Cargando…

Upward-looking L-band FMCW radar for snow cover monitoring

Forecasting snow avalanche danger in mountainous regions is of major importance for the protection of infrastructure in avalanche run-out zones. Inexpensive measurement devices capable of measuring snow height and layer properties in avalanche starting zones may help to improve the quality of risk a...

Descripción completa

Detalles Bibliográficos
Autores principales: Okorn, Robert, Brunnhofer, Georg, Platzer, Thomas, Heilig, Achim, Schmid, Lino, Mitterer, Christoph, Schweizer, Jürg, Eisen, Olaf
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Scientific Pub. Co 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4045589/
https://www.ncbi.nlm.nih.gov/pubmed/24994943
http://dx.doi.org/10.1016/j.coldregions.2014.03.006
_version_ 1782319346926747648
author Okorn, Robert
Brunnhofer, Georg
Platzer, Thomas
Heilig, Achim
Schmid, Lino
Mitterer, Christoph
Schweizer, Jürg
Eisen, Olaf
author_facet Okorn, Robert
Brunnhofer, Georg
Platzer, Thomas
Heilig, Achim
Schmid, Lino
Mitterer, Christoph
Schweizer, Jürg
Eisen, Olaf
author_sort Okorn, Robert
collection PubMed
description Forecasting snow avalanche danger in mountainous regions is of major importance for the protection of infrastructure in avalanche run-out zones. Inexpensive measurement devices capable of measuring snow height and layer properties in avalanche starting zones may help to improve the quality of risk assessment. We present a low-cost L-band frequency modulated continuous wave radar system (FMCW) in upward-looking configuration. To monitor the snowpack evolution, the radar system was deployed in fall and subsequently was covered by snowfalls. During two winter seasons we recorded reflections from the overlying snowpack. The influence of reflection magnitude and phase to the measured frequency spectra, as well as the influence of signal processing were investigated. We present a method to extract the phase of the reflection coefficients from the phase response of the frequency spectra and their integration into the presentation of the measurement data. The phase information significantly improved the detectability of the temporal evolution of the snow surface reflection. We developed an automated and a semi-automated snow surface tracking algorithm. Results were compared with independently measured snow height from a laser snow-depth sensor and results derived from an upward-looking impulse radar system (upGPR). The semi-automated tracking used the phase information and had an accuracy of about 6 to 8 cm for dry-snow conditions, similar to the accuracy of the upGPR, compared to measurements from the laser snow-depth sensor. The percolation of water was observable in the radargrams. Results suggest that the upward-looking FMCW system may be a valuable alternative to conventional snow-depth sensors for locations, where fixed installations above ground are not feasible.
format Online
Article
Text
id pubmed-4045589
institution National Center for Biotechnology Information
language English
publishDate 2014
publisher Elsevier Scientific Pub. Co
record_format MEDLINE/PubMed
spelling pubmed-40455892014-07-01 Upward-looking L-band FMCW radar for snow cover monitoring Okorn, Robert Brunnhofer, Georg Platzer, Thomas Heilig, Achim Schmid, Lino Mitterer, Christoph Schweizer, Jürg Eisen, Olaf Cold Reg Sci Technol Article Forecasting snow avalanche danger in mountainous regions is of major importance for the protection of infrastructure in avalanche run-out zones. Inexpensive measurement devices capable of measuring snow height and layer properties in avalanche starting zones may help to improve the quality of risk assessment. We present a low-cost L-band frequency modulated continuous wave radar system (FMCW) in upward-looking configuration. To monitor the snowpack evolution, the radar system was deployed in fall and subsequently was covered by snowfalls. During two winter seasons we recorded reflections from the overlying snowpack. The influence of reflection magnitude and phase to the measured frequency spectra, as well as the influence of signal processing were investigated. We present a method to extract the phase of the reflection coefficients from the phase response of the frequency spectra and their integration into the presentation of the measurement data. The phase information significantly improved the detectability of the temporal evolution of the snow surface reflection. We developed an automated and a semi-automated snow surface tracking algorithm. Results were compared with independently measured snow height from a laser snow-depth sensor and results derived from an upward-looking impulse radar system (upGPR). The semi-automated tracking used the phase information and had an accuracy of about 6 to 8 cm for dry-snow conditions, similar to the accuracy of the upGPR, compared to measurements from the laser snow-depth sensor. The percolation of water was observable in the radargrams. Results suggest that the upward-looking FMCW system may be a valuable alternative to conventional snow-depth sensors for locations, where fixed installations above ground are not feasible. Elsevier Scientific Pub. Co 2014-07 /pmc/articles/PMC4045589/ /pubmed/24994943 http://dx.doi.org/10.1016/j.coldregions.2014.03.006 Text en © 2014 The Authors http://creativecommons.org/licenses/by/3.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/3.0/).
spellingShingle Article
Okorn, Robert
Brunnhofer, Georg
Platzer, Thomas
Heilig, Achim
Schmid, Lino
Mitterer, Christoph
Schweizer, Jürg
Eisen, Olaf
Upward-looking L-band FMCW radar for snow cover monitoring
title Upward-looking L-band FMCW radar for snow cover monitoring
title_full Upward-looking L-band FMCW radar for snow cover monitoring
title_fullStr Upward-looking L-band FMCW radar for snow cover monitoring
title_full_unstemmed Upward-looking L-band FMCW radar for snow cover monitoring
title_short Upward-looking L-band FMCW radar for snow cover monitoring
title_sort upward-looking l-band fmcw radar for snow cover monitoring
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4045589/
https://www.ncbi.nlm.nih.gov/pubmed/24994943
http://dx.doi.org/10.1016/j.coldregions.2014.03.006
work_keys_str_mv AT okornrobert upwardlookinglbandfmcwradarforsnowcovermonitoring
AT brunnhofergeorg upwardlookinglbandfmcwradarforsnowcovermonitoring
AT platzerthomas upwardlookinglbandfmcwradarforsnowcovermonitoring
AT heiligachim upwardlookinglbandfmcwradarforsnowcovermonitoring
AT schmidlino upwardlookinglbandfmcwradarforsnowcovermonitoring
AT mittererchristoph upwardlookinglbandfmcwradarforsnowcovermonitoring
AT schweizerjurg upwardlookinglbandfmcwradarforsnowcovermonitoring
AT eisenolaf upwardlookinglbandfmcwradarforsnowcovermonitoring