Seasonal snow is an essential water resource in many mountain regions. However, the
spatio-temporal variability in mountain snow depth or snow water equivalent (SWE) at …

The main objective of this study was to monitor wet snow conditions from Sentinel-1 over a
season, to examine its variation over time by cross-checking wet snow with independent …

The timing of snowmelt runoff is critical for water resource applications, but its
spatiotemporal evolution remains poorly understood. We present a scalable approach to …

To better understand the interactions between C-band radar waves and snow, a tower-
based experiment was set up in the Idaho Rocky Mountains for the period of 2021–2023 …

Timely and reliable rapeseed map** is crucial for vegetable oil supply and bioenergy
industry. Synthetic Aperture Radar (SAR) remote sensing is able to track rapeseed …

Snow, as a fundamental reservoir of freshwater, is a crucial natural resource. Specifically,
knowledge of snow density spatial and temporal variability could improve modelling of snow …

Monitoring variations in the extent of wet snow over space and time is essential for many
applications, such as hydrology, mountain ecosystems, meteorology and avalanche …

The physical drivers of Sentinel-1 C-band backscatter observations during snow
accumulation are still uncertain. To investigate these, backscatter fluctuations (in co …

The transition of a cold winter snowpack to one that is ripe and contributing to runoff is
crucial to gauge for water resource management, but is highly variable in space and time …

Snow plays a crucial role in the global water cycle, providing water to over 20% of the
world's population and serving as a vital component for flora, fauna, and climate regulation …