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. 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.