Snow cover is an important driver of many climatic, hydrological and ecological processes and is a required input to many models aiming to study and predict them. Snow Cover Area (SCA) is also one of the Essential Climate Variables (ECVs) specified by the Global Observing System for Climate (GCOS) to be observed by remote sensing in support of the United Nations Framework Convention on Climate Change (UNFCCC) and the Intergovernmental Panel on Climate Change (IPCC).
There are multiple methodologies designed to observe snow cover using optical and SAR satellites. During this webinar, you will learn how to process low-cloud optical Sentinel-2 data using the SNAP toolbox to create snow cover maps based on the Normalized Difference Snow Index (NDSI).
You can replay this webinar through our RUS Copernicus Training channel available on Youtube.
You can also retrieve the corresponding training support in the Train with RUS section of the RUS portal.