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 …

The seasonal snow cover contributes significantly to the water resource in the Indian
Himalayas, and snow density is one of the vital parameters in the determination of the …

Abstract Information on the spatial and temporal extent of snow cover distribution is a
significant input in hydrological processes and climate models. Although hyperspectral …

In this paper, we focus on utilizing the image denoising method for ranking of significant
bands in hyperspectral imagery. We make use of the fact that the denoising error of bands …

Spectral indexes (SI) are widely used for land cover characterization and also in several
physical models for the study of land surface processes. For example, the normalized …

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 …

This study proposes the development of a multi-sensor, multi-spectral composite from
Landsat-8 and Sentinel-2A imagery referred to as 'LSC'for land use land cover (LULC) …

We propose a multi-sensor multi-spectral and bi-temporal dual-polarimetric Synthetic
Aperture Radar (SAR) data integration scheme for dry/wet snow mapping using Sentinel-2 …

Los glaciares andinos representan una de las fuentes principales del recurso hídrico en
Suramérica y durante las últimas décadas se han reducido significativamente como …

Estimating the seasonal density of the snowpack has many financial and environmental
benefits. Rapid assessment and daily monitoring of its evolution are therefore key to …