Results 21 to 30 of about 843 (193)
Remote Sensing, 2022 This study examines the impacts of assimilating ocean-surface winds derived from the NASA Cyclone Global Navigation Satellite System (CYGNSS) on improving the short-range numerical simulations and forecasts of landfalling hurricanes using the NCEP ...
Zhaoxia Pu +5 more
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Assessment of Interpolation Errors of CYGNSS Soil Moisture Estimations [PDF]
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 High spatiotemporal soil moisture (SM) is essential for many meteorological, hydrological, and agricultural applications and studies. Spaceborne Global Navigation Satellite System-Reflectometry (GNSS-R) provides a promising opportunity for high ...
Volkan Senyurek +2 more
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An Assessment of CYGNSS Ocean Wind Speed Products
, 2021 <p>Global Navigation Satellite System-Reflectometry (GNSS-R) is an innovative and rapidly developing approach to Earth Observation that makes use of signals of opportunity from Global Navigation Satellite Systems, which have been reflected off the Earth&#8217;s surface.
Hammond, Matthew +4 more
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An Assessment of CyGNSS v3.0 Level 1 Observables over the Ocean [PDF]
Remote Sensing, 2021 Global Navigation Satellite System Reflectometry (GNSS-R) is a rapidly developing Earth observation technology that makes use of signals of opportunity from Global Navigation Satellite Systems that have been reflected off the Earth’s surface. The Cyclone
Matthew Lee Hammond +3 more
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Assessing the Altimetric Measurement from CYGNSS Data
IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018 The Cyclone Global Navigation Satellite System (CYGNSS) mission was designed to study hurricane intensification by measuring wind speeds in tropical cyclones. However, the delay-Doppler maps (DDM) that are produced can be used to estimate the sea surface height (SSH) at the specular reflection point on the ocean surface.
Cinzia Zuffada +11 more
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A Modified Hierarchical Vision Transformer for Soil Moisture Retrieval From CYGNSS Data
Water Resources ResearchThis research introduces a new deep learning (DL) framework, multi‐head self‐attention‐aided vision Transformer (MSA‐ViT), for soil moisture (SM) retrieval using Cyclone Global Navigation Satellite System (CYGNSS) data. We first assess the sensitivity of
Qingyun Yan +4 more
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Remote Sensing, 2023 Spaceborne GNSS-R technology is a new remote sensing method for soil moisture monitoring. Focusing on the significant influence of water on the surface reflectivity of CYGNSS, this paper improved the removal method of water influence according to the ...
Qi Wang +5 more
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Significant Wave Height Estimation from Joint CYGNSS DDMA and LES Observations [PDF]
Sensors, 2021 Shuanggen Jin, Yan Jia, Mingda Ye
exaly +2 more sources
Frontiers in Earth ScienceThis study examines the influence of NASA Cyclone Global Navigation Satellite System (CyGNSS) Level 2-derived 10 m (near-surface) wind speed over the ocean on analyses and forecasts within the NOAA operational Hurricane Analysis and Forecast System (HAFS)
Bachir Annane, Lewis J. Gramer
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Joint Use of Spaceborne Microwave Sensor Data and CYGNSS Data to Observe Tropical Cyclones
Remote Sensing, 2020 The joint use of spaceborne microwave sensor data and Cyclone Global Navigation Satellite System (CYGNSS) data to observe tropical cyclones (TCs) is presented in this paper.
Shiwei Wang, Shuzhu Shi, Binbin Ni
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