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Automatic Grain Type Classification of Snow Micro Penetrometer Signals With Random Forests
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1016/j.coldregions.2006.08.008openalex-snapshot
Snow stratigraphy measurements with high-frequency FMCW radar: Comparison with snow micro-penetrometer
inferredcites →https://doi.org/10.1016/j.coldregions.2008.09.003openalex-snapshot
Preliminary characterization of Alpine snow using SnowMicroPen
inferredcites →https://doi.org/10.1016/j.coldregions.2009.06.005openalex-snapshot
Rutschblock-scale snowpack stability derived from multiple quality-controlled SnowMicroPen measurements
inferredcites →https://doi.org/10.1016/j.coldregions.2010.08.013openalex-snapshot
Measuring spatial variations of weak layer and slab properties with regard to snow slope stability
inferredcites →https://doi.org/10.1016/j.ecolmodel.2007.05.011openalex-snapshot
Random forests as a tool for ecohydrological distribution modelling
inferredcites →https://doi.org/10.1016/j.patrec.2005.08.011openalex-snapshot
Random Forests for land cover classification
inferredcites →https://doi.org/10.1016/j.rse.2008.09.005openalex-snapshot
Benchmarking classifiers to optimally integrate terrain analysis and multispectral remote sensing in automatic rock glacier detection
inferredcites →https://doi.org/10.1016/s0165-232x(03)00079-xopenalex-snapshot
Stratigraphy and changes in hardness of snow measured by hand, ramsonde and snow micro penetrometer: a comparison with planar sections
inferredcites →https://doi.org/10.1016/s0165-232x(99)00013-0openalex-snapshot
Characterizing the microstructural and micromechanical properties of snow
inferredcites →https://doi.org/10.1029/2009jf001269openalex-snapshot
Accurate inversion of high‐resolution snow penetrometer signals for microstructural and micromechanical properties
inferredcites →https://doi.org/10.1109/igarss.2003.1294837openalex-snapshot
Random forests for land cover classification
inferredcites →https://doi.org/10.1109/jproc.2009.2038947openalex-snapshot
Cold Regions Hydrology High-Resolution Observatory for Snow and Cold Land Processes
inferredcites →https://doi.org/10.1109/tgrs.2008.916221openalex-snapshot
Quantifying Uncertainty in Modeling Snow Microwave Radiance for a Mountain Snowpack at the Point-Scale, Including Stratigraphic Effects
inferredcites →https://doi.org/10.1109/tgrs.2009.2022945openalex-snapshot
Airborne Ku-Band Polarimetric Radar Remote Sensing of Terrestrial Snow Cover
inferredcites →https://doi.org/10.1111/j.1477-9730.2007.00432_1.xopenalex-snapshot
Remote Sensing Of Snow and Ice
inferredcites →https://doi.org/10.1111/j.1752-1688.2008.00227.xopenalex-snapshot
Application of Satellite Microwave Images in Estimating Snow Water Equivalent1
inferredcites →https://doi.org/10.1175/2008jhm909.1openalex-snapshot
Multimodel Estimation of Snow Microwave Emission during CLPX 2003 Using Operational Parameterization of Microphysical Snow Characteristics
inferredcites →https://doi.org/10.1186/1471-2105-11-364openalex-snapshot
Automatic structure classification of small proteins using random forest
inferredcites →https://doi.org/10.21236/ada330695openalex-snapshot
Snow Mechanics: Review of the State of Knowledge and Applications,
inferredcites →https://doi.org/10.3189/002214309790152582openalex-snapshot
Stability algorithm for snow micro-penetrometer measurements
inferredcites →https://doi.org/10.3189/1998aog26-1-107-111openalex-snapshot
A constant-speed penetrometer for high-resolution snow stratigraphy
inferredcites →https://doi.org/10.3390/s8053482openalex-snapshot
Reflectance Modeling for Real Snow Structures Using a Beam Tracing Model
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.2139/ssrn.4760925openalex-extracted
How Strong is Snow? Spatial Correlations of Snowpack Microparameters on Grand Mesa, Colorado from Nasa Snowex Snowmicropen Data
inferred← citeshttps://doi.org/10.1002/2014jf003266openalex-snapshot
Density, specific surface area, and correlation length of snow measured by high‐resolution penetrometry
inferred← citeshttps://doi.org/10.1002/2015rg000481openalex-snapshot
Measurement of the physical properties of the snowpack
inferred← citeshttps://doi.org/10.1002/9781118368909.ch14openalex-snapshot
Field measurements for remote sensing of the cryosphere
inferred← citeshttps://doi.org/10.1002/hyp.13951openalex-snapshot
Random forests as a tool to understand the snow depth distribution and its evolution in mountain areas
inferred← citeshttps://doi.org/10.1007/978-3-319-02961-0_57openalex-snapshot
Head Pose Estimation with Improved Random Regression Forests
inferred← citeshttps://doi.org/10.1007/s10489-021-02472-6openalex-snapshot
Estate price prediction system based on temporal and spatial features and lightweight deep learning model
inferred← citeshttps://doi.org/10.1007/s12524-023-01779-wopenalex-snapshot
Urban Forest Cover and LST Change Monitoring Through Optical and Thermal Remote Sensing Approach
inferred← citeshttps://doi.org/10.1016/b978-0-12-394849-6.00002-0openalex-snapshot
Physical, Thermal, and Mechanical Properties of Snow, Ice, and Permafrost
inferred← citeshttps://doi.org/10.1016/b978-0-12-409548-9.10358-6openalex-snapshot
Snow Properties From Passive Microwave
inferred← citeshttps://doi.org/10.1016/b978-0-12-817129-5.00007-xopenalex-snapshot
Physical, thermal, and mechanical properties of snow, ice, and permafrost
inferred← citeshttps://doi.org/10.1016/b978-0-443-13220-9.00036-6openalex-snapshot
Snow Depth and Water Equivalent From Passive Microwave
inferred← citeshttps://doi.org/10.1016/j.chemosphere.2022.136092openalex-snapshot
Recent advances in the application of machine learning methods to improve identification of the microplastics in environment
inferred← citeshttps://doi.org/10.1016/j.coldregions.2013.10.008openalex-snapshot
Measurements of the deformation zone around a split-axis snow micropenetrometer tip
inferred← citeshttps://doi.org/10.1016/j.coldregions.2024.104369openalex-snapshot
How strong is Snow? Spatial correlations of snowpack load bearing capacity and micromechanics from NASA SnowEx SnowMicroPen Data at Grand Mesa, Colorado
inferred← citeshttps://doi.org/10.1016/j.rse.2014.09.016openalex-snapshot
Simulating seasonally and spatially varying snow cover brightness temperature using HUT snow emission model and retrieval of a microwave effective grain size
inferred← citeshttps://doi.org/10.1080/07038992.2014.979486openalex-snapshot
Study and Validation of a Remote Sensing Model for Coal Extraction Based on Reflectance Spectrum Features
inferred← citeshttps://doi.org/10.1093/obo/9780199874002-0225openalex-snapshot
Measurement of Terrestrial Snow
inferred← citeshttps://doi.org/10.1109/igarss.2017.8127221openalex-snapshot
Snowpack time-series ground truth via a low-power datalogger
inferred← citeshttps://doi.org/10.1109/jstars.2025.3606691openalex-snapshot
GF-ResFormer: A Hybrid Gabor-Fourier ResNet-Transformer Network for Precise Semantic Segmentation of High-Resolution Remote Sensing Imagery
inferred← citeshttps://doi.org/10.1109/tgrs.2015.2493505openalex-snapshot
Differences Between the HUT Snow Emission Model and MEMLS and Their Effects on Brightness Temperature Simulation
inferred← citeshttps://doi.org/10.1109/tits.2015.2413812openalex-snapshot
Automated Detection of Urban Road Manhole Covers Using Mobile Laser Scanning Data
inferred← citeshttps://doi.org/10.1117/1.jrs.10.035021openalex-snapshot
Land cover classification using random forest with genetic algorithm-based parameter optimization
inferred← citeshttps://doi.org/10.5194/gmd-16-4521-2023openalex-snapshot
Automatic snow type classification of snow micropenetrometer profiles with machine learning algorithms
inferred← citeshttps://doi.org/10.5194/tc-14-4323-2020openalex-snapshot
Local-scale variability of snow density on Arctic sea ice
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