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

• Verfasst von: Okorn, Robert [VerfasserIn]
• Verfasst von: Heilig, Achim [VerfasserIn]
• Titel: Upward-looking L-band FMCW radar for snow cover monitoring
• Verf.angabe: Robert Okorn, Georg Brunnhofer, Thomas Platzer, Achim Heilig, Lino Schmid, Christoph Mitterer, Jürg Schweizer, Olaf Eisen
• E-Jahr: 2014
• Jahr: 21 March 2014
• Umfang: 10 S.
• Fussnoten: Gesehen am 24.09.2020
• Titel Quelle: Enthalten in: Cold regions science and technology
• Ort Quelle: Amsterdam [u.a.] : Elsevier Science, 1979
• Jahr Quelle: 2014
• Band/Heft Quelle: 103(2014), Seite 31-40
• DOI: doi:10.1016/j.coldregions.2014.03.006
• Datenträger: Online-Ressource
• Sprache: eng
• Sach-SW: FMCW
• Sach-SW: Radar
• Sach-SW: Snow stratigraphy
• Sach-SW: Snowpack monitoring
• Sach-SW: Surface tracking
• K10plus-PPN: 1733687793

Abstract

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 8cm 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.