Exploring Imaging Methods for In Situ Measurements of the Visual Appearance of Snow

Author:

Nguyen Mathieu1,Thomas Jean-Baptiste12,Farup Ivar1ORCID

Affiliation:

1. Colourlab, Department of Computer Science, Norwegian University of Science and Technology (NTNU), 2815 Gjøvik, Norway

2. Imagerie et Vision Artificielle (ImVIA) Laboratory, Department Informatique, Electronique, Mécanique (IEM), Université de Bourgogne, 21000 Dijon, France

Abstract

We explored imaging methods to perform in situ field measurements of physical correlates of the visual appearance of snow. Measurements were performed at three locations in Norway between February and March 2023. We used a method to estimate the absorption and scattering coefficients of snow using only one measurement of reflectance captured by the Dia-Stron© TLS850 translucency meter. We also measured the sparkle indicators (contrast and density of sparkle spots) from digital images of snow. The contrast of sparkle spots can be defined as the median value of all the pixels identified as sparkle spots by an algorithm, and the density of sparkle spots is the number of sparkle spots in a selected area of the image. In the case of the sparkle of the snow surface, we found that there is a potential to use the sparkle indicators for classifying the grain types, but it requires a larger data set coupled with expert labelling to define the type of snow. For the absorption and scattering properties, the measurements confirm the fact that snow is a weakly absorptive and highly scattering material when modelling light interactions in the snow. No correlation between the optical properties and sparkle could be found in our data.

Publisher

MDPI AG

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