Numerous studies have highlighted the physical and mental health benefits of contact with
nature, typically in landscapes characterized by plants (ie,“greenspace”) and water …

The use of satellite remote sensing for the map** of snow-cover characteristics has a long-
lasting history reaching back until the 1960s. Because snow cover plays an important role in …

Streamflow Q estimation in ungauged catchments is one of the greatest challenges facing
hydrologists. Observed Q from 3000 to 4000 small-to-medium-sized catchments (10–10 000 …

Knowledge of the distribution, extent, duration and timing of snowmelt is critical for
characterizing the Earth's climate system and its changes. As a result, snow cover is one of …

Lake ice is a robust indicator of climate change. The availability of information contained in
Moderate Resolution Imaging Spectroradiometer daily snow products from 2000 to 2017 …

Accurate remotely sensed snow depth (SD) data are essential for monitoring and modeling
hydrological processes in cold regions. While the available passive microwave SD data …

Eight years (2002–2010) of Advanced Microwave Scanning Radiometer–EOS (AMSR‐E)
snow water equivalent (SWE) retrievals and Moderate Resolution Imaging …

Although passive microwave remote sensing has been widely used for snow depth (SD)
retrieval, its coarse spatial resolution has led to large uncertainties in various applications …

The change in snow cover under climate change is poorly understood in Tianshan
Mountains. Here, we investigate the spatiotemporal characteristics and trends of snow …

The snow cover products of optical remote sensing systems play an important role in
research into global climate change, the hydrological cycle, and the energy balance …