275
Views
10
CrossRef citations to date
0
Altmetric
Original Articles

Which Spectral Bands of WorldView-2 Are Useful in Remote Sensing of Water Depth? A Case Study in Coral Reefs

, , , &
Pages 283-292 | Received 18 Jan 2013, Accepted 24 Mar 2014, Published online: 19 Jun 2014

References

  • Akaike, H. 1974. A new look at the statistical model identification. IEEE Transactions on Automatic Control 19:716–723.
  • Babyak, M.A. 2004. What you see may not be what you get: A brief, nontechnical introduction to overfitting in regression-type models. Psychosomatic Medicine 66:411–421.
  • Bryant, R.G., and D.J. Gilvear. 1999. Quantifying geomorphic and riparian land cover changes either side of a large flood event using airborne remote sensing: River Tay, Scotland. Geomorphology 29:307–321.
  • Clark, R.K., T.H. Fay, and C.L. Walker. 1987. Bathymetry calculations with Landsat-4-TM imagery under a generalized ratio assumption. Applied Optics 26:4036–4038.
  • Clark, R.K., T.H. Fay, and C.L. Walker. 1990. Shallow-water bathymetry models using multispectral digital data. Journal of Imaging Technology 16:170–175.
  • Corucci, L., A. Masini, and M. Cococcioni. 2011. Approaching bathymetry estimation from high-resolution multispectral satellite images using a neuro-fuzzy technique. Journal of Applied Remote Sensing 5:053515.
  • Feurer, D., J.S. Bailly, C. Puech, Y. Le Coarer, and A.A. Viau. 2008. Very-high-resolution mapping of river-immersed topography by remote sensing. Progress in Physical Geography 32:403–419.
  • 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.
  • Hogrefe, 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.
  • Kanno, A., Y. Koibuchi, and M. Isobe. 2011. Shallow water bathymetry from multispectral satellite images: Extensions of Lyzenga's method for improving accuracy. Coastal Engineering Journal 53:431–450.
  • Kanno, A., and Y. Tanaka. 2012. Modified Lyzenga's method for estimating generalized coefficients of satellite-based predictor of shallow water depth. IEEE Geoscience and Remote Sensing Letters 9:715–719.
  • Leckie, D.G., E. Cloney, C. Jay, and D. Paradine. 2005. Automated mapping of stream features with high-resolution multispectral imagery: An example of the capabilities. Photogrammetric Engineering and Remote Sensing 71:145–155.
  • Legleiter, C.J., and B.T. Overstreet. 2012. Mapping gravel bed river bathymetry from space. Journal of Geophysical Research 117:F04024.
  • Lyzenga, D.R. 1985. Shallow-water bathymetry using combined LIDAR and passive multispectral scanner data. International Journal of Remote Sensing 6:115–125.
  • 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.
  • Matsumoto, M., and T. Nishimura. 1998. Mersenne twister: A 623–dimensionally equidistributed uniform pseudo–random number generator. ACM Transactions on Modeling and Computer Simulation 8:3–30.
  • Paredes, J.M., and R.E. Spero. 1983. Water depth mapping from passive remote-sensing data under a generalized ratio assumption. Applied Optics 22:1134–1135.
  • Ribeiro, S.R. A., J.A. S. Centeno, and C.P. Kreuger. 2008. An estimate of depth from a bathymetric survey and IKONOS II data by means of artificial neural network. Boletim de Ciências Geodésicas 14:171–185.
  • 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 48:547–556.
  • Su, H.B., H.X. 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: 281–298.
  • Smith, R.C., and K.S. Baker. 1981. Optical properties of the clearest natural waters (200–800 nm). Applied Optics 20:177–184.
  • Winterbottom, S.J., and D.J. Gilvear. 1997. Quantification of channel bed morphology in gravel-bed rivers using airborne multispectral imagery and aerial photography. Regulated Rivers: Research and Management 13:489–499.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.