Investigating the Relationships Between Canopy Characteristics and Snow Depth Distribution at Fine Scales: Preliminary Results from the SnowEX TLS Campaign

Zachary R. Uhlmann; Lucas Spaete; Nancy Glenn; H. P. Marshall; Jim McNamara

Investigating the Relationships Between Canopy Characteristics and Snow Depth Distribution at Fine Scales: Preliminary Results from the SnowEX TLS Campaign

Zachary R. Uhlmann, Lucas Spaete, Nancy Glenn, H. P. Marshall, Jim McNamara

Boise State University

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Abstract

In temperate, mountainous regions across the world, upwards of 60% of seasonal surface water is stored in the snowpack. In forested areas, characterizing the effect of forest structure on the spatial distribution of snow can provide insight into hydrological modelling efforts, and forest management decisions. Just as snow drifts and scours correspond to underlying topography, wind redistribution can create patterns in snow distribution which reflect the surrounding canopy structure. Using variables derived from terrestrial laser scans collected in Grand Mesa, Colorado, the effect of forest structure and topography on snow depth is analyzed statistically.

Original language	American English
State	Published - 12 Apr 2018

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Investigating the Relationships Between Canopy Characteristics anFinal published version, 1.97 MBLicense: Unspecified
Investigating the Relationships Between Canopy Characteristics anFinal published version, 1.97 MBLicense: Unspecified

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title = "Investigating the Relationships Between Canopy Characteristics and Snow Depth Distribution at Fine Scales: Preliminary Results from the SnowEX TLS Campaign",

abstract = " In temperate, mountainous regions across the world, upwards of 60% of seasonal surface water is stored in the snowpack. In forested areas, characterizing the effect of forest structure on the spatial distribution of snow can provide insight into hydrological modelling efforts, and forest management decisions. Just as snow drifts and scours correspond to underlying topography, wind redistribution can create patterns in snow distribution which reflect the surrounding canopy structure. Using variables derived from terrestrial laser scans collected in Grand Mesa, Colorado, the effect of forest structure and topography on snow depth is analyzed statistically.",

author = "Uhlmann, {Zachary R.} and Lucas Spaete and Nancy Glenn and Marshall, {H. P.} and Jim McNamara",

year = "2018",

month = apr,

day = "12",

language = "American English",

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TY - CONF

T1 - Investigating the Relationships Between Canopy Characteristics and Snow Depth Distribution at Fine Scales: Preliminary Results from the SnowEX TLS Campaign

AU - Uhlmann, Zachary R.

AU - Spaete, Lucas

AU - Glenn, Nancy

AU - Marshall, H. P.

AU - McNamara, Jim

PY - 2018/4/12

Y1 - 2018/4/12

N2 - In temperate, mountainous regions across the world, upwards of 60% of seasonal surface water is stored in the snowpack. In forested areas, characterizing the effect of forest structure on the spatial distribution of snow can provide insight into hydrological modelling efforts, and forest management decisions. Just as snow drifts and scours correspond to underlying topography, wind redistribution can create patterns in snow distribution which reflect the surrounding canopy structure. Using variables derived from terrestrial laser scans collected in Grand Mesa, Colorado, the effect of forest structure and topography on snow depth is analyzed statistically.

AB - In temperate, mountainous regions across the world, upwards of 60% of seasonal surface water is stored in the snowpack. In forested areas, characterizing the effect of forest structure on the spatial distribution of snow can provide insight into hydrological modelling efforts, and forest management decisions. Just as snow drifts and scours correspond to underlying topography, wind redistribution can create patterns in snow distribution which reflect the surrounding canopy structure. Using variables derived from terrestrial laser scans collected in Grand Mesa, Colorado, the effect of forest structure and topography on snow depth is analyzed statistically.

UR - https://scholarworks.boisestate.edu/gss_2018/2

M3 - Presentation

ER -

Investigating the Relationships Between Canopy Characteristics and Snow Depth Distribution at Fine Scales: Preliminary Results from the SnowEX TLS Campaign

Abstract

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