We have conducted the first extensive field test of two new methods to retrieve optical properties for overhead clouds that range from patchy to overcast. The methods use measurements of zenith radiance at 673 and 870 nm wavelengths and require the presence of green vegetation in the surrounding area. The test was conducted at the Atmospheric Radiation Measurement Program Oklahoma site during September–November 2004. These methods work because at 673 nm (red) and 870 nm (near infrared (NIR)), clouds have nearly identical optical properties, while vegetated surfaces reflect quite differently. The first method, dubbed REDvsNIR, retrieves not only cloud optical depth τ but also radiative cloud fraction. Because of the 1-s time resolution of ou...
Many algorithms exist to invert airborne imagery from units of either radiance or sensor specific di...
The ground-based Atmospheric Radiation Measurement Program (ARM) and NASA Aerosol Robotic Network (A...
A comparison is made between remote sensing data measured over water at altitudes ranging from 30 m ...
In a previous paper, we discovered a surprising spectrally-invariant relationship in shortwave spect...
copyrighted by American Geophysical UnionIt has been hypothesized that continuous ground-based remot...
Ground-based network of cloud measurements is presently limited and there exists uncertainty in the ...
A method for retrieving cloud optical depth (τc) using a UCSD developed ground-based sky imager (USI...
A method for retrieving cloud optical depth (τc) using a UCSD developed ground-based sky imager (USI...
A method for retrieving cloud optical depth ( τ c ) using a UCSD developed ground-based Sky Imager (...
The spectral-difference algorithm of Barker and Marshak for inferring optical depth τ of broken clou...
A method for retrieving cloud optical depth ( τ c ) using a UCSD developed ground-based Sky Imager (...
This dissertation reports on three different yet related topics in light scattering computation, rad...
High-resolution infrared radiance spectra obtained from near nadir observations provide atmospheric,...
Space-based quantitative passive optical remote sensing of the Earth’s surface typically involves th...
AbstractClouds are important factors in weather and climate change. Cloud amount, type and height ar...
Many algorithms exist to invert airborne imagery from units of either radiance or sensor specific di...
The ground-based Atmospheric Radiation Measurement Program (ARM) and NASA Aerosol Robotic Network (A...
A comparison is made between remote sensing data measured over water at altitudes ranging from 30 m ...
In a previous paper, we discovered a surprising spectrally-invariant relationship in shortwave spect...
copyrighted by American Geophysical UnionIt has been hypothesized that continuous ground-based remot...
Ground-based network of cloud measurements is presently limited and there exists uncertainty in the ...
A method for retrieving cloud optical depth (τc) using a UCSD developed ground-based sky imager (USI...
A method for retrieving cloud optical depth (τc) using a UCSD developed ground-based sky imager (USI...
A method for retrieving cloud optical depth ( τ c ) using a UCSD developed ground-based Sky Imager (...
The spectral-difference algorithm of Barker and Marshak for inferring optical depth τ of broken clou...
A method for retrieving cloud optical depth ( τ c ) using a UCSD developed ground-based Sky Imager (...
This dissertation reports on three different yet related topics in light scattering computation, rad...
High-resolution infrared radiance spectra obtained from near nadir observations provide atmospheric,...
Space-based quantitative passive optical remote sensing of the Earth’s surface typically involves th...
AbstractClouds are important factors in weather and climate change. Cloud amount, type and height ar...
Many algorithms exist to invert airborne imagery from units of either radiance or sensor specific di...
The ground-based Atmospheric Radiation Measurement Program (ARM) and NASA Aerosol Robotic Network (A...
A comparison is made between remote sensing data measured over water at altitudes ranging from 30 m ...