Results 1 to 10 of about 985 (191)
The CYGNSS Mission: On-Going Science Team Investigations
In 2012, the National Aeronautics and Space Administration (NASA) selected the CYclone Global Navigation Satellite System (CYGNSS) mission coordinated by the University of Michigan (UM) as a low-cost and high-science Earth Venture Mission.
April Warnock +2 more
exaly +8 more sources
Spatially Interpolated CYGNSS Data Improve Downscaled 3 km SMAP/CYGNSS Soil Moisture [PDF]
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 ...
Clara Chew, Liza Wernicke, Eric Small
exaly +5 more sources
Desert Roughness Retrieval Using CYGNSS GNSS-R Data [PDF]
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.
Mehrez Zribi +2 more
exaly +5 more sources
Multiresolution soil moisture products based on a spatially adaptive estimation model and CYGNSS data [PDF]
The 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 +4 more sources
Variational Retrievals of High Winds Using Uncalibrated CyGNSS Observables [PDF]
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 +4 more sources
INTRODUCING THE GLOBAL MAPPING OF FLOOD DYNAMICS USING GNSS-REFLECTOMETRY AND THE CYGNSS MISSION [PDF]
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 +2 more sources
Using the first full annual cycle of Cyclone Global Navigation Satellite System (CyGNSS) observations, we investigated the limitations and capabilities of CyGNSS observations for soil moisture (SM) estimates (0–5 cm).
Venkataraman Lakshmi, Hyunglok Kim
exaly +2 more sources
A Modified Hierarchical Vision Transformer for Soil Moisture Retrieval From CYGNSS Data
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 +4 more
doaj +2 more sources
High Spatio-Temporal Resolution CYGNSS Soil Moisture Estimates Using Artificial Neural Networks
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
Spaceborne Global Navigation Satellite System Reflectometry (GNSS-R) provides a new opportunity for land observation. This study is the first to compare and evaluate the performance of the only two spaceborne GNSS-R satellite missions whose data are ...
Baojian Liu, Wei Wan, Zhigang Sun
exaly +3 more sources

