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 …

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 …

[HTML][HTML] Estimating snow accumulation and ablation with L-band interferometric synthetic aperture radar (InSAR)

J Tarricone, RW Webb, HP Marshall, AW Nolin… - The …, 2023 - tc.copernicus.org
Snow is a critical water resource for the western United States and many regions across the
globe. However, our ability to accurately measure and monitor changes in snow mass from …

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 …

[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 …

[HTML][HTML] 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 …

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 …

Assessment of L-band InSAR snow estimation techniques over a shallow, heterogeneous prairie snowpack

RT Palomaki, EA Sproles - Remote Sensing of Environment, 2023 - Elsevier
Snow water equivalent (SWE) is a critical input for weather, climate, and water resource
management models at local to global scales. Despite its importance, global SWE …

Leveraging next‐generation satellite remote sensing‐based snow data to improve seasonal water supply predictions in a practical machine learning‐driven river …

SW Fleming, K Rittger… - Water Resources …, 2024 - Wiley Online Library
Seasonal predictions of spring‐summer river flow volume (water supply forecasts, WSFs)
are foundational to western US water management. We test a new space‐based remote …

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 …