A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Remote sensing of snow avalanches: Recent advances, potential, and limitations
https://orcid.org/0000-0002-4997-9593
https://orcid.org/0000-0002-3129-5337
Abstract Snow avalanches are the main natural hazard in snow covered mountainous areas worldwide, frequently threatening lives and infrastructure. Avalanche research is inherently risk research, working towards avalanche risk mitigation and accident prevention. The pondering research questions have not changed much in the last decades; however, methods to approach these research questions have improved substantially. Remote sensing enables objective, safe, and spatial continuous observations of snow avalanches at different spatial scales. Today's abundance of sensor platforms and their sensitivity to a broad range of wavelengths allows for detection of avalanches and associated snowpack processes. This review paper highlights advancements in instrumentation, data analysis, and automatization efforts in detecting avalanches, applying ground based, air-, and space borne optical, laser and radar sensors. We further discuss opportunities and limitations of the instruments and techniques, as well as state where we see the most important future challenges. We focus on the applicability of the reviewed sensors and methods for avalanche detection and mapping in an operational context.
Highlights Traditional field-based data acquisition of avalanche activity has limitations. We review advances, potential, and limitation of remote sensing of avalanches. We review terrestrial, airborne, and spaceborne radar, optical, and LiDAR sensors. Spaceborne radar sensors have the highest potential for remote avalanche detection. Technical integration of remote sensing data in avalanche forecasting is future challenge.
Remote sensing of snow avalanches: Recent advances, potential, and limitations
https://orcid.org/0000-0002-4997-9593
https://orcid.org/0000-0002-3129-5337
Abstract Snow avalanches are the main natural hazard in snow covered mountainous areas worldwide, frequently threatening lives and infrastructure. Avalanche research is inherently risk research, working towards avalanche risk mitigation and accident prevention. The pondering research questions have not changed much in the last decades; however, methods to approach these research questions have improved substantially. Remote sensing enables objective, safe, and spatial continuous observations of snow avalanches at different spatial scales. Today's abundance of sensor platforms and their sensitivity to a broad range of wavelengths allows for detection of avalanches and associated snowpack processes. This review paper highlights advancements in instrumentation, data analysis, and automatization efforts in detecting avalanches, applying ground based, air-, and space borne optical, laser and radar sensors. We further discuss opportunities and limitations of the instruments and techniques, as well as state where we see the most important future challenges. We focus on the applicability of the reviewed sensors and methods for avalanche detection and mapping in an operational context.
Highlights Traditional field-based data acquisition of avalanche activity has limitations. We review advances, potential, and limitation of remote sensing of avalanches. We review terrestrial, airborne, and spaceborne radar, optical, and LiDAR sensors. Spaceborne radar sensors have the highest potential for remote avalanche detection. Technical integration of remote sensing data in avalanche forecasting is future challenge.
Remote sensing of snow avalanches: Recent advances, potential, and limitations
https://orcid.org/0000-0002-4997-9593
https://orcid.org/0000-0002-3129-5337
Abstract Snow avalanches are the main natural hazard in snow covered mountainous areas worldwide, frequently threatening lives and infrastructure. Avalanche research is inherently risk research, working towards avalanche risk mitigation and accident prevention. The pondering research questions have not changed much in the last decades; however, methods to approach these research questions have improved substantially. Remote sensing enables objective, safe, and spatial continuous observations of snow avalanches at different spatial scales. Today's abundance of sensor platforms and their sensitivity to a broad range of wavelengths allows for detection of avalanches and associated snowpack processes. This review paper highlights advancements in instrumentation, data analysis, and automatization efforts in detecting avalanches, applying ground based, air-, and space borne optical, laser and radar sensors. We further discuss opportunities and limitations of the instruments and techniques, as well as state where we see the most important future challenges. We focus on the applicability of the reviewed sensors and methods for avalanche detection and mapping in an operational context.
Highlights Traditional field-based data acquisition of avalanche activity has limitations. We review advances, potential, and limitation of remote sensing of avalanches. We review terrestrial, airborne, and spaceborne radar, optical, and LiDAR sensors. Spaceborne radar sensors have the highest potential for remote avalanche detection. Technical integration of remote sensing data in avalanche forecasting is future challenge.
Remote sensing of snow avalanches: Recent advances, potential, and limitations
Eckerstorfer, Markus (author) / Bühler, Yves (author) / Frauenfelder, Regula (author) / Malnes, Eirik (author)
Cold Regions, Science and Technology ; 121 ; 126-140
2015-11-02
15 pages
Article (Journal)
Electronic Resource
English
Remote sensing of snow avalanches: Recent advances, potential, and limitations
| Online Contents | 2016
Dynamics of Powder-Snow Avalanches
| UB Braunschweig | 1986
Dynamics of Powder-Snow Avalanches
| TIBKAT | 1986
Snow and avalanches: management and risks
| British Library Conference Proceedings | 1996