3
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: not found

      Recording microscale variations in snowpack layering using near-infrared photography

      Read this article at

      ScienceOpenPublisher
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Deposition of snow from precipitation and wind events creates layering within seasonal snowpacks. The thickness and horizontal continuity of layers within seasonal snowpacks can be highly variable, due to snow blowing around topography and vegetation, and this has important implications for hydrology, remote sensing and avalanche forecasting. In this paper, we present practical field and post-processing protocols for recording lateral variations in snow stratigraphy using near-infrared (NIR) photography. A Fuji S9100 digital camera, modified to be sensitive to NIR wavelengths, was mounted on a rail system that allowed for rapid imaging of a 10 m long snow trench excavated on the north side of Toolik Lake, Alaska (68°38′ N, 149°36′ W). Post-processing of the images included removal of lens distortion and vignetting. A tape measure running along the base of the trench provided known locations (control points) that permitted scaling and georeferencing. Snow layer heights estimated from the NIR images compared well with manual stratigraphic measurements made at 0.2 m intervals along the trench ( n = 357, R 2 = 0.97). Considerably greater stratigraphic detail was captured by the NIR images than in the manually recorded profiles. NIR imaging of snow trenches using the described protocols is an efficient tool for quantifying continuous microscale variations in snow layers and associated properties.

          Related collections

          Most cited references18

          • Record: found
          • Abstract: not found
          • Article: not found

          A Model for the Spectral Albedo of Snow. II: Snow Containing Atmospheric Aerosols

            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            A numerical model to simulate snow-cover stratigraphy for operational avalanche forecasting

            Laws of snow metamorphism have been introduced in a numerical model which simulates the evolution of temperature, density and liquid-water profiles of snow cover as a function of weather conditions.
              Bookmark
              • Record: found
              • Abstract: not found
              • Article: not found

              A physical SNOWPACK model for the Swiss avalanche warning

                Bookmark

                Author and article information

                Journal
                applab
                Journal of Glaciology
                J. Glaciology.
                Cambridge University Press (CUP)
                0022-1430
                1727-5652
                2010
                September 8 2017
                2010
                : 56
                : 195
                : 75-80
                Article
                10.3189/002214310791190938
                0ebada27-0b1b-484e-b67a-89d8e0f50f97
                © 2010
                History

                Comments

                Comment on this article