About: Sunglint is a research topic. Over the lifetime, 202 publications have been published within this topic receiving 6111 citations. The topic is also known as: sun-glint.
TL;DR: In this paper, a multiscale multi-component optical model for natural waters is proposed to estimate the optical properties of aquatic components from a single-wavelength colorimetric system.
Abstract: Introductory Theory Aquatic Optics The Nature of Electromagnetic Radiation and Light Radiance and Irradiance Attenuation of Light in an Aquatic Medium Spectral Albedo Environmental Remote Sensing and Space Science Remote Measurements Above Water The Boundary Conditions of the Considered Problem Incident Radiation The Sun and Extraterrestrial Solar Radiation Atmospheric Attenuation and Global Radiation Stratospheric Ozone and Ultraviolet Solar Radiation Clouds Diffuse Sky Radiation Water Surface Albedo The Propagation of Atmospheric Photon Fluxes into Natural Waters Optical Classification of Natural Waters Photon Interactions with the Air-Water Interface The Impact of Wave Slope on Reflection from the Air-Water Interface Satellite Sensor, Sunglint, and Curvature of the Earth Apparent and Inherent Optical Properties of Natural Waters Monte Carlo Simulations of Photon Propagation Bulk and Specific Inherent Optical Properties Dependence of the Underwater Light Field on Solar Zenith Angle and Sky Irradiance Composition of Natural Waters The Aquatic Food Chain (Trophic Levels) Pure Water Dissolved Salts and Gases Dissolved Organic Matter Suspended Matter Air Bubbles Cumulative Optical Impact of the Aquatic Components The Impact of Chlorophyll, Suspended Minerals, and Dissolved Organic Carbon on Volume Reflectance Optical Cross Sections Multi-Component Optical Model for Natural Waters Impact of Chlorophyll on Volume Reflectance Spectra Impact of Suspended Minerals on Volume Reflectance Spectra Impact of Dissolved Organic Matter on Volume Reflectance Spectra Volume Reflectance in Non-Case I Water Bodies Containing Moderate to High Concentrations of Dissolved Organic Matter Volume Reflectance at a Single Wavelength Deconvolving the Aquatic Organic and Inorganic Components from the Volume Reflectance Spectra Multivariate Optimization as a Means of Deconvolving the Aquatic Organic and Inorganic Concentrations From the Volume Reflectance Spectra Chromaticity and the Colour of Natural Waters Colour and Volume Reflectance Photometric Units Colorimetric System: Chromaticity Chromaticity as a Means of Estimating Aquatic Component Concentrations Chromaticity and Remote Sensing Observations of Optical Properties of Natural Waters (The Laurentian Great Lakes) Introductory Remarks The Secchi Disk and Attenuation of Subsurface Irradiance Beam Transmission, T(l,z) The Nepheloid Layer Irradiance Attenuation Coefficient for PAR Photosynthetic Usable Radiation, PUR Photic Depth Spectral Band Values of Irradiance Attenuation Coefficients Subsurface Sighting Range The Trophic Status of Natural Water Optics and the Status of the Great Lakes Remote Sensing Over Natural Water Upwelling Radiation Through the Air-Water Interface Accounting for Atmospheric Intervention Radiative Transfer Models Existing Atmospheric Correction Models A Thematic Mapper Illustration Remote Sensing of Water Quality Parameters A Very Brief Inventory of Environmental Satellites Primary Production in Natural Water Photosynthesis Phytoplankton Photosynthesis (Primary Production) Remotely Estimating Phytoplankton Photosynthesis Phytoplankton Primary Production from Estimates of Aquatic Chlorophyll Chlorophyll and Biomass of Ocean Waters Chlorophyll and Biomass of Inland and Coastal Waters Protocol for Remotely Estimating Primary Production in Non-Case I Waters Available Light for Photochemical and Photobiological Activity An Example of Primary Production in Ladoga Lake Aquatic Remote Sensing in Regional and Global Environmental Monitoring Ecosystems at Risk Satellites and Global Change Satellites and Hydrology Climate Change Effects of Enhanced UV-B on Phytoplankton Photosynthesis Global Water Bodies and the Gaia Hypothesis Remote Sensing and Water Quality
TL;DR: In this paper, a multispectral expert system used a neural network approach to provide Rapid Response thickness class maps using a spectral library approach based on the shape and depth of near infrared spectral absorption features.
TL;DR: Current techniques to estimate and remove the glint radiance component from imagery, the specular reflection of light from water surfaces, are reviewed.
Abstract: Sun glint, the specular reflection of light from water surfaces, is a serious confounding factor for remote sensing of water column properties and benthos. This paper reviews current techniques to estimate and remove the glint radiance component from imagery. Methods for processing of ocean color images use statistical sea surface models to predict the glint from the sun and sensor positions and wind data. Methods for higher resolution imaging, used in coastal and shallow water mapping, estimate the glint radiance from the near-infrared signal. The effects of some current methods are demonstrated and possibilities for future techniques are briefly addressed.
TL;DR: In this article, the distribution of brightness of sun glitter on the sea surface is interpreted in terms of the statistics of the sea-surface slope distribution, and the method consists of two phases: (I) identifying, from the law of reflection, any point on the surface with the particular slope required to reflect the sun's rays toward the observer, and (II) interpreting the average brightness of the seafloor in the vicinity of this point, and interpreting the frequency with which this particular slope occurs.
Abstract: Part I: Experimental Method and Observations.-The distribution of brightness of sun glitter on the sea surface is interpreted in terms of the statistics of the sea-surface slope distribution. The method consists of two phases: (I) identifying, from the law of reflection, any point on the surface with the particular slope required to reflect the sun's rays toward the observer, and (2) interpreting the average brightness of the sea surface in the vicinity of this point in terms of the frequency with which this particular slope occurs. The computation of the probability of large (and infrequent) slopes is limited by the disappearance of the glitter into a background consisting of (1) sunlight scattered from particles beneath the sea surface, and (2) skylight reflected by the sea surface. The method has been applied to aerial photographs taken near the Hawaiian Islands. Winds were measured from a vessel at the time and place of the aerial photographs, and cover a range from 1 to 14 m. set.-I The logarithmic distribution of slopes has been tabulated for various wind speeds. A two-dimensional Gram-Charlier series is fitted to the data. As a first approximation the distribution is Gaussian and isotropic. The mean square slope (regardless of direction) increases linearly with the wind speed, reaching a value of (tan 16 )* for a wind speed of 14 m. set.-I The ratio of the crosswind to the up/downwind mean square slope component varies depending on the steadiness of the wind from 1.0 to 0.5. There is some skewness which increases with increasing wind speed. As a result the most probable slope at high winds is not zero but a few degrees, with the azimuth of ascent pointing downwind. The measured peakedness is near the limit of observational error and is such as to make the probability of very large and very small slopes greater than Gaussian. The effect of oil slicks covering an area of one-quarter square mile is to reduce the mean square slopes by a factor of two or three, to eliminate skewness, but to leave peakedness unchanged. Part II: Interpretation.-An attempt is made to interpret the results given in Part I in terms of models having simple wave spectra. The observed nearly Gaussian distribution of slopes is inconsistent with a spectrum consisting of a few discrete frequencies, but can be accounted for by a continuous spectrum of arbitrary width or a large number of discrete frequencies. The observed skewness may be a nonlinear effect, and is not treated. The observed ratio between cross- and up/ downwind slopes can be interpreted in terms of two wave beams intersecting at 70°, or a single wide beam subtending 130'. These values apply to the relatively short waves that contribute largely to the slope spectrum. The observed proportionality between mean square slope and wind speed follows from a spectrum proposed by Neumann on the basis of wave amplitude observations, but yields a constant of proportionality too small by a factor of three. A spectrum proposed by Darby- shire cannot be reconciled with the observed slope distribution. Measurements of curvature will provide a critical test of the high-frequency end of the spectrum. An extrapolation of the Neumann spectrum into the region of capillary waves predicts an r.m.s. by a slick may be accounted for by assuming that the slick forms an inextensible surface against which waves (Neumann spectrum) are dissipated by viscosity. Some difficulties of this interpretation are stated. The distribution of surface-particle acceleration is closely related to the distribution of slopes. The total mean square acceleration increases linearly with wind speed and reaches a value of (0.4 g.)= at a wind speed of 14 m, set.-I Part III: Application.-Measurements of the probability distribution of sea-surface slopes have made accessible to numerical treatment problems involving the interaction of short-wave radiation with a roughened sea surface. It is found that the refracted sun's glitter (as seen from beneath the surface) is scattered into a smaller solid angle but is about one thousand times more luminous (neglecting absorption) than the reflected glitter, and that, unlike the reflected glitter, it expands and dims as the sun sets. The albedo of a rough surface to direct sunlight is slightly larger at high sun angles, and substantially smaller at low sun angles, than the albedo of a flat surface. Accordingly, more solar energy penetrates waters at high latitudes than had previously been estimated, and the amount of this additional energy depends upon wind speed. The luminosity of the sea surface due to skylight has been computed for various conditions. A rough surface is darker at the horizon than a smooth surface, thus enhancing the horizon contrast. The albedo of the sea surface to skylight varies from 5 to 10 per cent depending on the distribution of illumination from the sky; it is largest when the sea is flat calm. The roughening by a Beaufort 4 wind reduces the albedo by about 20 per cent. Finally, a discussion of the visibility of slicks is given. When illuminated with skylight, natural slicks, of a thickness small compared to a wave length of light, contrast with a clean sea surface most sharply when they are near the horizon. Freshly spread oil slicks, on the other hand, show more contrast directly beneath the observer.
TL;DR: An original atmospheric correction algorithm, named POLYMER, is described, designed to recover ocean color parameters in the whole sun glint pattern, applied to MERIS data, and validated against in-situ data from SIMBADA.
Abstract: The sun glint is a major issue for the observation of ocean color from space. For sensors without a tilting capacity, the observations at sub-tropical latitudes are contaminated by the bright pattern of the specular reflexion of the sun by the wavy sea surface. Common atmospheric correction algorithms are not designed to work in these observation conditions, reducing the spatial coverage at such latitudes by nearly a half. We describe an original atmospheric correction algorithm, named POLYMER, designed to recover ocean color parameters in the whole sun glint pattern. It has been applied to MERIS data, and validated against in-situ data from SIMBADA. The increase of useful coverage of MERIS measurements for ocean color is major, and the accuracy of the retrieved parameters is not significantly reduced in the presence of high sunglint, while, outside the sunglint area, it remains about the same as by using the standard algorithm.