Recent advances in the remote sensing of alpine snow: A review

S Awasthi, D Varade - GIScience & Remote Sensing, 2021 - Taylor & Francis
Seasonal alpine snow contributes significantly to the water resource. It plays a crucial role in
regulating the environmental feedback and from the perspective of socio-economic …

[HTML][HTML] Sentinel-1 snow depth retrieval at sub-kilometer resolution over the European Alps

H Lievens, I Brangers, HP Marshall, T Jonas… - The …, 2022 - tc.copernicus.org
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 …

[HTML][HTML] Remote sensing of environmental changes in cold regions: Methods, achievements and challenges

J Du, JD Watts, L Jiang, H Lu, X Cheng, C Duguay… - Remote Sensing, 2019 - mdpi.com
Cold regions, including high-latitude and high-altitude landscapes, are experiencing
profound environmental changes driven by global warming. With the advance of earth …

SMRT: An active–passive microwave radiative transfer model for snow with multiple microstructure and scattering formulations (v1. 0)

G Picard, M Sandells, H Löwe - Geoscientific Model …, 2018 - gmd.copernicus.org
The Snow Microwave Radiative Transfer (SMRT) thermal emission and backscatter model
was developed to determine uncertainties in forward modeling through intercomparison of …

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] The RHOSSA campaign: multi-resolution monitoring of the seasonal evolution of the structure and mechanical stability of an alpine snowpack

N Calonne, B Richter, H Löwe, C Cetti… - The …, 2020 - tc.copernicus.org
The necessity of characterizing snow through objective, physically motivated parameters
has led to new model formulations and new measurement techniques. Consequently …

TanDEM-X: Deriving InSAR height changes and velocity dynamics of great aletsch glacier

S Leinss, P Bernhard - IEEE Journal of Selected Topics in …, 2021 - ieeexplore.ieee.org
Great Aletsch Glacier (Grosser Aletschgletscher), the largest glacier in the European Alps,
contains 20% of the entire Swiss ice mass. Therefore, it has been selected as a super …

MFPANet: multi-scale feature perception and aggregation network for high-resolution snow depth estimation

L Zhao, J Chen, M Shahzad, M **a, H Lin - Remote Sensing, 2024 - mdpi.com
Accurate snow depth estimation is of significant importance, particularly for preventing
avalanche disasters and predicting flood seasons. The predominant approaches for such …

Observation and modelling of snow at a polygonal tundra permafrost site: spatial variability and thermal implications

I Gouttevin, M Langer, H Löwe, J Boike… - The …, 2018 - tc.copernicus.org
The shortage of information on snow properties in high latitudes places a major limitation on
permafrost and more generally climate modelling. A dedicated field program was therefore …

Polarimetric analysis of bi-seasonal monostatic and bistatic radar observations of a glacier accumulation zone at Ku-band

M Stefko, P Bernhard, O Frey… - IEEE Journal of Selected …, 2024 - ieeexplore.ieee.org
We present ground-based Ku-band radar observations of the snow cover on top of the Great
Aletsch Glacier carried out over two observation periods, in August 2021 and in March 2022 …