Analysis of snow depth distribution focusing on vegetation and topographic features in Japan

Airborne laser scanning technology has become widely used and has made it possible to measure the height of a wide range of ground surfaces. In this study, we conducted a basic analysis of the relationship between snow depth and vegetation/topographic features using airborne laser scanning in the northernmost island of Japan, Hokkaido. The vegetation was differentiated between forest areas and non-forest areas, and topographic features such as elevation, overground-openness, slope angle, and slope aspect were selected for analysis. As a result, trends in spatial variability of snow depth differed significantly between forest and non-forest areas, clearly confirming the influence of vegetation. Spatial variability was relatively smaller inside the forest than outside the forest. In terms of topographic features, a clear relationship with overground-openness and slope aspect (non-forest only) was found. We also confirmed that our findings are generally consistent in quantitative terms with those of previous studies, showing that the spatial heterogeneity of snow depth is smaller in forest areas and greater in non-forest areas.

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Publication Details

Journal
Hydrological Research Letters
Published
2025-01-01
DOI
https://doi.org/10.3178/hrl.24-00026
Primary Topic
Cryospheric studies and observations
Type
article
Field-Weighted Citation Impact
0.00

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Analysis of snow depth distribution focusing on vegetation and topographic features in Japan

Tomohito J. YAMADA, Takaharu KAKINUMA, Shigeru Mizugaki, Yokoyama Hiroshi et al.
Hydrological Research Letters
Cryospheric studies and observations
article

Analysis of snow depth distribution focusing on vegetation and topographic features in Japan

Tomohito J. YAMADA, Takaharu KAKINUMA, Shigeru Mizugaki, Yokoyama Hiroshi, Takashi Yamada
article en

Abstract

Airborne laser scanning technology has become widely used and has made it possible to measure the height of a wide range of ground surfaces. In this study, we conducted a basic analysis of the relationship between snow depth and vegetation/topographic features using airborne laser scanning in the northernmost island of Japan, Hokkaido. The vegetation was differentiated between forest areas and non-forest areas, and topographic features such as elevation, overground-openness, slope angle, and slope aspect were selected for analysis. As a result, trends in spatial variability of snow depth differed significantly between forest and non-forest areas, clearly confirming the influence of vegetation. Spatial variability was relatively smaller inside the forest than outside the forest. In terms of topographic features, a clear relationship with overground-openness and slope aspect (non-forest only) was found. We also confirmed that our findings are generally consistent in quantitative terms with those of previous studies, showing that the spatial heterogeneity of snow depth is smaller in forest areas and greater in non-forest areas.

Hydrological Research LettersVol. 19(2)
Hokkaido University (JP), Civil Engineering Research Institute for Cold Region (JP), Public Works Research Institute (JP)
Ministry of Land, Infrastructure, Transport and Tourism
Climate action
Openalex Percentile: Top 89%
Cryospheric studies and observations
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