Results 311 to 320 of about 86,247 (358)
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Reliability of backscattering from remotely sensed reflectance
Optical Society of America Annual Meeting, 1991Monte Carlo simulation is used to evaluate the reliability of backscattering calculated from remotely sensed reflectance following the equations of Zaneveld (1989). The required optical properties include upwelling nadir radiance, downwelling scalar irradiance, and the hydrosol absorption.
Alan Weidemann, Robert Stavn
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Model for the interpretation of hyperspectral remote-sensing reflectance
Applied Optics, 1994Remote-sensing reflectance is easier to interpret for the open ocean than for coastal regions because the optical signals are highly coupled to the phytoplankton (e.g., chlorophyll) concentrations. For estuarine or coastal waters, variable terrigenous colored dissolved organic matter (CDOM), suspended sediments, and bottom reflectance, all factors that
Z, Lee +5 more
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Modeling the remote-sensing reflectance of highly turbid waters
Applied Optics, 2019In ocean-color remote sensing, subsurface remote-sensing reflectance (r r s ) of optically deep waters can be linked to its absorption (a) and backscattering coefficients (b b ) by various models. The use of such models allows for quick calculations r r s from such coefficients, eliminating the need to solve the radiative transfer equation.
Joel Wong +3 more
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Spectral Reflectance Properties of Hydrocarbons: Remote-Sensing Implications
Science, 1989The spectral reflectance properties of bituminous tar sands were examined in the wavelength range from 0.35 to 2.6 micrometers. Unique absorption features due to all the major phases, except quartz, appear in the spectra. The intensities of the absorption features correlate with the abundances of the various phases.
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Reflectance characteristics of rocks in geological remote sensing
Journal of the Indian Society of Remote Sensing, 1988Surface and laboratory measured reflectance data of various rock types were analysed for the possible correlation with Landsat MSS response using statistical methods. It is found that band 6(0.7–0.8 μm) in field and satellite and band 7(0.8–1.1) in field and laboratory data have maximum correlation coefficient.
R. Nagarajan, G. Venkataraman
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Surface polarized reflectance analysis for aerosol remote sensing
Remote Sensing of Clouds and the Atmosphere XXIV, 2019SPIE Remote Sensing, 2019, Strasbourg, France,
Korkin, Sergey, Lyapustin, Alexei
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Reflectance Retrieval from Lunar Surface Remote Sensing Image
2008 China-Japan Joint Microwave Conference, 2008This paper presents a method for reflectance retrieval from lunar surface remote sensing image. At first, shadow are judged in lunar surface remote sensing image using corresponding DEM for remote sensing image and solar orientation. Then, all pixels can be divided into two kinds of pixels with shadow and pixels without shadow.
Li Xianhua +4 more
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A discrete bidirectional reflectance model in remote sensing
Journal of Quantitative Spectroscopy and Radiative Transfer, 2003A numerical scheme is devised to develop a discrete bidirectional reflectance model. A pseudospectral method is utilized with which the discrete solution of the radiative transfer equation is made part of this development. To produce discrete bidirectional reflectance values, a set of algebraic equations is solved.
Falih Ahmad +2 more
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Remote Sensing of Angular Characteristics of Canopy Reflectances
IEEE Transactions on Geoscience and Remote Sensing, 1985The influence of the atmosphere on the remotely sensed angular distribution of canopy reflectance is studied by radiative transfer calculations with both a coupled atmosphere-canopy model and a pure atmosphere model with the canopy replaced by an equivalent bidirectional reflectance distribution function (BRDF).
Clemens Simmer, Siegfried W. Gerstl
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Determination of ocean reflectance by multispectral remote sensing
Acta Astronautica, 1984Abstract The reflectance of the atmosphere-ground system is measured by a multichannel spectrometer MKS on board the satellite “Interkosmos 21” in 13 narrow spectral channels between 400 and 900 nm. The aim of this experiment is the investigation of ocean reflectance and its dependence on wavelength λ and on suspended material (phytoplankton). To get
B. Piesik, G. Zimmermann
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