Snow depth mapping from stereo satellite imagery in mountainous terrain: evaluation using airborne laser-scanning data [PDF]
The Cryosphere, 2020 Accurate knowledge of snow depth distributions in mountain catchments is critical for applications in hydrology and ecology. Recently, a method was proposed to map snow depth at meter-scale resolution from very-high-resolution stereo satellite imagery (e.
C. Deschamps-Berger +9 more
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Spatial snow water equivalent estimation for mountainous areas using wireless-sensor networks and remote-sensing products [PDF]
, 2018 We developed an approach to estimate snow water equivalent (SWE) through interpolation of spatially representative point measurements using a k-nearest neighbors (k-NN) algorithm and historical spatial SWE data.
Bales, RC +4 more
core +1 more source
Distribution of snow depth variability
Frontiers of Earth Science, 2018 Snow depth is the easiest snowpack property to measure in the field and is used to estimate the distribution of snow for quantifying snow storage. Often the mean of three snow depth measurements is used to represent snow depth at a location. This location is used as a proxy for an area, typically a digital elevation model (DEM) or remotely sensed pixel.
Fassnacht, S. R. +8 more
openaire +2 more sources
Remote Sensing, 2022 Arctic sea ice and snow affect the energy balance of the global climate system through the radiation budget. Accurate determination of the snow cover over Arctic sea ice is significant for the retrieval of the sea ice thickness (SIT).
Zhaoqing Dong +3 more
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Plant phenology and seasonal nitrogen availability in Arctic snowbed communities [PDF]
, 2006 Thesis (M.S.) University of Alaska Fairbanks, 2006This study was part of the International Tundra Experiment (ITEX) and examined the effects of increased winter snow depth and decreased growing season length on the phenology of four arctic plant species (
Borner, Andrew P.
core
Interannual variability and trends in winter weather and snow conditions in Finnish Lapland [PDF]
, 2017 The interannual variability of the air temperature, precipitation and snow conditions were examined in the Finnish Arctic region based on data from the period 1946-2012.
Järvinen, Onni +2 more
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Modeling bulk density and snow water equivalent using daily snow depth observations [PDF]
The Cryosphere, 2013 Abstract. Bulk density is a fundamental property of snow relating its depth and mass. Previously, two simple models of bulk density (depending on snow depth, date, and location) have been developed to convert snow depth observations to snow water equivalent (SWE) estimates. However, these models were not intended for application at the daily time step.
J. L. McCreight, E. E. Small
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Snow Depth Retrieval on Arctic Sea Ice Using Under-Ice Hyperspectral Radiation Measurements
Frontiers in Earth Science, 2021 Radiation transmitted through sea ice and snow has an important impact on the energy partitioning at the atmosphere-ice-ocean interface. Snow depth and ice thickness are crucial in determining its temporal and spatial variations.
Philipp Anhaus +6 more
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Studies on Physical Properties of Snow Based on Multi Channel Microwave Radiometer [PDF]
, 1985 The analysis of the data observed over a snow field with a breadboard model of MSR (microwave scanning radiometer) to be installed in MOS-1 (Marine Observation Satellite-1) indicates that: (1) the influence of incident angle on brightness temperature is ...
Takeda, K., Tsuchiya, K.
core +1 more source
Micrometeorological processes driving snow ablation in an Alpine catchment [PDF]
, 2011 Mountain snow covers typically become patchy over the course of a melting season. The snow pattern during melt is mainly governed by the end of winter snow depth distribution and the local energy balance.
Bavay, M. +6 more
core +2 more sources