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 …

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 …

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 …

A synthetic aperture radar based method for long term monitoring of seasonal snowmelt and wintertime rain-on-snow events in Svalbard

H Vickers, E Malnes, M Eckerstorfer - Frontiers in Earth Science, 2022 - frontiersin.org
Snow cover characteristics are highly sensitive to variations in temperature and
precipitation. In Svalbard, these parameters are undergoing significant change in response …

Estimation of snow depth in the Hindu Kush Himalayas of Afghanistan during peak winter and early melt season

AB Mahmoodzada, D Varade, S Shimada - Remote Sensing, 2020 - mdpi.com
The Pamir ranges of the Hindu Kush regions in Afghanistan play a substantial role in
regulating the water resources for the Middle Eastern countries. Particularly, the snowmelt …

Potential of multispectral reflectance for assessment of snow geophysical parameters in Solang valley in the lower Indian Himalayas

D Varade, O Dikshit - GIScience & Remote Sensing, 2020 - Taylor & Francis
Snow geophysical parameters such as wetness, density and permittivity are a significant
input in hydrological models and water resource management. In this paper, we utilize the …

Identification of snow using fully polarimetric SAR data based on entropy and anisotropy

D Varade, G Singh, O Dikshit… - Water Resources …, 2020 - Wiley Online Library
Recently, with the extensive availability of fully polarimetric synthetic aperture radar (SAR)
data, methods that are simple and efficient, and involve lesser computation and data …

Spatio-temporal variations in the effective snow/glacier coverage in the Sikkim Himalayas

SK Mondal, R Bharti - Journal of the Indian Society of Remote Sensing, 2023 - Springer
The sustainability of eco-hydrology of the Eastern Himalaya depends on snow and glacial
dynamics. Glaciers, permanent and seasonal snow are the freshwater flow regimes and an …

Study of contaminated snow cover using remote sensing in the Eastern Himalayas of Arunachal Pradesh, India

MK Singh, R Anilkumar, R Bharti - Environmental Monitoring and …, 2025 - Springer
Snow is considered contaminated when any foreign materials are deposited/mixed with it,
which can accelerate melting and significantly impact the snow cover's radiative balance …

High-resolution mapping of seasonal snow cover extent in the Pamir Hindu Kush using machine learning-based integration of multi-sensor data

AB Mahmoodzada, P Das, D Varade, MA Akhtar… - Acta Geophysica, 2024 - Springer
This study proposes a framework to develop a high-resolution snow cover area (SCA)
product from freely available spaceborne remote sensing data and utilizes the Sentinel-1 …