Results 1 to 10 of about 985 (191)

The CYGNSS Mission: On-Going Science Team Investigations

open access: yesRemote Sensing, 2021
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]

open access: yesRemote 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 ...
Clara Chew, Liza Wernicke, Eric Small
exaly   +5 more sources

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

open access: yesRemote 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.
Mehrez Zribi   +2 more
exaly   +5 more sources

Multiresolution soil moisture products based on a spatially adaptive estimation model and CYGNSS data [PDF]

open access: yesGIScience and Remote Sensing
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]

open access: yesRemote 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   +4 more sources

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

open access: yesISPRS 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   +2 more sources

Use of Cyclone Global Navigation Satellite System (CyGNSS) Observations for Estimation of Soil Moisture

open access: yesGeophysical Research Letters, 2018
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

open access: yesWater 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   +4 more
doaj   +2 more sources

High Spatio-Temporal Resolution CYGNSS Soil Moisture Estimates Using Artificial Neural Networks

open access: yesRemote 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

Comprehensive Evaluation of Using TechDemoSat-1 and CYGNSS Data to Estimate Soil Moisture over Mainland China

open access: yesRemote Sensing, 2020
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

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