Hydrographic Office (UKHO). 2000. Admiralty Chart 3321: Entrances to Escravos and Forcados . Rivers (latest edition 31 July 2008). Scale: 1:60,000. Taunton, UK.
   Google Scholar