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- W289406467 abstract "By considering the advantages and disadvantages of each remote sensing observation method, the most favourable solution for studying snow cover currently remains the synergistic use of multi-sensor satellite data. Using Principal Component Analysis (PCA) applied to SMMR and SSM/I time series over a 23-year period (1978–2001), we were able to evaluate the sensitivity of passive microwave sensor data in identifying the seasonal cycles and the interannual variability of snow cover conditions in the Canadian Subarctic (northern Manitoba). We also demonstrated that the Nimbus-7 SMMR Pathfinder Daily EASE-Grid Brightness Temperatures are biased, especially in vertical polarisation. Dates characterising the beginning of snow accumulation on the ground and snow cover disappearance were obtained from the PCA and then compared to both snow cover information derived from optical satellite imagery (NOAA/NESDIS weekly snow charts) and conventional snow cover measurements recorded at the Churchill and Gillam airport weather stations. It appears that passive microwave radiometers meet some difficulties in estimating accurately the date of the first snow on the ground, especially under warm and dry winter conditions. Indeed, the difference can sometime exceed 4 weeks (e.g. winters 92–93 and 98–99) between passive microwave estimates and in situ observations. Consequently, the results clearly indicate the need to improve snow cover duration estimates derived from passive microwave data by adding information from optical sensors. However, SMMR and SSM/I data efficiently compensate for the deficiencies of optical imagery, especially when cloud cover remains over a study area for long periods due to the presence of large atmospheric disturbances. In addition, passive microwave data also allow to monitor intra- and inter-annual variations in snow depth." @default.
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- W289406467 date "2002-01-01" @default.
- W289406467 modified "2023-09-27" @default.
- W289406467 title "Remote Sensing of Snow Cover for Climate Monitoring in the Canadian Subarctic: A Comparison Between SMMR-SSM/I and NOAA-AVHRR Sensors" @default.
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