[HTML][HTML] Remote sensing of snow cover using spaceborne SAR: A review

YLS Tsai, A Dietz, N Oppelt, C Kuenzer - Remote Sensing, 2019 - mdpi.com
The importance of snow cover extent (SCE) has been proven to strongly link with various
natural phenomenon and human activities; consequently, monitoring snow cover is one the …

Progresses on microwave remote sensing of land surface parameters

J Shi, Y Du, J Du, LM Jiang, LN Chai, KB Mao… - Science China Earth …, 2012 - Springer
Highly accurate observations at various scales on the land surface are urgently needed for
the studies of many areas, such as hydrology, meteorology, and agriculture. With the rapid …

[HTML][HTML] Wet and dry snow detection using Sentinel-1 SAR data for mountainous areas with a machine learning technique

YLS Tsai, A Dietz, N Oppelt, C Kuenzer - Remote Sensing, 2019 - mdpi.com
Traditional studies on mapping wet snow cover extent (SCE) often feature limitations,
especially in vegetated and mountainous areas. The aim of this study is to propose a new …

[HTML][HTML] MODIS fractional snow cover mapping using machine learning technology in a mountainous area

C Liu, X Huang, X Li, T Liang - Remote Sensing, 2020 - mdpi.com
To improve the poor accuracy of the MODIS (Moderate Resolution Imaging
Spectroradiometer) daily fractional snow cover product over the complex terrain of the …

Capability assessment of fully polarimetric ALOS–PALSAR data for discriminating wet snow from other scattering types in mountainous regions

G Singh, G Venkataraman… - IEEE transactions on …, 2013 - ieeexplore.ieee.org
This paper examines the capability assessment of fully polarimetric L-band data for the snow
and nonsnow-area classifications. The data sets used are the fully polarimetric Advanced …

An Unsupervised Snow Segmentation Approach Based on Dual-Polarized Scattering Mechanism and Deep Neural Network

C Liu, Z Li, Z Wu, L Huang, P Zhang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Distribution of snow and its melting is a critical factor affecting local weather, avalanche and
flood forecasting, livelihood of people residing, and hydropower production. Most of 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 …

[HTML][HTML] Land cover classification in subarctic regions using fully polarimetric RADARSAT-2 data

Y Duguay, M Bernier, E Lévesque, F Domine - Remote Sensing, 2016 - mdpi.com
The expansion of shrub vegetation in Arctic and sub-Arctic environments observed in the
past decades can have significant effects on northern ecosystems. There is a need for …

Prediction of active microwave backscatter over snow-covered terrain across Western Colorado using a land surface model and support vector machine regression

J Park, BA Forman, H Lievens - IEEE journal of selected topics …, 2021 - ieeexplore.ieee.org
The main objective of this article is to develop a physically constrained support vector
machine (SVM) to predict C-band backscatter over snow-covered terrain as a function of …

[HTML][HTML] A combination of PROBA-V/MODIS-based products with Sentinel-1 SAR data for detecting Wet and Dry snow cover in mountainous areas

YLS Tsai, A Dietz, N Oppelt, C Kuenzer - Remote Sensing, 2019 - mdpi.com
In the present study, we explore the value of employing both vegetation indexes as well as
land surface temperature derived from Project for On-Board Autonomy—Vegetation (PROBA …