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An Adaptive Window for GNSS-R Stare Processing

IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
Using spaceborne platforms, stare processing of Delay Doppler Maps (DDM) is a powerful technique that enables up to 20 contiguous DDMs to be combined to estimate the sea state at a single point on the ocean surface. This technique avoids over 100km of blurring in the spatial domain that would occur if the specular window in these contiguous DDMs were ...
Benjamin J. Southwell   +1 more
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Oil slicks detection using GNSS-R

2011 IEEE International Geoscience and Remote Sensing Symposium, 2011
Global 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 ...
Enric Valencia   +5 more
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Wetland GNSS-R measurements from aircraft

2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2017
Characterizing, understanding, and projecting changes in atmospheric methane and terrestrial water storage require information about wetland dynamics, which remains a major gap in existing knowledge. Despite recent advances in satellite monitoring techniques, dynamic wetland mapping needs to be improved for more accurate global inventories and also to ...
Estel Cardellach   +8 more
openaire   +2 more sources

Study of accurate ocean-altimetry with GNSS-R

2013 IEEE International Geoscience and Remote Sensing Symposium - IGARSS, 2013
The paper explored a method to obtain accurate lake surface heights using Global Navigation Satellite System (GNSS) Coarse/Acquisition Code (C/A)reflected from the ocean surface. The method is referred to as Global Navigation Satellite System-Reflection (GNSS-R) (C/A) code altimetry.
Yun Zhang 0012   +5 more
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Theoretical study on GNSS-R vegetation biomass

2012 IEEE International Geoscience and Remote Sensing Symposium, 2012
GNSS-R(Global Navigation Satellite System-Reflectometry) remote sensing has been attracted much more attention during the past decade. As for land scenario, soil moisture and vegetation properties are the research priorities. This paper focuses on the initial study of GNSSR vegetation biomass using the already developed microwave scattering model Bi ...
Xuerui Wu, Ying Li, Jin Xu
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Sea-State Determination Using GNSS-R Data

IEEE Geoscience and Remote Sensing Letters, 2010
Q1
Juan Fernando Marchan-Hernandez   +7 more
openaire   +2 more sources

Analysis of GNSS-R Coverage by a Regional Aircraft Fleet

IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium, 2020
Airborne GNSS-R instrument systems are typically only utilized for a limited number of aircraft flights to perform experiments, to test new instruments, and to collect data over specific targets (e.g. hurricanes). A new system is currently under development entailing the permanent installation of GNSS-R instruments on a commercial fleet of Air New ...
Ryan Linnabary   +4 more
openaire   +1 more source

Considerations on Gnss-R Carrier Phase Altimetry

IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
The European Space Agency has recently studied, assessed or approved GNSS Reflectometry mission concepts based partly or fully on carrier phase observables for altimetry applications. Examples of these are, respectively, the GEROS-ISS experiment on board the International Space Station, the G- TERN Earth Explorer proposal or the PRETTY cubesat mission,
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Cryospheric Sensing Using GNSS-R

2013
Snow 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
openaire   +1 more source

A GNSS-R Geophysical Model Function

2020
A 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
openaire   +1 more source

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