Results 151 to 160 of about 365 (171)
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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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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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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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CYGNSS Ocean Altimetry: A Status Report
2022Comunicación expuesta online en el CYGNSS Science Team Summer Meeting celebrado del 27 al 29 de julio de ...
Shum, C.K. +13 more
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Pan-tropical soil moisture mapping based on a three-layer model from CYGNSS GNSS-R data
Remote Sensing of Environment, 2020Qingyun Yan +2 more
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