Browse a list of published papers that cite data collected by NASA's Cyclone Global Navigation Satellite System (CYGNSS).
| Title | Year Sort ascending | Author | Topic | Dataset |
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| Regional classification and logistic regression modeling for surface freeze/thaw detection on the Qinghai-Tibet Plateau using CYGNSS data | He, Jiaxing, Zheng, Nanshan, Ding, Rui, Liu, Xuexi, Ma, Zhiyong | Reflectance, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Radar Cross-Section, Radar Reflectivity | ||
| Remotely Sensed High-Resolution Soil Moisture and Evapotranspiration: | Huang, Jingyi, Sehgal, Vinit, Alvarez, Laura V., Brocca, Luca, Cai, Shuohao, Cheng, Rui, Cheng, Xinghua, Du, Jinyang, El Masri, Bassil, Endsley, K. Arthur, Fang, Yilin, Hu, Jie, Jampani, Mahesh, Kibria, Md Golam, Koren, Gerbrand, Li, Lingcheng, Liu, Laibao, Mao, Jiafu, Moreno, Hernan A., Rigden, Angela, Shi, Mingjie, Shi, Xiaoying, Wang, Yaoping, Zhang, Xi, Fisher, Joshua B. | Surface Soil Moisture, Brightness Temperature | ||
| Limited evidence that tropical inundation and precipitation powered the 20202022 methane surge | Xiong, Ying, Kort, Eric A., Bloom, A. Anthony, Gerlein-Safdi, Cynthia, Pu, Tianjiao, Bilir, Eren | Precipitation, Rain, Precipitation Amount, Precipitation Rate, Snow, METHANE FLUX, Surface Water Processes/Measurements | ||
| Investigation of the global influence of surface roughness on spaceborne GNSSR observations | Rahmani, Mina, Asgari, Jamal, Asgarimehr, Milad, Wickert, Jens | Land Use/Land Cover Classification, Radar Cross-Section, Radar Reflectivity, Brightness Temperature, Soil Moisture/Water Content | ||
| Measuring river slope using spaceborne GNSS reflectometry: Methodology and first performance assessment | Wang, Yang, Morton, Y. Jade, Minear, J. Toby, Putnam, Alexa, Conrad, Alex, Axelrad, Penina, Nerem, R. Steven, Warnock, April, Ruf, Christopher, Moreira, Daniel Medeiros, Talpe, Matthieu | Rivers/Streams, Surface Water Processes/Measurements, Lakes/Reservoirs, Radar Cross-Section, Radar Reflectivity, SENSOR COUNTS |
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| Multimodal GNSS-R self-supervised learning as a generalist Earth surface | Zhao, Daixin, Heidler, Konrad, Asgarimehr, Milad, Albrecht, Conrad M., Wickert, Jens, Zhu, Xiao Xiang, Mou, Lichao | Radar Cross-Section, Radar Reflectivity | ||
| Ocean Surface Wind Speed Estimation From GNSS-R Data Using Physics-Informed Attention-Aided Convolutional Neural Network | Qiao, Xin, Huang, Weimin | Radar Cross-Section, Radar Reflectivity | ||
| Spaceborne GNSS-R Bistatic Radar Remote Sensing, CYGNSS, and Future Missions | Ruf, Christopher, Gleason, Scott | Soil Moisture/Water Content, Surface Water Processes/Measurements | ||
| Spaceborne GNSS-R soil moisture retrieval from GPS/BDS-3/Galileo satellites | Zhu, Yifan, Guo, Fei, Zhang, Xiaohong | Radar Cross-Section, Radar Reflectivity, SIGMA NAUGHT, Flight Data Logs | ||
| Toward the Exploitation of HydroGNSS Coherent Channel: High Sampling | Peng, Jilun, Cardellach, Estel, Li, Weiqiang, Ribo, Serni, Rius, Antonio | Brightness Temperature, Surface Soil Moisture, Radar Cross-Section, Radar Reflectivity, Wind Direction, Wind Speed, Radar Cross-Section, Radar Reflectivity | ||
| Unraveling the invisible threat of microplastics to Lakshadweep Coral | Praved, P. Hari, Sreeraj, P., Neethu, K.V., Nandan, S. Bijoy, Ravindran, Suraj, Marigoudar, S.R. | MICROPLASTIC CONCENTRATION | ||
| Analytical Assessment of GNSS-R Delay Doppler Map Sensitivity to Land Surface Variables Using a Physics-Based Model | Melebari, Amer, Campbell, James D., Hodges, Erik, Moghaddam, Mahta | Soil Temperature, Soil Moisture/Water Content, Radar Cross-Section, Radar Reflectivity, Brightness Temperature, Surface Soil Moisture | ||
| A Simplified Model for Simulating Complex Signals in GNSS-Reflectometry over Land | Peng, Jilun, Cardellach, Estel, Li, Weiqiang | Brightness Temperature, Surface Soil Moisture, Radar Cross-Section, Radar Reflectivity | ||
| A Method for Estimating and Partitioning the Covariance of Wind Speed Observation Error from GNSS Reflectometry | Powell, C. E., Ruf, C. S. | Radar Cross-Section, Radar Reflectivity | ||
| A fast and efficient method to estimate inland water levels using CYGNSS | Ma, Zhongmin, Zhang, Shuangcheng, Camps, Adriano, Park, Hyuk, Liu, Qi, Tan, Pengyuan, Wang, Changyang | Plant Phenology, Canopy Characteristics, Vegetation Cover, Lidar, Topography, Vegetation Height, Radar Cross-Section, Radar Reflectivity, Terrain Elevation | ||
| Azimuthal Dependence of CYGNSS Winds in Tropical Cyclones | Pascual, Daniel, Ruf, Christopher, Balasubramaniam, Rajeswari | Wind Direction, Wind Speed | ||
| Biomass Estimation with GNSS Reflectometry Using a Deep Learning Retrieval Model | Pilikos, Georgios, Clarizia, Maria Paola, Floury, Nicolas | Canopy Characteristics, SENSOR COUNTS | ||
| Berkeley-RWAWC: A New CYGNSS-Based Watermask Unveils Unique Observations | Pu, Tianjiao, GerleinSafdi, Cynthia, Xiong, Ying, Li, Mengze, Kort, Eric A., Bloom, A. Anthony | Radar Cross-Section, Radar Reflectivity | ||
| Concept and Assessment of the University of Luxembourg Cygnss-Based Soil Moisture Product | Setti, Paulo T., Tabibi, Sajad | Radar Cross-Section, Radar Reflectivity, Wind Direction, Wind Speed | ||
| Comprehensive Analysis of CYGNSS GNSS-R data for Enhanced Soil Moisture Retrieval | Setti, Paulo, Tabibi, Sajad | Radar Cross-Section, Radar Reflectivity, Radar Cross-Section, Radar Reflectivity, Soil Temperature, Soil Moisture/Water Content, SIGMA NAUGHT, Flight Data Logs, Brightness Temperature, Surface Soil Moisture |
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| Coherent Combination of GPS III L1 C/A and L1C Signals for GNSS Reflectometry | Du, Hao, Nan, Yang, Li, Weiqiang, Cardellach, Estel, Ribo, Serni, Rius, Antonio | Radar Cross-Section, Radar Reflectivity, SIGMA NAUGHT, Flight Data Logs, SENSOR COUNTS | ||
| Deep Learning in Spaceborne GNSS Reflectometry: Correcting Precipitation Effects on Wind Speed Products | Xiao, Tianqi, Arnold, Caroline, Zhao, Daixin, Mou, Lichao, Wickert, Jens, Asgarimehr, Milad | Radar Cross-Section, Radar Reflectivity, Surface Winds, Surface Winds, SIGMA NAUGHT, Radar Reflectivity, Radar Cross-Section, Precipitation, Precipitation Amount, Precipitation Rate, Snow, Rain, SENSOR COUNTS | ||
| Deep residual fully connected network for GNSS-R wind speed retrieval and its interpretation | Du, Hao, Li, Weiqiang, Cardellach, Estel, Ribo, Serni, Rius, Antonio, Nan, Yang | Ocean Currents, Radar Cross-Section, Surface Winds, Surface Winds | ||
| Diurnal Vegetation Moisture Cycle in the Amazon and Response to Water | Asgarimehr, Milad, Entekhabi, Dara, Camps, Adriano | Brightness Temperature, SIGMA NAUGHT, Soil Moisture/Water Content, Radar Cross-Section, Radar Reflectivity, Precipitation, Precipitation Amount, Precipitation Rate, Snow, Rain, Surface Soil Moisture, SENSOR COUNTS |
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| CYGNSS Level 3 Merged Wind Speed Data Product for Storm Force and Surrounding Environmental Winds | Warnock, April M., Ruf, Christopher S., Russel, Anthony, Al-Khaldi, Mohammad M., Balasubramaniam, Rajeswari | Wind Direction, Wind Speed, Surface Winds, Surface Winds |