Unmixing of spectral components affecting AVIRIS imagery of Tampa Bay

Kendall L. Carder; Z. P. Lee; Robert F. Chen; Curtiss O. Davis

doi:10.1117/12.157045

23 September 1993 Unmixing of spectral components affecting AVIRIS imagery of Tampa Bay

Kendall L. Carder, Z. P. Lee, Robert F. Chen, Curtiss O. Davis

Proceedings Volume 1937, Imaging Spectrometry of the Terrestrial Environment; (1993) https://doi.org/10.1117/12.157045
Event: Optical Engineering and Photonics in Aerospace Sensing, 1993, Orlando, FL, United States

Abstract

According to Kirk's as well as Morel and Gentili's Monte Carlo simulations, the popular simple expression, R approximately equals 0.33 b_b/a, relating subsurface irradiance reflectance (R) to the ratio of the backscattering coefficient (b_b) to absorption coefficient (a), is not valid for b_b/a > 0.25. This means that it may no longer be valid for values of remote-sensing reflectance (above-surface ratio of water-leaving radiance to downwelling irradiance) where Rrs4/ > 0.01. Since there has been no simple Rrs expression developed for very turbid waters, we developed one based in part on Monte Carlo simulations and empirical adjustments to an R_rs model and applied it to rather turbid coastal waters near Tampa Bay to evaluate its utility for unmixing the optical components affecting the water- leaving radiance. With the high spectral (10 nm) and spatial (20 m²) resolution of Airborne Visible-InfraRed Imaging Spectrometer (AVIRIS) data, the water depth and bottom type were deduced using the model for shallow waters. This research demonstrates the necessity of further research to improve interpretations of scenes with highly variable turbid waters, and it emphasizes the utility of high spectral-resolution data as from AVIRIS for better understanding complicated coastal environments such as the west Florida shelf.

Citation Download Citation

Kendall L. Carder, Z. P. Lee, Robert F. Chen, and Curtiss O. Davis "Unmixing of spectral components affecting AVIRIS imagery of Tampa Bay", Proc. SPIE 1937, Imaging Spectrometry of the Terrestrial Environment, (23 September 1993); https://doi.org/10.1117/12.157045

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