Evaluating snow depth retrievals from Sentinel-1 volume scattering over NASA SnowEx sites

Z Hoppinen, RT Palomaki, G Brencher… - The …, 2024 - tc.copernicus.org
Snow depth retrievals from spaceborne C-band synthetic aperture radar (SAR) backscatter
have the potential to fill an important gap in the remote monitoring of seasonal snow …

Theory of microwave remote sensing of vegetation effects, SoOp and rough soil surface backscattering

L Tsang, TH Liao, R Gao, H Xu, W Gu, J Zhu - Remote Sensing, 2022 - mdpi.com
In this paper, we provide updates on our recent work on the theory of microwave remote
sensing for applications in remote sensing of soil moisture and snow water equivalent …

[HTML][HTML] A machine learning approach for estimating snow depth across the European Alps from Sentinel-1 imagery

D Dunmire, H Lievens, L Boeykens… - Remote Sensing of …, 2024 - Elsevier
Seasonal snow plays a crucial role in society and understanding trends in snow depth and
mass is essential for making informed decisions about water resources and adaptation to …

Tower-based C-band radar measurements of an alpine snowpack

I Brangers, HP Marshall, G De Lannoy… - The …, 2024 - tc.copernicus.org
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 …

Sensitivity of Sentinel-1 C-band SAR backscatter, polarimetry and interferometry to snow accumulation in the Alps

JF Jans, E Beernaert, M De Breuck, I Brangers… - Remote Sensing of …, 2025 - Elsevier
The physical drivers of Sentinel-1 C-band backscatter observations during snow
accumulation are still uncertain. To investigate these, backscatter fluctuations (in co …

Snowdrift‐permitting simulations of seasonal snowpack processes over large mountain extents

CB Marsh, Z Lv, V Vionnet, P Harder… - Water Resources …, 2024 - Wiley Online Library
The melt of seasonal snowpack in mountain regions provides downstream river basins with
a critical supply of freshwater. Snowdrift‐permitting models have been proposed as a way to …

Snow Water Equivalent Monitoring—A Review of Large-Scale Remote Sensing Applications

S Schilling, A Dietz, C Kuenzer - Remote Sensing, 2024 - mdpi.com
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 …

Remote sensing of mountain snow from space: status and recommendations

S Gascoin, K Luojus, T Nagler, H Lievens… - Frontiers in Earth …, 2024 - frontiersin.org
The spatial and temporal variation of the seasonal snowpack in mountain regions is
recognized as a clear knowledge gap for climate, ecology and water resources applications …

[HTML][HTML] Quantifying weather-induced unreliable public transportation service in cold regions under future climate model scenarios

X Tian, C Lu, Z Song, C An, S Wan, H Peng… - Sustainable Cities and …, 2024 - Elsevier
Climate change, particularly in cold regions, significantly challenges public transportation
systems. This study conducts a comprehensive analysis of weather patterns and public …

Investigation of environmental effects on coherence loss in SAR interferometry for snow water equivalent retrieval

JJ Ruiz, J Lemmetyinen, A Kontu… - … on Geoscience and …, 2022 - ieeexplore.ieee.org
Interferometric synthetic aperture radar (InSAR) is a promising tool for the retrieval of snow
water equivalent (SWE) from space. Due to refraction, the interferometric phase changes …