Demonstrating a low-cost sustainable passive microwave sensor architecture: The Compact Ocean Wind Vector Radiometer Mission

2016 ◽  
Author(s):  
Shannon Brown ◽  
Paolo Focardi ◽  
Amarit Kitiyakara ◽  
Frank Maiwald ◽  
Lance Milligan ◽  
...  
Keyword(s):  
Low Cost ◽  
Passive Microwave ◽  
Wind Vector ◽  
Microwave Sensor ◽  
Ocean Wind

scholarly journals Machine Learning Approach to Classify Precipitation Type from A Passive Microwave Sensor

2020 ◽  
Author(s):  
Spandan Das ◽  
Jie Gong ◽  
Chenxi Wang ◽  
Dong Wu ◽  
Stephen Munchak ◽  
...  
Keyword(s):  
Machine Learning ◽  
Passive Microwave ◽  
Learning Approach ◽  
Microwave Sensor ◽  
Machine Learning Approach ◽  
Precipitation Type

scholarly journals Substrate-Integrated Waveguide Microwave Sensor for Water-in-Diesel Fuel Applications

2021 ◽  
Vol 11 (21) ◽  
pp. 10454
Author(s):  
Antonella Maria Loconsole ◽  
Vito Vincenzo Francione ◽  
Vincenza Portosi ◽  
Onofrio Losito ◽  
Michele Catalano ◽  
...  
Keyword(s):  
Diesel Fuel ◽  
Low Cost ◽  
Water Concentration ◽  
Wide Band ◽  
Coefficient Of Determination ◽  
Substrate Integrated Waveguide ◽  
Scattering Parameter ◽  
Low Profile ◽  
Waveguiding Structure ◽  
Microwave Sensor

A water-in-diesel microwave sensor based on a substrate integrated waveguide (SIW) microwave applicator is designed and characterized in this study. The interaction between the microwave electromagnetic field and the diesel fuel contaminated with small concentrations of water is obtained via suitable radiating slots placed on the top of an SIW waveguiding structure. The SIW applicator working frequency is chosen by observing the behavior of the complex dielectric permittivity of the fuel–water blend based on a preliminary wide band investigation. The performances of the SIW microwave sensor are evaluated in terms of scattering parameter modulus |S21| as a function of the water concentration in ppm. The best sensitivity Δ|S21|Δρ=1.42 mdB/ppm is obtained at a frequency of f=9.76 GHz, with a coefficient of determination R2=0.94. The sensor is low-cost, low profile and ensures a good sensitivity for constant and real-time monitoring.

scholarly journals Measurement of ocean wind vector by an airborne, imaging polarimetric radiometer

Radio Science ◽  
1998 ◽  
Vol 33 (3) ◽  
pp. 669-675 ◽  
Author(s):  
Niels Skou ◽  
Brian Laursen
Keyword(s):  
Wind Vector ◽  
Airborne Imaging ◽  
Ocean Wind

The Global Environmental Monitoring Systems (GEMS) Constellation of Passive Microwave Satellite

2020 ◽  
Author(s):  
Gregory Porter ◽  
Richard Delf ◽  
Albin Gasiewski ◽  
Michael Hurowitz ◽  
David Gallaher ◽  
...  
Keyword(s):  
Environmental Monitoring ◽  
Imaging System ◽  
Low Cost ◽  
Microwave Radiometer ◽  
Atmospheric Precipitation ◽  
Passive Microwave ◽  
State Variables ◽  
Validation Data ◽  
Global Environmental ◽  
Environmental Monitoring System

<p>The recent successful launch of the Orbital Micro Systems GEMS-1 IOD (Global Environmental Monitoring System In-orbit Demonstrator) satellite carrying the University of Colorado’s MiniRad 118-GHz imager/sounder instrument provides the basis for a new means of observing atmospheric precipitation, temperature, and related state variables. GEMS-1 supports an 8-channel passive microwave radiometer operating at the 118.7503 GHz oxygen resonance with cross-track scanning imaging system providing cross- and along track Nyquist sampling at 17 km 3dB spatial resolution. It is precisely calibrated using cold space views along with and an on board reference, yielding the first low-cost commercial weather satellite imagery. GEMS is the first of a constellation of approximately 50 such satellites of progressively improving resolution and spectral coverage that will collectively provide Nyquist time-sampling of precipitation and related weather variables on a global basis, and using microwave frequencies will provide such information probing through most cloud cover. Presented will be first light imagery and on-orbit performance data from the GEMS-1 mission, including validation data on the satellite brightness temperatures. Products will include calibrated multispectral imagery, temperature profiles, retrieved rain rate, and precipitation cell top altitude. The expansion of the GEMS-1 mission to the full GEMS constellation will be outlined.</p>

scholarly journals CFOSAT: a new Chinese-French satellite for joint observations of ocean wind vector and directional spectra of ocean waves

2016 ◽  
Author(s):  
D. Hauser ◽  
C. Tison ◽  
T. Amiot ◽  
L. Delaye ◽  
A. Mouche ◽  
...  
Keyword(s):  
Ocean Waves ◽  
Wind Vector ◽  
Ocean Wind
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