(Near) Real-Time Snow Water Equivalent Observation Using GNSS Refractometry and RTKLIB

Global navigation satellite system (GNSS) refractometry enables automated and continuous in situ snow water equivalent (SWE) observations. Such accurate and reliable in situ data are needed for calibration and validation of remote sensing data and could enhance snow hydrological monitoring and model...

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Main Authors: Ladina Steiner, Géraldine Studemann, David Eugen Grimm, Christoph Marty, Silvan Leinss
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/22/18/6918
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author Ladina Steiner
Géraldine Studemann
David Eugen Grimm
Christoph Marty
Silvan Leinss
author_facet Ladina Steiner
Géraldine Studemann
David Eugen Grimm
Christoph Marty
Silvan Leinss
author_sort Ladina Steiner
collection DOAJ
description Global navigation satellite system (GNSS) refractometry enables automated and continuous in situ snow water equivalent (SWE) observations. Such accurate and reliable in situ data are needed for calibration and validation of remote sensing data and could enhance snow hydrological monitoring and modeling. In contrast to previous studies which relied on post-processing with the highly sophisticated Bernese GNSS processing software, the feasibility of in situ SWE determination in post-processing and (near) real time using the open-source GNSS processing software RTKLIB and GNSS refractometry based on the biased coordinate Up component is investigated here. Available GNSS observations from a fixed, high-end GNSS refractometry snow monitoring setup in the Swiss Alps are reprocessed for the season 2016/17 to investigate the applicability of RTKLIB in post-processing. A fixed, low-cost setup provides continuous SWE estimates in near real time at a low cost for the complete 2021/22 season. Additionally, a mobile, (near) real-time and low-cost setup was designed and evaluated in March 2020. The fixed and mobile multi-frequency GNSS setups demonstrate the feasibility of (near) real-time SWE estimation using GNSS refractometry. Compared to state-of-the-art manual SWE observations, a mean relative bias below 5% is achieved for (near) real-time and post-processed SWE estimation using RTKLIB.
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spelling doaj.art-7de9ebdf8e4c442c8613cb7f9fb715772023-11-23T18:51:15ZengMDPI AGSensors1424-82202022-09-012218691810.3390/s22186918(Near) Real-Time Snow Water Equivalent Observation Using GNSS Refractometry and RTKLIBLadina Steiner0Géraldine Studemann1David Eugen Grimm2Christoph Marty3Silvan Leinss4Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung (AWI), 27515 Bremerhaven, GermanyInstitute of Geomatics, University of Sciences and Arts of Northwestern Switzerland (FHNW), 4132 Muttenz, SwitzerlandInstitute of Geomatics, University of Sciences and Arts of Northwestern Switzerland (FHNW), 4132 Muttenz, SwitzerlandWSL Institute for Snow and Avalanche Research SLF, 7260 Davos, SwitzerlandETH Zurich, 8093 Zurich, SwitzerlandGlobal navigation satellite system (GNSS) refractometry enables automated and continuous in situ snow water equivalent (SWE) observations. Such accurate and reliable in situ data are needed for calibration and validation of remote sensing data and could enhance snow hydrological monitoring and modeling. In contrast to previous studies which relied on post-processing with the highly sophisticated Bernese GNSS processing software, the feasibility of in situ SWE determination in post-processing and (near) real time using the open-source GNSS processing software RTKLIB and GNSS refractometry based on the biased coordinate Up component is investigated here. Available GNSS observations from a fixed, high-end GNSS refractometry snow monitoring setup in the Swiss Alps are reprocessed for the season 2016/17 to investigate the applicability of RTKLIB in post-processing. A fixed, low-cost setup provides continuous SWE estimates in near real time at a low cost for the complete 2021/22 season. Additionally, a mobile, (near) real-time and low-cost setup was designed and evaluated in March 2020. The fixed and mobile multi-frequency GNSS setups demonstrate the feasibility of (near) real-time SWE estimation using GNSS refractometry. Compared to state-of-the-art manual SWE observations, a mean relative bias below 5% is achieved for (near) real-time and post-processed SWE estimation using RTKLIB.https://www.mdpi.com/1424-8220/22/18/6918global navigation satellite systemsGNSSrefractometrysnow water equivalentSWEreal time
spellingShingle Ladina Steiner
Géraldine Studemann
David Eugen Grimm
Christoph Marty
Silvan Leinss
(Near) Real-Time Snow Water Equivalent Observation Using GNSS Refractometry and RTKLIB
Sensors
global navigation satellite systems
GNSS
refractometry
snow water equivalent
SWE
real time
title (Near) Real-Time Snow Water Equivalent Observation Using GNSS Refractometry and RTKLIB
title_full (Near) Real-Time Snow Water Equivalent Observation Using GNSS Refractometry and RTKLIB
title_fullStr (Near) Real-Time Snow Water Equivalent Observation Using GNSS Refractometry and RTKLIB
title_full_unstemmed (Near) Real-Time Snow Water Equivalent Observation Using GNSS Refractometry and RTKLIB
title_short (Near) Real-Time Snow Water Equivalent Observation Using GNSS Refractometry and RTKLIB
title_sort near real time snow water equivalent observation using gnss refractometry and rtklib
topic global navigation satellite systems
GNSS
refractometry
snow water equivalent
SWE
real time
url https://www.mdpi.com/1424-8220/22/18/6918
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