Abstract

RADARSAT and ERS-2 data collected at multiple incidence angles are used to characterize the seasonal variations in the backscatter of snow-covered landscapes in the northern Hudson Bay Lowlands during the winters of 1997/98 and 1998/99. The study evaluates the usefulness of C-band SAR systems for retrieving the snow water equivalent under dry snow conditions in the forest–tundra ecotone. The backscatter values are compared against ground measurements at six sampling sites, which are taken to be representative of the land-cover types found in the region. The contribution of dry snow to the radar return is evident when frost penetrates the first 20 cm of soil. Only then does the backscatter respond positively to changes in snow water equivalent, at least in the open and forested areas near the coast, where 1-dB increases in backscatter for each approximate 5–10 mm of accumulated water equivalent are observed at 20–31° incidence angles. Further inland, the backscatter shows either no change or a negative change with snow accumulation, which suggests that the radar signal there is dominated by ground surface scattering (e.g., fen) when not attenuated by vegetation (e.g., forested and transition). With high-frequency ground-penetrating radar, we demonstrate the presence of a 10–20-cm layer of black ice underneath the snow cover, which causes the reduced radar returns (−15 dB and less) observed in the inland fen. A correlation between the backscattering and the snow water equivalent cannot be determined due to insufficient observations at similar incidence angles. To establish a relationship between the snow water equivalent and the backscatter, only images acquired with similar incidence angles should be used, and they must be corrected for both vegetation and ground effects.

Highlights

  • Conventional snow measurements, which are sporadically taken in situ, do not meet the spatial requirements for the reproduction of the seasonal behavior of snowpack in hydrological models.Satellite remote sensing data, those acquired in the active microwave portion of the electromagnetic spectrum, can improve the monitoring of snow-covered surfaces over continuous space-time scales

  • The total backscattered signal from the snow-covered terrain consists of surface and volume contributions, including surface scattering at the air–snow interface, volume scattering by the snow layer, and surface scattering at the snow–ground interface, which is attenuated by the snow layer

  • The C-band backscatter is largely dominated by surface scattering from the ground–snow boundary for typical dry snow conditions

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Summary

Introduction

Conventional snow measurements, which are sporadically taken in situ, do not meet the spatial requirements for the reproduction of the seasonal behavior of snowpack in hydrological models. In the winters of 1997/98 and 1998/99, C-band RADARSAT-1 and ERS-2 images over the region of Churchill, Manitoba, were acquired to facilitate the investigation of the effect of incident-angle variations on the backscattering characteristics of lake ice [22] Our presence in this area to evaluate the contribution of the coarse spatial resolution of passive-microwave sensors to the monitoring of spatial and temporal variability of snow cover [23] enabled us to verify the usefulness of C-band SAR data in snow observations at a fine resolution in the forest-tundra ecotone. We examine the variety and complexity of the surface conditions encountered in the Churchill area, and we investigate how these surface conditions influence the characteristics and distribution of the snow cover as well as the C-band radar return

Description of the Study Sites and the Characteristics of the Snow Cover
Ground-Based Snowpack Measurements
RADARSAT-1 and ERS-2 Imagery
Ground-Penetrating Radar Surveys
Results and Discussion
Seasonal Variations of the RADARSAT-1 and ERS-2 Backscatter
The Effect of the Incidence Angle
The effect of soil freezing on backscatter in autumn and early winter
The Effect of the Dry Snow on Backscatter in the Mid-Winter to End of Winter
Changes in Backscatter during the Post-Melt Period
Conclusions
Full Text
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