Results 171 to 180 of about 843 (193)
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Ocean Surface Altimetry with CyGNSS
2017CyGNSS is a constellation of 8 small satellites launched in December 2016 that carries the Surrey Satellite Technologies (SSTL) SGR-ReSI GNSS Reflections (GNSS-R) receiver. Developed as the primary science instrument for CyGNSS, the SGR-ReSI receiver performs real time onboard navigation and generates delay-Doppler correlation maps for Earth reflected ...
Jake, Mashburn +4 more
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Towards An Ocean Altimetry Product Using Cygnss
IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019This paper presents recent work being done to produce a new GNSS Reflectometry (GNSS-R) ocean altimetry product using data from NASA’s CYGNSS Mission, a constellation of 8 small satellites that measure reflected GPS signals off of the surface of the ocean.
Eric Loria +5 more
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Monitoring GPS Eirp for Cygnss Level 1 Calibration
IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium, 2020The effective isotropic radiated power (EIRP) of the Global Positioning System (GPS) determines the power incident on the Earth surface. It is critical to the CYGNSS mission's Level 1 calibration of normalized bistatic radar cross section (NBRCS). This paper reports a dynamic EIRP calibration algorithm that uses the CYGNSS direct signal to correct the ...
Tianlin Wang +5 more
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Sensitivity of CYGNSS-derived soil moisture to global precipitation
IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium, 2020In this paper, the sensitivity of Cyclone Global Navigation Satellite System (CYGNSS) data to precipitation is investigated. First, the soil moisture (SM) is estimated from the CYGNSS and Soil Moisture Active Passive (SMAP) data based on a three-layer model.
Qingyun Yan +3 more
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An Overview of NOAA CYGNSS Wind Product Version 1.0
IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium, 2020In November 2019, the Ocean Surface Winds Team at NOAA-NESDIS-STAR released to the public their first version of sea surface winds for the Cyclone Global Navigation Satellite System (v1.0). The reported winds are provided on a 25km grid along each track. A boxcar averaging step is included in order to remove unwanted noise in the signal.
Faozi Saïd +4 more
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Simulation Study of Cygnss Observability of Dynamic Inundation Events
IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium, 2020The Cyclone Global Navigation Satellite System (CYGNSS) has recently shown exciting potential for GNSS reflectometry (GNSS-R) to resolve small-scale and dynamic hydrological features over land (such as rivers, lakes, wetlands, and urban flooding), even when obstructed by dense vegetation.
Brandi Downs +4 more
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Global Soil Moisture Estimation Using CYGNSS Data
IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium, 2020In this paper, an approach for estimating soil moisture (SM) from Cyclone Global Navigation Satellite System (CYGNSS) data is developed. Here, a three-layer model of air, vegetation cover, and soil is proposed. In application, the surface reflectivity along with its statistics are derived from the CYGNSS data and the ancillary vegetation opacity data ...
Qingyun Yan +3 more
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Science Impacts of the NASA CYGNSS Mission
IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium, 2022Christopher Ruf +4 more
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Analysis of Wetland Extent Retrieval Accuracy Using Cygnss
IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019Spaceborne GNSS Reflectometry (GNSS-R) measurements have shown strong coherent scattering over inland waters. It has been recognized that GNSS-R could be utilized for monitoring the global surface water distribution by making dynamic maps of wetlands as well as rapid response to flood events.
Eric Loria +6 more
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Investigations into CYGNSS-Based Soil Moisture Retrieval Algorithms
IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019NASA’s Cyclone Global Navigation Satellite System (CYGNSS) receives the forward scattered L-band GNSS signals between ±37° latitudes. The received signals over land are previously shown to be highly sensitive to surface soil moisture (SM). Assuming coherent reflections over land, the CYGNSS bistatic radars can provide a spatial resolution of around 7 ×
Orhan Eroglu +3 more
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