Results 21 to 30 of about 1,430 (223)

Variational Retrievals of High Winds Using Uncalibrated CyGNSS Observables [PDF]

Remote Sensing, 2020
This study presents a new retrieval approach for obtaining wind speeds from CyGNSS level-1 observables. Unlike other existing approaches, (1) this one is a variational technique that is based on a physical forward model, (2) it uses uncalibrated bin raw ...
Estel Cardellach, Yang Nan, Weiqiang Li, Ramon Padullés, Serni Ribó, Antonio Rius   +5 more
doaj   +3 more sources

Assessment of CYGNSS Wind Speed Retrieval Uncertainty

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2019
Measurements of near surface wind speed made by the Cyclone Global Navigation Satellite System (CYGNSS) constellation of GNSS-R satellites are evaluated and their uncertainty is assessed in two ways. A bottom-up assessment begins with a model for the error in engineering measurements and propagates that error through the wind speed retrieval algorithm ...
Christopher Ruf, Scott Gleason, Darren S Mckague   +2 more
exaly   +2 more sources

Berkeley‐RWAWC: A New CYGNSS‐Based Watermask Unveils Unique Observations of Seasonal Dynamics in the Tropics

Water Resources Research
The UC Berkeley Random Walk Algorithm WaterMask from CYGNSS (Berkeley‐RWAWC) is a new data product designed to address the challenges of monitoring inundation in regions hindered by dense vegetation and cloud cover as is the case in most of the Tropics ...
Tianjiao Pu, Cynthia Gerlein‐Safdi, Ying Xiong, Mengze Li, Eric A. Kort, A. Anthony Bloom   +5 more
doaj   +2 more sources

Satellite sensor requirements for monitoring essential biodiversity variables of coastal ecosystems. [PDF]

Ecol Appl, 2018
The biodiversity and high productivity of coastal terrestrial and aquatic habitats are the foundation for important benefits to human societies around the world.
Muller-Karger FE, Hestir E, Ade C, Turpie K, Roberts DA, Siegel D, Miller RJ, Humm D, Izenberg N, Keller M, Morgan F, Frouin R, Dekker AG, Gardner R, Goodman J, Schaeffer B, Franz BA, Pahlevan N, Mannino AG, Concha JA, Ackleson SG, Cavanaugh KC, Romanou A, Tzortziou M, Boss ES, Pavlick R, Freeman A, Rousseaux CS, Dunne J, Long MC, Klein E, McKinley GA, Goes J, Letelier R, Kavanaugh M, Roffer M, Bracher A, Arrigo KR, Dierssen H, Zhang X, Davis FW, Best B, Guralnick R, Moisan J, Sosik HM, Kudela R, Mouw CB, Barnard AH, Palacios S, Roesler C, Drakou EG, Appeltans W, Jetz W.   +52 more
europepmc   +3 more sources

INTRODUCING THE GLOBAL MAPPING OF FLOOD DYNAMICS USING GNSS-REFLECTOMETRY AND THE CYGNSS MISSION [PDF]

ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2022
This study uses the observations from the Cyclone GNSS (CYGNSS) mission to analyze their potential for a global mapping of the floods dynamics in the pan-tropical area using Global Navigation Satellite System (GNSS) Reflectometry (GNSS-R).
P. Zeiger, F. Frappart, J. Darrozes
doaj   +1 more source

Downscaling SMAP Brightness Temperatures to 3 km Using CYGNSS Reflectivity Observations: Factors That Affect Spatial Heterogeneity

Remote Sensing, 2022
NASA’s Soil Moisture Active Passive (SMAP) mission only retrieved ~2.5 months of 3 km near surface soil moisture (NSSM) before its radar transmitter malfunctioned. NSSM remains an important area of study, and multiple applications would benefit from 3 km
Liza J. Wernicke, Clara C. Chew, Eric E. Small, Narendra N. Das   +3 more
doaj   +1 more source

Validation of NOAA CyGNSS Wind Speed Product with the CCMP Data

Remote Sensing, 2021
The National Aeronautics and Space Administration (NASA) Cyclone Global Navigation Satellite System (CyGNSS) mission was launched in December 2016, which can remotely sense sea surface wind with a relatively high spatio-temporal resolution for tracking ...
Xiaohui Li, Dongkai Yang, Jingsong Yang, Guoqi Han, Gang Zheng, Weiqiang Li   +5 more
doaj   +1 more source

Assessing CYGNSS Satellite Soil Moisture Data for Drought Monitoring with Multiple Datasets and Indicators

Remote Sensing, 2023
Drought monitoring is crucial for various sectors, and soil moisture data play a pivotal role, especially in agricultural contexts. This study focuses on the recent CYGNSS Level 3 soil moisture data derived from the NASA Cyclone Global Navigation ...
Zhaolu Hou, Zhaoxia Pu
doaj   +1 more source

The Application of CYGNSS Data for Soil Moisture and Inundation Mapping in Australia

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021
Cyclone global navigation satellite system (CYGNSS) has provided a valuable opportunity for high spatiotemporal monitoring of land surface reflectivity over the past few years.
Mehdi Khaki, Shin-Chan Han, In-Young Yeo, Andrew Frost   +3 more
doaj   +1 more source

Studies of a Rapid Change Detector Using CYGNSS Level-2 Wind Speed Products

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021
This work further investigates the use of ocean wind speed retrievals from NASA's Cyclone Global Navigation Satellite System (CYGNSS) mission that are closely spaced in space and in time to detect regions in the atmosphere undergoing “rapid&
Mohammad M. Al-Khaldi, Alexandra Bringer, Joel T. Johnson   +2 more
doaj   +1 more source