Results 11 to 20 of about 333 (162)

Spatially Interpolated CYGNSS Data Improve Downscaled 3 km SMAP/CYGNSS Soil Moisture

Remote Sensing
Soil moisture data with both a fine spatial scale and a short global repeat period would benefit many hydrologic and climatic applications. Since the radar transmitter malfunctioned on NASA’s Soil Moisture Active Passive (SMAP) in 2015, SMAP soil ...
Liza J. Wernicke, Clara C. Chew, Eric E. Small   +2 more
doaj   +2 more sources

Desert Roughness Retrieval Using CYGNSS GNSS-R Data [PDF]

Remote Sensing, 2020
The aim of this paper is to assess the potential use of data recorded by the Global Navigation Satellite System Reflectometry (GNSS-R) Cyclone Global Navigation Satellite System (CYGNSS) constellation to characterize desert surface roughness.
Donato Stilla, Mehrez Zribi, Nazzareno Pierdicca, Nicolas Baghdadi, Mireille Huc   +4 more
doaj   +4 more sources

A Modified Hierarchical Vision Transformer for Soil Moisture Retrieval From CYGNSS Data

Water Resources Research
This 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, Yuhan Chen, Yuanjin Pan, Shuanggen Jin, Weimin Huang   +4 more
doaj   +2 more sources

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

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

Impacts of Assimilating CYGNSS Satellite Ocean-Surface Wind on Prediction of Landfalling Hurricanes with the HWRF Model

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, Ying Wang, Xin Li, Christopher Ruf, Li Bi, Avichal Mehra   +5 more
doaj   +1 more source

An Effective Land Type Labeling Approach for Independently Exploiting High-Resolution Soil Moisture Products Based on CYGNSS Data

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022
Recently, soil moisture (SM) has been estimated using Cyclone Global Navigation Satellite System (CYGNSS) data. Machine learning (ML) algorithms for CYGNSS SM estimation can minimize unpredictable influences and help improve the accuracy of SM retrieval.
Yan Jia, Shuanggen Jin, Qingyun Yan, Patrizia Savi, Rongchun Zhang, Wenmei Li   +5 more
doaj   +1 more source

A preliminary view of the CYGNSS soil moisture-vegetation activity linkage

Frontiers in Forests and Global Change, 2023
IntroductionSoil moisture (SM) is crucial for regulating vegetation productivity and sustaining plant growth. Understanding the linkage between SM and vegetation activity is paramount in eco-hydrology modeling and meteorological applications. CYGNSS, one
Ting Yang, Ting Yang, Nan Cong
doaj   +1 more source

Triple Collocation Analysis and In Situ Validation of the CYGNSS Soil Moisture Product

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023
Cyclone Global Navigation Satellite System (CYGNSS) soil moisture (SM) product is characterized by high temporal resolution, but the relative strengths and weaknesses of this new product are unknown.
Xiaodong Deng, Luyao Zhu, Hongquan Wang, XianYun Zhang, Cheng Tong, Sinan Li, Ke Wang   +6 more
doaj   +1 more source

CYGNSS Surface Heat Flux Product Development [PDF]

Remote Sensing, 2019
Ocean surface heat fluxes play a significant role in the genesis and evolution of various marine-based atmospheric phenomena, from the synoptic scale down to the microscale. While in-situ measurements from buoys and flux towers will continue to be the standard in regards to surface heat flux estimates, they commonly have significant gaps in temporal ...
Juan Crespo, Derek Posselt, Shakeel Asharaf   +2 more
openaire   +2 more sources