High-resolution hyperspectral oc rs in coastal areas (2)
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Abstract
Part 2 covers the algorithms and processing of the data to produce ocean products including atmospheric correction, algorithms for both optically shallow (e.g. coral reefs) and optically deep (e.g. river plume) coastal environments. Example applications using airborne hyperspectral and HICO data are presented.
Curriculum
Bibliography
Corson, M. and C. O. Davis, 2011, “The Hyperspectral Imager for the Coastal Ocean (HICO) provides a
new view of the Coastal Ocean from the International Space Station,” AGU EOS, V. 92(19): 161‐162.
Davis, C. O., J. Bowles, R. A. leathers, D. Korwan, T. V. Downes, W. A. Snyder, W. J. Rhea, W. Chen, J.
Fisher, W. P. Bissett and R. A. Reisse, 2002, Ocean PHILLS hyperspectral imager: design,
characterization, and calibration, Optics Express, 10(4): 210‐221.
Davis, C. O., K. L. Carder, B‐C Gao, Z. P Lee and W. P. Bissett, 2006, The Development of Imaging
Spectrometry of the Coastal Ocean, IEEE Proceedings of the International Geoscience and Remote
Sensing Symposium, V. 4: 1982‐1985.
Gao, B‐C, M. J. Montes, C. O. Davis, and A. F.H. Goetz, 2009, Atmospheric correction algorithms for
hyperspectral remote sensing data of land and ocean, Remote Sensing of Environment,
doi:10.1016/j.rse.2007.12.015
Lee, Z‐P, B. Casey, R. Arnone, A. Weidemann1, R. Parsons, M. J. Montes, Bo‐Cai Gao, W. Goode, C. O.
Davis, J. Dye, 2007, Water and bottom properties of a coastal environment derived from Hyperion data
measured from the EO‐1 spacecraft platform, J. Appl. Remote Sensing, V. 1 (011502): 1‐16.
R. L. Lucke, M. Corson, N. R. McGlothlin, S. D. Butcher, D. L. Wood, D. R. Korwan, R.‐R. Li, W. A. Snyder,
C. O. Davis, and D. T. Chen, 2011, “The Hyperspectral Imager for the Coastal Ocean (HICO): Instrument
Description and First Images,” Applied Optics, V. 50 (11): 1501‐1516 doi:10.1364/AO.50.001501
Mobley, C. D., L. K. Sundman, C. O. Davis, T. V. Downes, R. A. Leathers, M. J. Montes and J. H. Bowles,
W. P. Bissett, D. D. R. Kohler, R. P. Reid, E. M. Louchard and A. Gleason, 2005, Interpretation of
hyperspectral remote‐sensing imagery via spectrum matching and look‐up tables, Applied Optics,
44(17): 3576‐3592.
Speaker(s) : Curtiss Davis, College of Oceanic Atmospheric Sciences, Oregon State University, Corvallis, OR 97331‐5503, USA
Public : All
Date : Tuesday 10 july 2012
Place : Villefranche-sur-Mer

- Ocean Colour Algorithms (1)
- Inherent optical properties of ocean waters
- Ocean Colour Algorithms (2)
- Inversion of inherent optical properties from remote sensing
- Hyperspectral remote sensing of optically shallow waters
- Atmospheric correction issues unique to shallow waters
- Iop applications
- Techniques used for inverting atmospherically corrected rrs spectra
- Improved ocean ecosystem predictions through improved light calculations
- Ecosystem predictions using accurate radiative transfer models
- Above and in water radiometry: methods and calibration requirements
- Uncertainty analysis and application of in situ radiometric products
- In Situ Measurements (1)
- Errors and uncertainties in ocean colour remote sensing (1)
- In Situ Measurements (2)
- Errors and uncertainties in ocean colour remote sensing (2)
- High-resolution hyperspectral oc rs in coastal areas (1)
- High-resolution hyperspectral oc rs in coastal areas (2)
- Atmospheric correction of ocean colour rs observations (1)
- Use and importance of oc remote sensing in global coupled bgc models
- Atmospheric correction of ocean colour rs observations (2)
- Ocean colour remote sensing in turbid coastal waters (1)
- Using the oc time series to address climate change
- Atmospheric correction of ocean colour rs observations (3)
- Ocean colour remote sensing in turbid coastal waters (2)
- Harmful algal blooms: the contrast with other algal blooms (1)
- Ocean colour remote sensing in high latitude environments (1)
- Harmful algal blooms: the contrast with other algal blooms (2)
- Phytoplankton fluorescence: theory and interpretation from oc remote sensing (2)
- Ocean colour remote sensing in high latitude environments (2)
- Phytoplankton fluorescence: theory and interpretation from oc remote sensing (1) Detailed list
Contents
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