Title :
Modeling water surface reflectance signatures and in-water irradiance profiles in shallow tropical waters influenced by bottom reflectance
Author :
Bostater, Charles R., Jr.
Author_Institution :
Coll. of Eng., Florida Inst. of Technol., Melbourne, FL, USA
Abstract :
The two flow equations have been solved using Cauchy type boundary conditions so as to form a pair of coupled equations for use in a coupled atmosphere-water-bottom reflectance optical model to simulate the surface or subsurface reflectance, in-water irradiance profiles and in-water reflectance profiles in optically shallow or deep waters with or without a wind roughened surface. The model results presented utilize clear water absorption and backscatter coefficients, and bottom reflectance as a function of wavelength. The bottom reflectance is characteristic of a tropical sea grass, sand and silt and Elkhorn coral, and a dead reef system in order to evaluate the nature of the underwater light climatology. The analytical model results are compared to a hyper-spectral Monte-Carlo model. The Monte Carlo model also suggests a subsurface maximum in the intensity of light in optically shallow waters which is predicted by the analytical model
Keywords :
geophysical techniques; oceanographic techniques; remote sensing; seafloor phenomena; Cauchy type boundary conditions; Monte Carlo model; backscatter coefficients; bottom reflectance; clear water absorption; coral reef; coupled equations; in-water irradiance profile; light scattering; measurement technique; ocean; optical imaging; optical model; optics; remote sensing; sea coast; sea grass; seafloor; shallow tropical waters; subsurface reflectance; surface reflectance; two flow equations; underwater light; vegetation; water surface reflectance signature; Analytical models; Atmospheric modeling; Equations; Image motion analysis; Optical coupling; Optical surface waves; Reflectivity; Rough surfaces; Sea surface; Surface roughness;
Conference_Titel :
Geoscience and Remote Sensing, 1997. IGARSS '97. Remote Sensing - A Scientific Vision for Sustainable Development., 1997 IEEE International
Print_ISBN :
0-7803-3836-7
DOI :
10.1109/IGARSS.1997.615286