Minimum SnowIce Cover Extent over Northern Circumpolar Landmass

2 Objectives • • Minimum Snow/Ice (MSI) Extent is generated from Snow/Ice probability map;

3 Example of Seasonal Imagery for 2019 False Color Composite 9, 000 km x

4 Example for Central Europe (RGI : R 11) 20 years 2000 -2019 CCRS

5 Conclusions and Recommendations • CCRS-derived MSI extent @250 m spatial resolution shows reasonable

Slides: 5

Minimum Snow/Ice Cover Extent over Northern Circumpolar Landmass at 250 -m Spatial Resolution from MODIS and VIIRS: Climatic Trends and Suitability for Annual Updates of Glacier Inventory since 2000 Alexander P. Trishchenko Canada Centre for Remote Sensing (CCRS) Natural Resources Canada (NRCan)

2 Objectives • • Minimum Snow/Ice (MSI) Extent is generated from Snow/Ice probability map; Snow/Ice probability P = (Nsnow&ice)/Ntotal is derived from sequence of clear-sky maps over the entire warm season (April-September); CCRS-derived MODIS and VIIRS processing and data are employed. Not a standard MODIS and VIIRS products, except where it is mentioned. CCRS results are derived from L 1 (swath) MODIS data and VIIRS SDR data

3 Example of Seasonal Imagery for 2019 False Color Composite 9, 000 km x 9, 000 km: 36, 000 pixels x 36, 000 lines 2019 % 2019 Probability Map

4 Example for Central Europe (RGI : R 11) 20 years 2000 -2019 CCRS MODIS 2001 overlaid with RGI 6. 0 CCRS MODIS 2017

5 Conclusions and Recommendations • CCRS-derived MSI extent @250 m spatial resolution shows reasonable consistency with RGI 6. 0 baseline and can be recommended to Glacier Scientific Community, as a source of annual updates and the first order validation data despite its coarser spatial resolution. • CCRS MSI maps shows that RGI 6. 0 baseline requires annual updates to account for dynamics of glacier cover that is not available from any other sources of high-resolution data.