The Snow CCI project team recently presented a poster of initial project results at the Living Planet Symposium in Milan earlier this year. The pos, as part of a wider effort to develop a long time series of daily global snow extent maps from satellite data.
They show snow mapping based on Normalized Difference Snow Index improved by using a cloud mask and uncertainty measures. AVHRR GAC satellite data, pre-processed by the CCI cloud project, was used to improve geocoding and apply inter-channel calibration.
Seasonal snow extent is an Essential Climate Variable and widely recognised as a fundamental indicator of climate variability and change.
The project, still in its first year, is currently working towards developing its first global product.
修改评论