Global shallow-water bathymetry from satellite ocean color data

Eos

Volumn 91, Issue 46, 2010, Pages 429-430

  Lee, Zhongping ^a   Hu, Chuanmin ^b   Casey, Brandon ^c   Shang, Shaoling ^d   Dierssen, Heidi ^e   Arnone, Robert ^f  

^a MISSISSIPPI STATE UNIVERSITY   (United States)

^b UNIVERSITY OF SOUTH FLORIDA   (United States)

^c STENNIS SPACE CENTER   (United States)

^d XIAMEN UNIVERSITY   (China)

^e UNIVERSITY OF CONNECTICUT   (United States)

^f NAVAL RESEARCH LABORATORY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BATHYMETRIC SURVEY; GLOBAL OCEAN; OCEAN COLOR; SATELLITE ALTIMETRY; SATELLITE DATA; SHALLOW WATER; SWATH BATHYMETRY;

ATLANTIC OCEAN; GREAT BAHAMA BANK;

EID: 78649499378     PISSN: 00963941     EISSN: None     Source Type: Journal    
DOI: 10.1029/2010EO460002     Document Type: Article

References (12)

1. Brando, V. E., J. M. Anstee, M. Wettle, A. G. Dekker, S. R. Phinn, and C. Roelfsema (2009), A physics based retrieval and quality assessment of bathymetry from suboptimal hyperspectral data, Remote Sens. Environ., 113(4), 755-770, doi:10.1016/j.rse.2008.12.003.
2. 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, Limnol. Oceanogr., 48(1), 444-455.
3. Dierssen, H. M., R. C. Zimmerman, and D. J. Burdige (2009), Optics and remote sensing of Bahamian carbonate sediment whitings and potential relationship to wind-driven Langmuir circulation, Biogeosciences, 6(3), 487-500.
4. Doerffer, R., and J. Fischer (1994), Concentrations of chlorophyll, suspended matter, and gelbstoff in case II waters derived from satellite coastal zone color scanner data with inverse modeling methods, J. Geophys. Res., 99 (C4), 7475-7466, doi:10.1029/93JC02523. (Pubitemid 24405212)
5. Klonowski, W. M., P. R. Fearns, and M. J. Lynch (2007), Retrieving key benthic cover types and bathymetry from hyperspectral imagery, J. Appl. Remote Sens., 1, 011505, doi:10.1117/1.2816113.
6. Lee, Z. P., K. L. Carder, C. D. Mobley, R. G. Steward, and J. S. Patch (1999), Hyperspectral remote sensing for shallow waters: 2. Deriving bottom depths and water properties by optimization, Appl. Opt., 38(18), 3831-3843, doi:10.1364/AO.38.003831.
7. Lyzenga, D. R. (1981), Remote sensing of bottom reflectance and water attenuation parameters in shallow water using aircraft and Landsat data, Int. J. Remote Sens., 2(1), 71-82, doi:10.1080/01431168108948342.
8. Philpot, W. D. (1989), Bathymetric mapping with passive multispectral imagery, Appl. Opt., 28(8), 1569-1578, doi:10.1364/AO.28.001569.
9. Polcyn, F. C., W. L. Brown, and I. J. Sattinger (1970), The measurement of water depth by remote sensing techniques, Rep. 8973-26-F, Univ. of Mich., Ann Arbor.
10. Sandwell, D., S. Gille, J. Orcutt, and W. Smith (2003), Bathymetry from space is now possible, Eos Trans. AGU, 84(5), 37, doi:10.1029/2003EO050002.
11. Sandwell, D. T., W. H. F. Smith, S. Gille, E. Kappel, S. R. Jayne, K. Soofi, B. Coakley, and L. Géli (2006), Bathymetry from space: Rationale and requirements for a new, high-resolution altimetric mission, C. R. Geosci., 338, 1049-1062, doi:10.1016/j. crte.2006.05.014.
12. Stumpf, R. P., K. Holderied, and M. Sinclair (2003), Determination of water depth with highresolution satellite imagery over variable bottom types, Limnol. Oceanogr., 48 (1/2), 547-556, doi:10.4319/lo.2003.48.1-part-2.0547.