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Atmospheric influences analysis in passive microwave remote sensing

2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2015
Passive microwave remote sensing has all-weather work capabilities, but atmospheric media have different influences on satellite microwave brightness temperature under different atmospheric conditions and environments. In order to clarify atmospheric influences on Advanced Microwave Scanning Radiometer-Earth Observing System (AMSR-E), atmospheric ...
LiJuan Shi   +3 more
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Technical note: Relief effects for passive microwave remote sensing

International Journal of Remote Sensing, 2000
The signal of a microwave radiometer observing a land surface from space is composed of surface and atmospheric contributions, both of which depend on the relief. For proper interpretation of the data these effects should be quantified and, if necessary, taken into account. Relief effects are twofold.
C. Mätzler, A. Standley
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Combined receiver for active and passive microwave remote sensing

2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2017
Existing spaceborne radiometer receivers, particularly below 40GHz, have typically utilized analog direct detection, but recently have been pushing toward heterodyne systems with digital signal processing to deal with the problem of radio frequency interference (RFI).
Chun Sik Chae   +5 more
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Passive microwave remote sensing of the Earth's surface

IEEE Transactions on Antennas and Propagation, 1976
This is a brief review paper on microwave radiometry as a remote sensing tool in geoscientific investigations. Topics covered include basic radiometric principles, radiometer receivers, and applications. This paper is one in a series of mini-reviews sponsored by the Wave Propagation Standards Committee of IEEE and is intended primarily for those ...
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Estimation of Soil Water Conditions Using Passive Microwave Remote Sensing

2016
Estimation of soil water conditions using passive microwave remote ...
Magagi, Ramata   +2 more
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Active and passive microwave remote sensing of boreal forests

Acta Astronautica, 2002
Abstract Novel inversion methods are presented for active and passive satelliteborne microwave remote sensing. The objectives are biomass estimation, forest and land-cover-type recognition in boreal forests. A new adaptive inversion method for active sensors was developed for the forest block-wise stem volume estimation from satelliteborne radar ...
Lauri Kurvonen   +2 more
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Passive Microwave Remote Sensing for Land Applications

2008
Land applications, in particular soil moisture retrieval, have been ham- pered by the lack of low frequency passive microwave observations and the coarse spatial resolution of existing sensors. The next decade could see several improved operational and exploratory missions using new technologies as well as innovative disaggregation and data fusion ...
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Passive microwave remote sensing of the atmosphere and ocean

Proceedings of the Indian Academy of Sciences Section C: Engineering Sciences, 1983
The microwave remote sensing experiments conducted during the last decade using airborne and spaceborne sensors are now evolving as operational spacecraft observation systems. Microwave sounding unit (MUS) onboard TIROS-N regularly provides global atmospheric temperature profile required for numerical weather prediction.
T. A. Hariharan, P. C. Pandey
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Technology for spaceborne passive microwave Earth remote sensing

NTC '91 - National Telesystems Conference Proceedings, 2002
Three technology areas in passive microwave remote sensing are discussed: (1) radiometer calibration and wideband load optimization; (2) electronic polarization basis rotation for polarization sensitive scanning instruments; and (3) large space antennas for precision high spatial resolution radiometric imaging.
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Passive microwave remote sensing of forests: a model investigation

IEEE Transactions on Geoscience and Remote Sensing, 1996
A model, based on the radiative transfer theory and the matrix doubling algorithm, is described and used to compute the emissivity e of forests. According to model simulations, the L-band emissivity trend versus forest biomass is more gradual than that of the backscatter coefficient.
P. Ferrazzoli, L. Guerriero
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