Item: Regional scale statistical mapping of snow avalanche likelihood and its combination with an optical remote sensing based avalanche detection approach - first attempts for the province of South Tyrol (Italy)
-
-
Title: Regional scale statistical mapping of snow avalanche likelihood and its combination with an optical remote sensing based avalanche detection approach - first attempts for the province of South Tyrol (Italy)
Proceedings: International Snow Science Workshop Proceedings 2018, Innsbruck, Austria
Authors:
- Sarah Nolting [ Department of Remote Sensing, Julius-Maximilian-University Würzburg, Germany ] [ Institute for Earth Observation, Eurac Research, Bolzano, Italy ]
- Carlo Marin [ Institute for Earth Observation, Eurac Research, Bolzano, Italy ]
- Stefan Steger [ Institute for Earth Observation, Eurac Research, Bolzano, Italy ]
- Stefan Schneiderbauer [ Institute for Earth Observation, Eurac Research, Bolzano, Italy ]
- Claudia Notarnicola [ Norut Northern Research Institute, Tromsø, Norway ] [ Institute for Earth Observation, Eurac Research, Bolzano, Italy ]
- Marc Zebisch [ Institute for Earth Observation, Eurac Research, Bolzano, Italy ]
Date: 2018-10-07
Abstract: Snow avalanches are potentially dangerous phenomena in many mountainous areas worldwide. Most avalanche related research concentrates on a detailed analysis of single events at local scale. This research focuses at regional scale (i.e., about 7,400 km2) and aims to (i) delineate the static likelihood of snow avalanche occurrence for South Tyrol, (ii) to detect snow avalanches on the basis of optical remotesensing data and to (iii) integrate approach (i) and (ii) to achieve a better performing avalanche detection model. In the context of the first activity (i), the methodological framework consists of a statistically based mapping of zones that are prone to avalanche release. The derived avalanche release likelihood model is supposed to be static in time and subsequently coupled with a random walk approach to estimate snow avalanche paths at regional scale. For the second activity (ii) optical remote sensing imagery of the Sentinel- 2 Sensor are used to detect avalanches with a change detection approach. Finally, the third activity (iii) involves the combination of the (static) avalanche model (activity i) with the avalanche detection approach (activity ii). First results indicate that the proposed integration of the static statistical avalanche model with a remote sensing based change detection approach has the potential to enhance the data-driven multitemporal mapping of avalanche occurrence at regional scale.
Object ID: ISSW2018_P04.10.pdf
Language of Article: English
Presenter(s):
Keywords: avalanche detection, change detection, generalized additive model, optical remote sensing, Sentinel-2.
Page Number(s): 382-387
-