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Microwave brightness temperature of snow: Observations and simulations

2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2016
The brightness temperature of snow-covered terrain was monitored from January through April 1985 using tower-based radiometers operating at 1, 16.5, and 37 GHz (vertical and horizontal polarization) in southern Finland. Ground truth data on snow, soil and weather were collected. Layered dielectric, extinction and wetness information on snow at the test
Lemmetyinen, Juha, Hallikainen, Martti
openaire   +4 more sources

Brightness temperature of extended targets

ICMMT'98. 1998 International Conference on Microwave and Millimeter Wave Technology. Proceedings (Cat. No.98EX106), 2002
A method of establishing formulas for calculating brightness temperature of extended targets at microwave frequency is introduced in this paper. The formulas are obtained through the statistical process of a large amount of measured data. The formulas for concrete road, asphalt road, and crushed stone are presented, which are established by this method.
null Li Qingxia   +3 more
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Calibration of RapidScat Brightness Temperature

2018 IEEE 15th Specialist Meeting on Microwave Radiometry and Remote Sensing of the Environment (MicroRad), 2018
NASA RapidScat is the first satellite scatterometer that flown in non-Sun-synchronous orbit. Its unique orbit enabled collocated measurements with multiple satellite remote-sensing instruments that mostly fly in Sun-synchronous orbits. RapidScat's primary mission was retrieval of global ocean wind vectors from normalized radar backscatter measurements.
Ali Al-Sabbagh, Ruaa Alsabah, Jasko Zec
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Brightness temperature ratios: analysis of typical behaviour

1995 International Geoscience and Remote Sensing Symposium, IGARSS '95. Quantitative Remote Sensing for Science and Applications, 2002
In the framework of the Olympus and Italsat satellites experiment, the Politecnico di Milano carried out a campaign aiming to measure brightness temperatures at different frequencies and to estimate some quantities, as water vapour (V), liquid water integrated content (L) and atmospheric attenuation, related to absorption phenomena of interest for ...
Bosisio AV, Capsoni C
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Effect of Color Temperature on Apparent Brightness

Journal of the Optical Society of America, 1954
Two screens viewed side by side were illuminated by radiations approximating those of blackbodies of different color temperatures and matched in brightness at photopic levels. A group of 73 observers found that less light of the higher color temperature was needed to produce equality of brightness than would be required by the CIE normal observer.
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Radio Observations of the Distribution of Chromospheric Brightness Temperature

Nature, 1970
Abstract : Radio observations of the solar eclipse of 7 March 1970 were made at several observatories in a cooperative effort, covering a wavelength range of 2.1 mm to 2 cm. An analysis of the radio observations is given. (Author)
M, Simon   +4 more
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HIRAD Brightness Temperature Image Geolocation Validation

IEEE Geoscience and Remote Sensing Letters, 2017
The Hurricane Imaging Radiometer (HIRAD) is an airborne microwave radiometer developed to provide wide-swath hurricane surface wind speed and rain rate imagery for scientific research. This letter presents a geometric evaluation of the brightness temperature (Tb) images produced by HIRAD for high-contrast land/water targets.
Saleem Sahawneh   +3 more
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Salinity retrieval from SMOS brightness temperatures

IGARSS 2003. 2003 IEEE International Geoscience and Remote Sensing Symposium. Proceedings (IEEE Cat. No.03CH37477), 2004
The neural network methodology is applied to the sea surface salinity retrieval from SMOS brightness temperatures. The direct model for simulating the brightness temperatures is the Small Slope Approximation model (SSA). Different cases are compared to analyze the retrieval quality.
Sylvie Labroue   +3 more
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Covariance Statistics of Polarimetric Brightness Temperature Measurements

IEEE Transactions on Geoscience and Remote Sensing, 2008
All microwave radiometer measurements of brightness temperature (T B) include an additive noise component. With conventional linearly polarized radiometers, the variance of the noise is a well-understood function of the system temperature, the predetection bandwidth, and the integration time according to the so-called ldquoradiometer uncertainty ...
Jinzheng Peng, Christopher Ruf
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Modeling the TOA Brightness Temperature on the SWIR-Sensors

IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
Creation of maps of surface temperature distribution based on satellite imagery data is becoming increasingly important throughout the past decade and is relevant for a number of studies. This paper presents the values of the coefficients and expressions for calculating the brightness temperature on the SWIR sensors of Landsat-8, Sentinel-2A/B and ...
Igor N. Garkusha   +1 more
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