Results 251 to 260 of about 3,051,692 (290)

Measuring aerosol optical thickness with a helicopter-based sunphotometer

IEEE Transactions on Geoscience and Remote Sensing, 2000
The use of airborne sunphotometers and radiometrically calibrated sensors with fixed wing remote sensing platforms is a reliable method for obtaining atmospherically corrected surface reflectance. The authors describe a variation of such an instrument for use with helicopters.
Charles L. Walthall, Rangasayi N. Halthore, Sara E. Loechel, Greg C. Elman, Brian L. Markham   +4 more
openaire   +2 more sources

Aerosol Optical Thickness Measurement with Elevation-Scanning Lidar

Journal of Atmospheric and Oceanic Technology, 2015
AbstractHigh-accuracy measurement of aerosol optical thickness (AOT) τa with an elevation-scanning lidar is demonstrated and the results are compared with a collocated Cimel 318 sun photometer. Linear regression of the time-coincident data from a 2-week measurement campaign with the two instruments is found to be τalidar = (1.00 ± 0.17)τaphot + (0.025 ±
Pavel I. Ionov, Andrew K. Mollner
openaire   +1 more source

Stratospheric aerosol optical thickness measurements at 35°S

Nature, 1979
IN the stratosphere the attenuation in the radiance of a light beam is predominantly due to scattering by air molecules and aerosols, and absorption by ozone. For the height range 10–30 km, aerosols can account for at least 60% of the attenuation at 700 nm (ref. 1) and are responsible for most of the long and short term variations2.
S. A. YOUNG, W. G. ELFORD
openaire   +1 more source

The aerosol optical thickness retrieval from GOME spectra

IGARSS'97. 1997 IEEE International Geoscience and Remote Sensing Symposium Proceedings. Remote Sensing - A Scientific Vision for Sustainable Development, 2002
A prototype processor for the aerosol optical thickness retrieval and aerosol classification starting from GOME data has been developed. The aerosol classification is made choosing the minimum among the least squares residuals computed for different aerosol classes. For each pixel the output of processor gives the aerosol optical thickness, the aerosol
A. Bartoloni, M. Mochi, C. Serafini, M. Cervino, R. Guzzi, P. Torricella   +5 more
openaire   +1 more source

Spatial aspects of multi-sensor data fusion: Aerosol optical thickness

2007 IEEE International Geoscience and Remote Sensing Symposium, 2007
The Goddard Earth Sciences Data and Information Services Center (GES DISC) investigated the applicability and limitations of combining multi-sensor data through data fusion, to increase the usefulness of the multitude of NASA remote sensing data sets, and as part of a larger effort to integrate this capability in the GES-DISC Interactive Online ...
Gregory Leptoukh, Viktor Zubko, Arun Gopalan   +2 more
openaire   +2 more sources

Using a new aerosol relative optical thickness concept to identify aerosol particle species

Atmospheric Research, 2014
We developed an aerosol relative optical thickness concept and then established an effective aerosol particle recognition model by analyzing variations in aerosol optical thicknesses in Beijing between 2001 and 2006. The accuracy of the model was verified using inverse calculations.
Yuan Yuan, Yong Shuai, Xiao-Wei Li, Bin Liu, He-Ping Tan   +4 more
openaire   +1 more source

Aerosol optical thickness and atmospheric path radiance

Journal of Geophysical Research: Atmospheres, 1993
Spaceborne remote sensing of aerosol particles, evaluation of the climatic effects of aerosol, and atmospheric corrections of spaceborne imagery of the Earth's surface are based on an assumed relationship between the spectral aerosol optical thickness and the spectral path radiance.
openaire   +1 more source

Preliminary evaluation of S‐NPP VIIRS aerosol optical thickness

Journal of Geophysical Research: Atmospheres, 2014
AbstractThe Visible Infrared Imaging Radiometer Suite (VIIRS) is the next‐generation polar‐orbiting operational environmental sensor with a capability for global aerosol observations. The VIIRS aerosol Environmental Data Record (EDR) is expected to continue the decade‐long successful multispectral aerosol retrieval from the NASA's Earth Observing ...
Hongqing Liu, Lorraine A. Remer, Jingfeng Huang, Ho‐Chun Huang, Shobha Kondragunta, Istvan Laszlo, Min Oo, John M Jackson   +7 more
openaire   +1 more source

Aerosol optical thickness retrieval from Sun photometer measurements

Proceedings of IGARSS '94 - 1994 IEEE International Geoscience and Remote Sensing Symposium, 2002
Aerosol optical thickness (AOT) is usually retrieved from Sun photometer (SP) signal in three steps: (1) SP calibration (determination of "zero signal" I/sub 0/); (2) retrieval of the total optical thickness; (3) removal of the molecular scattering and absorption.
A. Ignatov, I. Dergileva, Yu. Ratner, S. Sakerin, D. Kabanov   +4 more
openaire   +1 more source

Extension and statistical analysis of the GACP aerosol optical thickness record

Atmospheric Research, 2015
The primary product of the Global Aerosol Climatology Project (GACP) is a continuous record of the aerosol optical thickness (AOT) over the oceans. It is based on channel-1 and -2 radiance data from the Advanced Very High Resolution Radiometer (AVHRR) instruments flown on successive National Oceanic and Atmospheric Administration (NOAA) platforms.
Igor V. Geogdzhayev, Michael I. Mishchenko, Jing Li, William B. Rossow, Li Liu, Brian Cairns   +5 more
openaire   +1 more source