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 …

Snow height determination by polarimetric phase differences in X-band SAR data

S Leinss, G Parrella, I Hajnsek - IEEE Journal of Selected …, 2014 - ieeexplore.ieee.org
The copolar phase difference (CPD) between VV and HH polarization of X-band SAR
acquisitions shows a significant dependence on the depth of fresh snow. Phase differences …

Mapping snow density through thermal inertia observations

R Colombo, G Pennati, G Pozzi, R Garzonio… - Remote Sensing of …, 2023 - Elsevier
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 …

Development of a novel approach for snow wetness estimation using hybrid polarimetric RISAT-1 SAR datasets in North-Western Himalayan region

S Awasthi, D Varade, PK Thakur, A Kumar, H Singh… - Journal of …, 2022 - Elsevier
Snow wetness estimates are critical inputs in the understanding of snow hydrological
processes. With early warming in winters in the Himalayas, snowpack shows early signs of …

[HTML][HTML] Impact of image-processing routines on mapping glacier surface facies from svalbard and the himalayas using pixel-based methods

SD Jawak, SF Wankhede, AJ Luis, K Balakrishna - Remote Sensing, 2022 - mdpi.com
Glacier surface facies are valuable indicators of changes experienced by a glacial system.
The interplay of accumulation and ablation facies, followed by intermixing with dust and …

Snow depth retrieval in North-Western Himalayan region using pursuit-monostatic TanDEM-X datasets applying polarimetric synthetic aperture radar interferometry …

S Awasthi, S Kumar, PK Thakur, K Jain… - … Journal of Remote …, 2021 - Taylor & Francis
ABSTRACT Synthetic Aperture Radar (SAR) remote sensing is a state-of-the-art tool for
snow monitoring and snow parameters estimation. SAR remote sensing-based techniques …

Detection of wet snow in the Arctic tundra from time-series fully-polarimetric RADARSAT-2 images

YK Antropova, AS Komarov, M Richardson… - Remote Sensing of …, 2022 - Elsevier
Snow melt onset detection and mapping of snow extent during the spring melt period using
spaceborne Synthetic Aperture Radar (SAR) is important for various applications including …

Estimation of snow cover area, snow physical properties and glacier classification in parts of Western Himalayas using C-Band SAR Data

PK Thakur, SP Aggarwal, G Arun, S Sood… - Journal of the Indian …, 2017 - Springer
Snow physical properties, snow cover and glacier facies are important parameters which are
used to quantify snowpack characteristics, glacier mass balance and seasonal snow and …

[HTML][HTML] Estimating snow depth using multi-source data fusion based on the D-InSAR method and 3DVAR fusion algorithm

Y Liu, L Li, J Yang, X Chen, J Hao - Remote Sensing, 2017 - mdpi.com
Snow depth is a general input variable in many models of agriculture, hydrology, climate,
and ecology. However, there are some uncertainties in the retrieval of snow depth by remote …

Remote sensing of mountain snow using active microwave sensors: a review

Snehmani, MK Singh, RD Gupta, A Bhardwaj… - Geocarto …, 2015 - Taylor & Francis
This work provides an overview of various methods for estimating snow cover and properties
in high mountains using remote sensing techniques involving microwaves. Satellite-based …