The Experts below are selected from a list of 294 Experts worldwide ranked by ideXlab platform
Howard R. Gordon - One of the best experts on this subject based on the ideXlab platform.
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Spectral Reflectance of whitecaps: Their contribution to water‐leaving radiance
Journal of Geophysical Research: Oceans, 2000Co-Authors: Karl D. Moore, Kenneth J. Voss, Howard R. GordonAbstract:A radiometric system, deployed from a ship, is used to measure directly the influence of the presence of breaking waves (whitecaps) on the upwelling radiance above the sea surface. Estimates of their remote sensing augmented Spectral Reflectance, i.e., the temporally averaged or spatially averaged increase in the ocean's Reflectance over and above the Reflectance in the absence of breaking waves, are provided from measurements in the tropical Pacific. The accuracy of these estimates is dependent on their ability to determine radiometrically the background Reflectance of the water. In the visible the remote sensing augmented Spectral Reflectance of whitecaps measured in the open ocean was found to be essentially independent of wavelength and in the range 0.001- 0.002 for wind speeds of 9 -12 m s 21 . This is in reasonably good agreement (within a factor of 2) with earlier predictions based on the statistical relationship between fractional coverage and wind speed and the estimated average Reflectance of individual whitecaps. In the near infrared (860 nm) the remote sensing augmented Spectral Reflectance falls to ;80% of its value in the visible.
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Spectral Reflectance of whitecaps their contribution to water leaving radiance
Journal of Geophysical Research, 2000Co-Authors: Karl D. Moore, Kenneth J. Voss, Howard R. GordonAbstract:A radiometric system, deployed from a ship, is used to measure directly the influence of the presence of breaking waves (whitecaps) on the upwelling radiance above the sea surface. Estimates of their remote sensing augmented Spectral Reflectance, i.e., the temporally averaged or spatially averaged increase in the ocean's Reflectance over and above the Reflectance in the absence of breaking waves, are provided from measurements in the tropical Pacific. The accuracy of these estimates is dependent on their ability to determine radiometrically the background Reflectance of the water. In the visible the remote sensing augmented Spectral Reflectance of whitecaps measured in the open ocean was found to be essentially independent of wavelength and in the range 0.001- 0.002 for wind speeds of 9 -12 m s 21 . This is in reasonably good agreement (within a factor of 2) with earlier predictions based on the statistical relationship between fractional coverage and wind speed and the estimated average Reflectance of individual whitecaps. In the near infrared (860 nm) the remote sensing augmented Spectral Reflectance falls to ;80% of its value in the visible.
Karl D. Moore - One of the best experts on this subject based on the ideXlab platform.
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Spectral Reflectance of whitecaps: Their contribution to water‐leaving radiance
Journal of Geophysical Research: Oceans, 2000Co-Authors: Karl D. Moore, Kenneth J. Voss, Howard R. GordonAbstract:A radiometric system, deployed from a ship, is used to measure directly the influence of the presence of breaking waves (whitecaps) on the upwelling radiance above the sea surface. Estimates of their remote sensing augmented Spectral Reflectance, i.e., the temporally averaged or spatially averaged increase in the ocean's Reflectance over and above the Reflectance in the absence of breaking waves, are provided from measurements in the tropical Pacific. The accuracy of these estimates is dependent on their ability to determine radiometrically the background Reflectance of the water. In the visible the remote sensing augmented Spectral Reflectance of whitecaps measured in the open ocean was found to be essentially independent of wavelength and in the range 0.001- 0.002 for wind speeds of 9 -12 m s 21 . This is in reasonably good agreement (within a factor of 2) with earlier predictions based on the statistical relationship between fractional coverage and wind speed and the estimated average Reflectance of individual whitecaps. In the near infrared (860 nm) the remote sensing augmented Spectral Reflectance falls to ;80% of its value in the visible.
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Spectral Reflectance of whitecaps their contribution to water leaving radiance
Journal of Geophysical Research, 2000Co-Authors: Karl D. Moore, Kenneth J. Voss, Howard R. GordonAbstract:A radiometric system, deployed from a ship, is used to measure directly the influence of the presence of breaking waves (whitecaps) on the upwelling radiance above the sea surface. Estimates of their remote sensing augmented Spectral Reflectance, i.e., the temporally averaged or spatially averaged increase in the ocean's Reflectance over and above the Reflectance in the absence of breaking waves, are provided from measurements in the tropical Pacific. The accuracy of these estimates is dependent on their ability to determine radiometrically the background Reflectance of the water. In the visible the remote sensing augmented Spectral Reflectance of whitecaps measured in the open ocean was found to be essentially independent of wavelength and in the range 0.001- 0.002 for wind speeds of 9 -12 m s 21 . This is in reasonably good agreement (within a factor of 2) with earlier predictions based on the statistical relationship between fractional coverage and wind speed and the estimated average Reflectance of individual whitecaps. In the near infrared (860 nm) the remote sensing augmented Spectral Reflectance falls to ;80% of its value in the visible.
Anand Sirohi - One of the best experts on this subject based on the ideXlab platform.
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Spectral Reflectance Properties of Different Types of Built-Up Surfaces
Journal of Aerospace Engineering, 1995Co-Authors: Ramesh P. Singh, Anand SirohiAbstract:The Spectral Reflectance properties of features present on the Earth's surface play an important role in the interpretation and analysis of remote sensing data. Usually the surface materials and objects are characterized by their Spectral Reflectance properties, in optical remote sensing. This paper presents the results obtained from the ground-truth Spectral Reflectance measurements in the 450–900 nm wavelength range (i.e., in the visible and near-infrared wavelengths) for various built-up surfaces. These Reflectance measurements are taken by using a multiband ground-truth radiometer, which gives satellite-simulated Spectral Reflectance data. The Spectral Reflectance data are collected over brick, mud and bituminous roads and bituminous airstrip surfaces, which are considered representative of different types of built-up surfaces in this investigation. The use of the Reflectance properties of various types of built-up surfaces are discussed in the mapping, planning, and maintenance of these surfaces usin...
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Spectral Reflectance properties of different types of soil surfaces
ISPRS Journal of Photogrammetry and Remote Sensing, 1994Co-Authors: Ramesh P. Singh, Anand SirohiAbstract:Abstract The knowledge of Spectral Reflectance characteristics of earth materials is important in the development of remote sensing technology, and in the analysis and interpretation of remotely sensed data. In the present paper, we have shown the Spectral Reflectance characteristics of different types of Indian soils in the wavelength range of 450–850 nm. The results have been discussed for the classification of different types of soil surfaces, and for monitoring and assessing the state of soils, using remote sensing data.
Kenneth J. Voss - One of the best experts on this subject based on the ideXlab platform.
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Spectral Reflectance of whitecaps: Their contribution to water‐leaving radiance
Journal of Geophysical Research: Oceans, 2000Co-Authors: Karl D. Moore, Kenneth J. Voss, Howard R. GordonAbstract:A radiometric system, deployed from a ship, is used to measure directly the influence of the presence of breaking waves (whitecaps) on the upwelling radiance above the sea surface. Estimates of their remote sensing augmented Spectral Reflectance, i.e., the temporally averaged or spatially averaged increase in the ocean's Reflectance over and above the Reflectance in the absence of breaking waves, are provided from measurements in the tropical Pacific. The accuracy of these estimates is dependent on their ability to determine radiometrically the background Reflectance of the water. In the visible the remote sensing augmented Spectral Reflectance of whitecaps measured in the open ocean was found to be essentially independent of wavelength and in the range 0.001- 0.002 for wind speeds of 9 -12 m s 21 . This is in reasonably good agreement (within a factor of 2) with earlier predictions based on the statistical relationship between fractional coverage and wind speed and the estimated average Reflectance of individual whitecaps. In the near infrared (860 nm) the remote sensing augmented Spectral Reflectance falls to ;80% of its value in the visible.
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Spectral Reflectance of whitecaps their contribution to water leaving radiance
Journal of Geophysical Research, 2000Co-Authors: Karl D. Moore, Kenneth J. Voss, Howard R. GordonAbstract:A radiometric system, deployed from a ship, is used to measure directly the influence of the presence of breaking waves (whitecaps) on the upwelling radiance above the sea surface. Estimates of their remote sensing augmented Spectral Reflectance, i.e., the temporally averaged or spatially averaged increase in the ocean's Reflectance over and above the Reflectance in the absence of breaking waves, are provided from measurements in the tropical Pacific. The accuracy of these estimates is dependent on their ability to determine radiometrically the background Reflectance of the water. In the visible the remote sensing augmented Spectral Reflectance of whitecaps measured in the open ocean was found to be essentially independent of wavelength and in the range 0.001- 0.002 for wind speeds of 9 -12 m s 21 . This is in reasonably good agreement (within a factor of 2) with earlier predictions based on the statistical relationship between fractional coverage and wind speed and the estimated average Reflectance of individual whitecaps. In the near infrared (860 nm) the remote sensing augmented Spectral Reflectance falls to ;80% of its value in the visible.
Ramesh P. Singh - One of the best experts on this subject based on the ideXlab platform.
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Spectral Reflectance Properties of Different Types of Built-Up Surfaces
Journal of Aerospace Engineering, 1995Co-Authors: Ramesh P. Singh, Anand SirohiAbstract:The Spectral Reflectance properties of features present on the Earth's surface play an important role in the interpretation and analysis of remote sensing data. Usually the surface materials and objects are characterized by their Spectral Reflectance properties, in optical remote sensing. This paper presents the results obtained from the ground-truth Spectral Reflectance measurements in the 450–900 nm wavelength range (i.e., in the visible and near-infrared wavelengths) for various built-up surfaces. These Reflectance measurements are taken by using a multiband ground-truth radiometer, which gives satellite-simulated Spectral Reflectance data. The Spectral Reflectance data are collected over brick, mud and bituminous roads and bituminous airstrip surfaces, which are considered representative of different types of built-up surfaces in this investigation. The use of the Reflectance properties of various types of built-up surfaces are discussed in the mapping, planning, and maintenance of these surfaces usin...
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Spectral Reflectance properties of different types of soil surfaces
ISPRS Journal of Photogrammetry and Remote Sensing, 1994Co-Authors: Ramesh P. Singh, Anand SirohiAbstract:Abstract The knowledge of Spectral Reflectance characteristics of earth materials is important in the development of remote sensing technology, and in the analysis and interpretation of remotely sensed data. In the present paper, we have shown the Spectral Reflectance characteristics of different types of Indian soils in the wavelength range of 450–850 nm. The results have been discussed for the classification of different types of soil surfaces, and for monitoring and assessing the state of soils, using remote sensing data.
