Results 191 to 200 of about 4,400 (213)
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Sea-State Determination Using GNSS-R Data
IEEE Geoscience and Remote Sensing Letters, 2010Q1
Marchan-Hernandez, J. F. +7 more
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Cryospheric Sensing Using GNSS-R
2013Snow and ice on the land are important components of climate systems and a critical storage component in the hydrologic cycle as well. However, in situ observations of snow distribution are sparse, and remotely sensed products are imprecise and only available at a coarse spatial scale.
Shuanggen Jin +2 more
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Delay super resolution for GNSS-R
2009 IEEE International Geoscience and Remote Sensing Symposium, 2009Global Navigation Satellite System Reflectometry (GNSS-R) is a new approach for earth observation using signals of opportunity in a bistatic configuration. The system, in the configuration of interest, exploits the 10 bits PN sequence of the GPS system to generate Delay/Doppler maps that are useful for monitoring the sea state. One of the open problems
Maria Paola Clarizia +4 more
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Oil slicks detection using GNSS-R
2011 IEEE International Geoscience and Remote Sensing Symposium, 2011Global Navigation Satellite Systems' signals reflectometry, originally envisioned for ocean altimetry, has become a promising remote sensing technique. Among other applications, it has been proposed for ocean scatterometry for sea state determination. Most of the proposed scatterometry techniques have as a product an average sea state descriptor over ...
E. Valencia +5 more
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Experimental study for GNSS-R polarimetry
2011 IEEE International Geoscience and Remote Sensing Symposium, 2011GNSS reflectomtry (GNSS-R) is a remote sensing methodology in which the GNSS satellites are applied for signal transmitters. In GNSS-R studies, an interference strategy is popular. The interference method uses interactions between direct signals from the GNSS satellites and reflected signals by sensing targets.
Ryuta Kato +2 more
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Spaceborne GNSS-R Minimum Variance Wind Speed Estimator
IEEE Transactions on Geoscience and Remote Sensing, 2014A Minimum Variance (MV) wind speed estimator for Global Navigation Satellite System-Reflectometry (GNSS-R) is presented. The MV estimator is a composite of wind estimates obtained from five different observables derived from GNSS-R Delay-Doppler Maps (DDMs).
Clarizia, Maria Paola +3 more
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Forest biomass monitoring with GNSS-R: Theoretical simulations
Advances in Space Research, 2011Abstract GNSS-Reflectometry (GNSS-R) is a remote sensing technique which performs bistatic measurements of the earth surface scattering. This paper presents some theoretical simulations of the specular scattering coefficient of a forested area, with the aim of demonstrating the potentiality of GNSS-R in monitoring forest biomass.
FERRAZZOLI, PAOLO +3 more
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A GNSS-R Geophysical Model Function
2020A machine learning technique is implemented for retrieving space-borne Global Navigation Satellite System Reflectometry (GNSS-R) wind speed. Conventional approaches commonly fit a function in a predefined form to matchup data in a least-squares (LS) sense, mapping GNSS-R observations to wind speed. In this study, a feedforward neural network is trained
Asgarimehr, Milad (Dr.-Ing.) +4 more
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Ocean Remote Sensing Using GNSS-R
2013This chapter introduces the essential oceanic application of the GNSS reflectometry, e.g., sea surface altimetry and surface roughness. Other potential areas of interest for oceanography and marine applications are the retrievals of dielectric properties of the surface (related to temperature and salinity) and ship detection. Although the ratio between
Shuanggen Jin +2 more
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The GNSS-R Cygnss Mission: an Update
IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019The CYGNSS constellation was successfully launched on 15 Dec 2016 and has been operating continuously in science data-taking mode since March 2017. Updates will be presented on the mission status, calibration and validation activities for its science data products, and recent scientific applications of the measurements.
Chris Ruf +4 more
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