International Snow Science Workshop Proceedings - Montana State University Library

Item: GIS based ATES mapping in Norway, a tool for expert guided mapping

• • Title: GIS based ATES mapping in Norway, a tool for expert guided mapping

    Proceedings: International Snow Science Workshop Proceedings 2018, Innsbruck, Austria

    Authors:

    • HÃ¥vard T. Larsen  [ Department of Earth Sciences, University of Bergen, Bergen, Norway ]  [ Snow and Avalanche Lab, Department of Earth Sciences, Montana State University, MT, USA ]
    • Jordy Hendrikx  [ Snow and Avalanche Lab, Department of Earth Sciences, Montana State University, MT, USA ]
    • Martine S. SlÃ¥tten  [ Norwegian Water Resources and Energy Directorate, Oslo, Norway ]
    • Rune V. Engeset  [ Norwegian Water Resources and Energy Directorate, Oslo, Norway ]

    Date: 2018-10-07

    Abstract: Manual classification of terrain using the Avalanche Terrain Exposure Scale (ATES) is time consuming. To increase the efficiency of expert terrain mapping, this study proposes a fully automated algorithm within GIS software to be used as a base layer to guide expert mapping. Our new algorithm is based on the technical model for ATES zoning. This model has specific terrain based thresholds that can be applied for automated terrain based modelling. Our algorithm expands on prior work by including the Potential Release Area (PRA) model to calculate the likelihood of an avalanche releasing from a start zone. We also use the raster based, TauDEM model to determine the avalanche runout length based on a specified alpha angle from the identified start zones. The start zone and avalanche runout data are then merged with the slope incline thresholds according to the model for ATES zoning. The final product is a 10 m resolution ATES map accounting for slope incline, start zone density, avalanche runout and slope shape. As a base layer for expert guided mapping, this product could provide the necessary quantitative input to ensure robust and consistent classification across different regions in Norway, or globally. We demonstrate the utility of our methods by comparing expert guided ATES maps to those generated solely by our new algorithm.

    Object ID: ISSW2018_P18.1.pdf

    Language of Article: English

    Presenter(s):

    Keywords: ATES, GIS, algorithm, zoning, avalanche, terrain

    Page Number(s): 1604-1608

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