Results 11 to 20 of about 365 (171)
GIScience and Remote SensingThe estimation of soil moisture (SM) utilizing the data from the Cyclone Global Navigation Satellite System (CYGNSS) has attracted significant interest in recent times.
Qingyun Yan +2 more
exaly +3 more sources
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
doaj +2 more sources
High Spatio-Temporal Resolution CYGNSS Soil Moisture Estimates Using Artificial Neural Networks
Remote Sensing, 2019 This paper presents a learning-based, physics-aware soil moisture (SM) retrieval algorithm for NASA’s Cyclone Global Navigation Satellite System (CYGNSS) mission.
Ali Cafer Gurbuz +2 more
exaly +3 more sources
Analysis of CYGNSS Data for Soil Moisture Retrieval
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2019 Data from the CYGNSS mission, originally conceived to monitor tropical cyclones, are being investigated here for land applications as well. In this paper, a methodology for soil moisture (SM) retrieval from CYGNSS data is presented. The approach derives Level 3 gridded daily SM estimations, over the latitudinal band covered by CYGNSS, at a resolution ...
Nicolas Floury +2 more
exaly +3 more sources
Significant Wave Height Estimation from Joint CYGNSS DDMA and LES Observations [PDF]
Sensors, 2021 Shuanggen Jin, Yan Jia
exaly +2 more sources
Variational Retrievals of High Winds Using Uncalibrated CyGNSS Observables
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 +2 more
exaly +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
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 +5 more
doaj +1 more source
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 +3 more
doaj +1 more source