Assessment of Satellite Altimetric and Compact Polarimetric SAR Parameters Over Early Spring Snow-Covered Landfast Sea Ice in the Canadian Arctic

The snow cover on first-year sea ice is a critically under-observed parameter in the Arctic sea ice system, recognized by the World Meteorological Organization as an Essential Climate Variable due to its influence on energy exchange between the atmosphere and ocean through turbulent, radiative, and conductive processes. Measurements of snow properties are limited but present and future satellite missions provide opportunities for regular and continuous monitoring. This study explores the sub km- to km-scale spatial association between in-situ snow depth measurements, Cryo2ice satellite altimetric measurements and RADARSAT Constellation Misson compact polarimetric (CP) synthetic aperture radar (SAR) parameters over snow-covered landfast first-year sea ice in the Canadian Arctic Archipelago. In-situ snow depth measurements were collected at four unique sites along a 75 km track of near-coincidental Cryo2ice acquisitions in early spring 2022. We find that the Cryo2ice-retrived elevation difference (altimetric snow depth) can provide an estimate of snow depth on sea ice that is within one standard deviation (∼6 to 14 cm) of the in-situ measured values, particularly where the snow salinity is concentrated in the basal snow layer (bottom 2 cm). A statistically significant correlation (-0.77 to -0.85; p<0.01) is found between CP SAR backscatter coefficients at C-band and altimetric backscatter coefficients at Ku-band, particularly where there is low snow depth and smooth ice surface topography. Inconsistent statistical relationships are found between altimetric snow depth and CP SAR backscatter parameters that vary with snow and ice topography observed at the in-situ measurement sites.

Authors

Institutions

Publication Details

Journal
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Published
2025-01-01
DOI
https://doi.org/10.1109/jstars.2025.3595821
Primary Topic
Arctic and Antarctic ice dynamics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Assessment of Satellite Altimetric and Compact Polarimetric SAR Parameters Over Early Spring Snow-Covered Landfast Sea Ice in the Canadian Arctic

Stephen Howell, Torsten Geldsetzer, Monojit Saha, Julienne Strœve et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Arctic and Antarctic ice dynamics
article

Assessment of Satellite Altimetric and Compact Polarimetric SAR Parameters Over Early Spring Snow-Covered Landfast Sea Ice in the Canadian Arctic

Stephen Howell, Torsten Geldsetzer, Monojit Saha, Julienne Strœve, Hoi Ming Lam, John Yackel
article en

Abstract

The snow cover on first-year sea ice is a critically under-observed parameter in the Arctic sea ice system, recognized by the World Meteorological Organization as an Essential Climate Variable due to its influence on energy exchange between the atmosphere and ocean through turbulent, radiative, and conductive processes. Measurements of snow properties are limited but present and future satellite missions provide opportunities for regular and continuous monitoring. This study explores the sub km- to km-scale spatial association between in-situ snow depth measurements, Cryo2ice satellite altimetric measurements and RADARSAT Constellation Misson compact polarimetric (CP) synthetic aperture radar (SAR) parameters over snow-covered landfast first-year sea ice in the Canadian Arctic Archipelago. In-situ snow depth measurements were collected at four unique sites along a 75 km track of near-coincidental Cryo2ice acquisitions in early spring 2022. We find that the Cryo2ice-retrived elevation difference (altimetric snow depth) can provide an estimate of snow depth on sea ice that is within one standard deviation (∼6 to 14 cm) of the in-situ measured values, particularly where the snow salinity is concentrated in the basal snow layer (bottom 2 cm). A statistically significant correlation (-0.77 to -0.85; p<0.01) is found between CP SAR backscatter coefficients at C-band and altimetric backscatter coefficients at Ku-band, particularly where there is low snow depth and smooth ice surface topography. Inconsistent statistical relationships are found between altimetric snow depth and CP SAR backscatter parameters that vary with snow and ice topography observed at the in-situ measurement sites.

IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingVol. 18
Environment and Climate Change Canada (CA), University of Calgary (CA), University of Manitoba (CA)
Life below water
Openalex Percentile: Top 76%
Arctic and Antarctic ice dynamics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.