Articles | Volume 10, issue 1
https://doi.org/10.5194/tc-10-257-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/tc-10-257-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
28 Jan 2016
Research article |
| 28 Jan 2016
Topographic and vegetation effects on snow accumulation in the southern Sierra Nevada: a statistical summary from lidar data
Department of Civil and Environmental Engineering, UC Berkeley, Berkeley, CA, USA
P. B. Kirchner
Joint Institute for Regional Earth System Science and Engineering, Pasadena, CA, USA
Southwest Alaska Network, National Park Service, Anchorage, AK, USA
R. C. Bales
Department of Civil and Environmental Engineering, UC Berkeley, Berkeley, CA, USA
Sierra Nevada Research Institute, UC Merced, Merced, CA, USA
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Cited
49 citations as recorded by crossref.
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- Gap-filling snow-depth time-series with Kalman Filtering-Smoothing and Expectation Maximization: Proof of concept using spatially dense wireless-sensor-network data F. Avanzi et al. 10.1016/j.coldregions.2020.103066
- A particle filter scheme for multivariate data assimilation into a point-scale snowpack model in an Alpine environment G. Piazzi et al. 10.5194/tc-12-2287-2018
- Topographic and vegetation controls of the spatial distribution of snow depth in agro-forested environments by UAV lidar V. Dharmadasa et al. 10.5194/tc-17-1225-2023
- Spatial and temporal variation of bulk snow properties in northern boreal and tundra environments based on extensive field measurements H. Hannula et al. 10.5194/gi-5-347-2016
- A STUDY ON SNOW DEPTH DISTRIBUTION ON WINDWARD SLOPE AND LEEWARD SLOPE USING AIRBORNE LASER SCANNING T. NISHIHARA & A. TANISE 10.2208/jscejhe.74.I_883
- The impact of changing subcanopy radiation on snowmelt in a disturbed coniferous forest O. Hotovy & M. Jenicek 10.1002/hyp.13936
- Evaluating the Effects of UAS Flight Speed on Lidar Snow Depth Estimation in a Heterogeneous Landscape F. Sullivan et al. 10.3390/rs15215091
- A Brief Review of Random Forests for Water Scientists and Practitioners and Their Recent History in Water Resources H. Tyralis et al. 10.3390/w11050910
- Comparing Aerial Lidar Observations With Terrestrial Lidar and Snow‐Probe Transects From NASA's 2017 SnowEx Campaign W. Currier et al. 10.1029/2018WR024533
- Comparing MODIS snow products Collection 5 with Collection 6 over Italian Central Apennines P. Da Ronco et al. 10.1080/01431161.2020.1714778
- Water balance for gaged watersheds in the Central Sierra Nevada, California and Nevada, United States J. Roche et al. 10.3389/ffgc.2022.861711
- Extending classical geochemical weathering studies through the mountain block: The effect of increasing scale on geochemical evolution in the Sierra Nevada (CA) Z. Meyers et al. 10.1016/j.chemgeo.2022.120831
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- Spatial Distribution and Scaling Properties of Lidar‐Derived Snow Depth in the Extratropical Andes P. Mendoza et al. 10.1029/2020WR028480
- Modeling Spatial Distribution of Snow Water Equivalent by Combining Meteorological and Satellite Data with Lidar Maps U. Mital et al. 10.1175/AIES-D-22-0010.1
- Revisiting Snow Cover Variability and Canopy Structure Within Forest Stands: Insights From Airborne Lidar Data G. Mazzotti et al. 10.1029/2019WR024898
- Spatial snow water equivalent estimation for mountainous areas using wireless-sensor networks and remote-sensing products Z. Zheng et al. 10.1016/j.rse.2018.05.029
- Tree canopy and snow depth relationships at fine scales with terrestrial laser scanning A. Hojatimalekshah et al. 10.5194/tc-15-2187-2021
- Optimizing embedded sensor network design for catchment-scale snow-depth estimation using LiDAR and machine learning C. Oroza et al. 10.1002/2016WR018896
- Snowpack Distribution Using Topographical, Climatological and Winter Season Index Inputs D. Hultstrand et al. 10.3390/atmos13010003
- Investigating hydrological recovery in regenerating coniferous stands in snow‐dominated watersheds using simultaneous localization and mapping‐enabled mobile terrestrial LiDAR C. Potter et al. 10.1002/hyp.15247
- An evaluation of terrain‐based downscaling of fractional snow covered area data sets based on LiDAR‐derived snow data and orthoimagery N. Cristea et al. 10.1002/2017WR020799
- Snow hydrology in Mediterranean mountain regions: A review A. Fayad et al. 10.1016/j.jhydrol.2017.05.063
- Assessment of snow cover mapping algorithms from Landsat surface reflectance data and application to automated snowline delineation X. Xiao & S. Liang 10.1016/j.rse.2024.114163
- Evaluation of temporal consistency of snow depth drivers of a Rocky Mountain watershed in southern Alberta K. Cartwright et al. 10.1002/hyp.13920
- Regional sensitivities of seasonal snowpack to elevation, aspect, and vegetation cover in western North America C. Tennant et al. 10.1002/2016WR019374
- An Overview of Snow Water Equivalent: Methods, Challenges, and Future Outlook M. Taheri & A. Mohammadian 10.3390/su141811395
- Snow Depth Patterns in a High Mountain Andean Catchment from Satellite Optical Tristereoscopic Remote Sensing T. Shaw et al. 10.1029/2019WR024880
- Research on a Single-Tree Point Cloud Segmentation Method Based on UAV Tilt Photography and Deep Learning Algorithm X. Hu & D. Li 10.1109/JSTARS.2020.3008918
- Random forests as a tool to understand the snow depth distribution and its evolution in mountain areas J. Revuelto et al. 10.1002/hyp.13951
- Snow depth mapping with unpiloted aerial system lidar observations: a case study in Durham, New Hampshire, United States J. Jacobs et al. 10.5194/tc-15-1485-2021
- Snow Depth Variability at the Forest Edge in Multiple Climates in the Western United States W. Currier & J. Lundquist 10.1029/2018WR022553
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- Unraveling the Controls on Snow Disappearance in Montane Conifer Forests Using Multi‐Site Lidar H. Safa et al. 10.1029/2020WR027522
- Landsat, MODIS, and VIIRS snow cover mapping algorithm performance as validated by airborne lidar datasets T. Stillinger et al. 10.5194/tc-17-567-2023
- Canopy Effects on Snow Accumulation: Observations from Lidar, Canonical-View Photos, and Continuous Ground Measurements from Sensor Networks Z. Zheng et al. 10.3390/rs10111769
- Improving sub-canopy snow depth mapping with unmanned aerial vehicles: lidar versus structure-from-motion techniques P. Harder et al. 10.5194/tc-14-1919-2020
- Watershed-scale mapping of fractional snow cover under conifer forest canopy using lidar T. Kostadinov et al. 10.1016/j.rse.2018.11.037
- Machine Learning Based Imputation of Mountain Snowpack Depth within an Operational LiDAR Sampling Framework in Southwest Alberta K. Cartwright et al. 10.1080/07038992.2021.1988540
- Exploring snow distribution dynamics in steep forested slopes with UAV-borne LiDAR K. Koutantou et al. 10.1016/j.coldregions.2022.103587
- A new interpolation method to resolve under-sampling of UAV-lidar snow depth observations in coniferous forests V. Dharmadasa et al. 10.1016/j.coldregions.2024.104134
- The Seasonal Snow Cover Dynamics: Review on Wind-Driven Coupling Processes R. Mott et al. 10.3389/feart.2018.00197
- Spatially distributed water-balance and meteorological data from the Wolverton catchment, Sequoia National Park, California R. Bales et al. 10.5194/essd-10-2115-2018
- Snow modulates winter energy use and cold exposure across an elevation gradient in a montane ectotherm K. Roberts et al. 10.1111/gcb.15912
- Integrating snow science and wildlife ecology in Arctic-boreal North America N. Boelman et al. 10.1088/1748-9326/aaeec1
- Spatio‐temporal analysis of snow depth and snow water equivalent in a mountainous catchment: Insights from in‐situ observations and statistical modelling T. Çitgez et al. 10.1002/hyp.15260
- Snow Multidata Mapping and Modeling (S3M) 5.1: a distributed cryospheric model with dry and wet snow, data assimilation, glacier mass balance, and debris-driven melt F. Avanzi et al. 10.5194/gmd-15-4853-2022
- Influence of forest canopy structure and wind flow on patterns of sub‐canopy snow accumulation in montane needleleaf forests J. Staines & J. Pomeroy 10.1002/hyp.15005
48 citations as recorded by crossref.
- Change in Vegetation Patterns Over a Large Forested Landscape Based on Historical and Contemporary Aerial Photography J. Lydersen & B. Collins 10.1007/s10021-018-0225-5
- Gap-filling snow-depth time-series with Kalman Filtering-Smoothing and Expectation Maximization: Proof of concept using spatially dense wireless-sensor-network data F. Avanzi et al. 10.1016/j.coldregions.2020.103066
- A particle filter scheme for multivariate data assimilation into a point-scale snowpack model in an Alpine environment G. Piazzi et al. 10.5194/tc-12-2287-2018
- Topographic and vegetation controls of the spatial distribution of snow depth in agro-forested environments by UAV lidar V. Dharmadasa et al. 10.5194/tc-17-1225-2023
- Spatial and temporal variation of bulk snow properties in northern boreal and tundra environments based on extensive field measurements H. Hannula et al. 10.5194/gi-5-347-2016
- A STUDY ON SNOW DEPTH DISTRIBUTION ON WINDWARD SLOPE AND LEEWARD SLOPE USING AIRBORNE LASER SCANNING T. NISHIHARA & A. TANISE 10.2208/jscejhe.74.I_883
- The impact of changing subcanopy radiation on snowmelt in a disturbed coniferous forest O. Hotovy & M. Jenicek 10.1002/hyp.13936
- Evaluating the Effects of UAS Flight Speed on Lidar Snow Depth Estimation in a Heterogeneous Landscape F. Sullivan et al. 10.3390/rs15215091
- A Brief Review of Random Forests for Water Scientists and Practitioners and Their Recent History in Water Resources H. Tyralis et al. 10.3390/w11050910
- Comparing Aerial Lidar Observations With Terrestrial Lidar and Snow‐Probe Transects From NASA's 2017 SnowEx Campaign W. Currier et al. 10.1029/2018WR024533
- Comparing MODIS snow products Collection 5 with Collection 6 over Italian Central Apennines P. Da Ronco et al. 10.1080/01431161.2020.1714778
- Water balance for gaged watersheds in the Central Sierra Nevada, California and Nevada, United States J. Roche et al. 10.3389/ffgc.2022.861711
- Extending classical geochemical weathering studies through the mountain block: The effect of increasing scale on geochemical evolution in the Sierra Nevada (CA) Z. Meyers et al. 10.1016/j.chemgeo.2022.120831
- An Accuracy Assessment of Snow Depth Measurements in Agro-Forested Environments by UAV Lidar V. Dharmadasa et al. 10.3390/rs14071649
- Spatial Distribution and Scaling Properties of Lidar‐Derived Snow Depth in the Extratropical Andes P. Mendoza et al. 10.1029/2020WR028480
- Modeling Spatial Distribution of Snow Water Equivalent by Combining Meteorological and Satellite Data with Lidar Maps U. Mital et al. 10.1175/AIES-D-22-0010.1
- Revisiting Snow Cover Variability and Canopy Structure Within Forest Stands: Insights From Airborne Lidar Data G. Mazzotti et al. 10.1029/2019WR024898
- Spatial snow water equivalent estimation for mountainous areas using wireless-sensor networks and remote-sensing products Z. Zheng et al. 10.1016/j.rse.2018.05.029
- Tree canopy and snow depth relationships at fine scales with terrestrial laser scanning A. Hojatimalekshah et al. 10.5194/tc-15-2187-2021
- Optimizing embedded sensor network design for catchment-scale snow-depth estimation using LiDAR and machine learning C. Oroza et al. 10.1002/2016WR018896
- Snowpack Distribution Using Topographical, Climatological and Winter Season Index Inputs D. Hultstrand et al. 10.3390/atmos13010003
- Investigating hydrological recovery in regenerating coniferous stands in snow‐dominated watersheds using simultaneous localization and mapping‐enabled mobile terrestrial LiDAR C. Potter et al. 10.1002/hyp.15247
- An evaluation of terrain‐based downscaling of fractional snow covered area data sets based on LiDAR‐derived snow data and orthoimagery N. Cristea et al. 10.1002/2017WR020799
- Snow hydrology in Mediterranean mountain regions: A review A. Fayad et al. 10.1016/j.jhydrol.2017.05.063
- Assessment of snow cover mapping algorithms from Landsat surface reflectance data and application to automated snowline delineation X. Xiao & S. Liang 10.1016/j.rse.2024.114163
- Evaluation of temporal consistency of snow depth drivers of a Rocky Mountain watershed in southern Alberta K. Cartwright et al. 10.1002/hyp.13920
- Regional sensitivities of seasonal snowpack to elevation, aspect, and vegetation cover in western North America C. Tennant et al. 10.1002/2016WR019374
- An Overview of Snow Water Equivalent: Methods, Challenges, and Future Outlook M. Taheri & A. Mohammadian 10.3390/su141811395
- Snow Depth Patterns in a High Mountain Andean Catchment from Satellite Optical Tristereoscopic Remote Sensing T. Shaw et al. 10.1029/2019WR024880
- Research on a Single-Tree Point Cloud Segmentation Method Based on UAV Tilt Photography and Deep Learning Algorithm X. Hu & D. Li 10.1109/JSTARS.2020.3008918
- Random forests as a tool to understand the snow depth distribution and its evolution in mountain areas J. Revuelto et al. 10.1002/hyp.13951
- Snow depth mapping with unpiloted aerial system lidar observations: a case study in Durham, New Hampshire, United States J. Jacobs et al. 10.5194/tc-15-1485-2021
- Snow Depth Variability at the Forest Edge in Multiple Climates in the Western United States W. Currier & J. Lundquist 10.1029/2018WR022553
- Canopy and Terrain Interactions Affecting Snowpack Spatial Patterns in the Sierra Nevada of California Z. Zheng et al. 10.1029/2018WR023758
- Unraveling the Controls on Snow Disappearance in Montane Conifer Forests Using Multi‐Site Lidar H. Safa et al. 10.1029/2020WR027522
- Landsat, MODIS, and VIIRS snow cover mapping algorithm performance as validated by airborne lidar datasets T. Stillinger et al. 10.5194/tc-17-567-2023
- Canopy Effects on Snow Accumulation: Observations from Lidar, Canonical-View Photos, and Continuous Ground Measurements from Sensor Networks Z. Zheng et al. 10.3390/rs10111769
- Improving sub-canopy snow depth mapping with unmanned aerial vehicles: lidar versus structure-from-motion techniques P. Harder et al. 10.5194/tc-14-1919-2020
- Watershed-scale mapping of fractional snow cover under conifer forest canopy using lidar T. Kostadinov et al. 10.1016/j.rse.2018.11.037
- Machine Learning Based Imputation of Mountain Snowpack Depth within an Operational LiDAR Sampling Framework in Southwest Alberta K. Cartwright et al. 10.1080/07038992.2021.1988540
- Exploring snow distribution dynamics in steep forested slopes with UAV-borne LiDAR K. Koutantou et al. 10.1016/j.coldregions.2022.103587
- A new interpolation method to resolve under-sampling of UAV-lidar snow depth observations in coniferous forests V. Dharmadasa et al. 10.1016/j.coldregions.2024.104134
- The Seasonal Snow Cover Dynamics: Review on Wind-Driven Coupling Processes R. Mott et al. 10.3389/feart.2018.00197
- Spatially distributed water-balance and meteorological data from the Wolverton catchment, Sequoia National Park, California R. Bales et al. 10.5194/essd-10-2115-2018
- Snow modulates winter energy use and cold exposure across an elevation gradient in a montane ectotherm K. Roberts et al. 10.1111/gcb.15912
- Integrating snow science and wildlife ecology in Arctic-boreal North America N. Boelman et al. 10.1088/1748-9326/aaeec1
- Spatio‐temporal analysis of snow depth and snow water equivalent in a mountainous catchment: Insights from in‐situ observations and statistical modelling T. Çitgez et al. 10.1002/hyp.15260
- Snow Multidata Mapping and Modeling (S3M) 5.1: a distributed cryospheric model with dry and wet snow, data assimilation, glacier mass balance, and debris-driven melt F. Avanzi et al. 10.5194/gmd-15-4853-2022
Saved (final revised paper)
Latest update: 13 Dec 2024
Short summary
By analyzing high-resolution lidar products and using statistical methods, we quantified the snow depth dependency on elevation, slope and aspect of the terrain and also the surrounding vegetation in four catchment size sites in the southern Sierra Nevada during snow peak season. The relative importance of topographic and vegetation attributes varies with elevation and canopy, but all these attributes were found significant in affecting snow distribution in mountain basins.
By analyzing high-resolution lidar products and using statistical methods, we quantified the...
