Snow grain size mapping using EO-1 Hyperion imagery in the Himalayan region, India

  • Sandeep Kumar Kaushik
  • Varun Narayan Mishra
  • Milap Punia

Abstract

It is complicated and time consuming to use traditional
ground survey methods to study the physical
properties of snow over vast and inaccessible areas.
However, the emergence of Hyperspectral remote sensing
provides a convenient and powerful tool for studying
the physical properties of snow. This study demonstrates
the potential of EO-1 Hyperion imagery for the
estimation and mapping of one of snow physical parameters
(i.e. snow grain size) in the Himalayan region,
India. The analysis process consists of Fast Line-of-sight
Atmospheric Analysis of SpectralHypercubes (FLAASH)
to retrieve surface reflectance. The spectral reflectance
of different types of snow grain size, debris cover and
barren/rocky has been collected using image derived
spectra. Snow grain size has been estimated using spectral
angle mapper (SAM) algorithm. This study reveals
the relatively high accuracy of the estimation and mapping
of snow grain size classes i.e. fine, medium and
coarse using SAM theory based on the Hyperion imagery.

Published
2017-10-20
How to Cite
KAUSHIK, Sandeep Kumar; MISHRA, Varun Narayan; PUNIA, Milap. Snow grain size mapping using EO-1 Hyperion imagery in the Himalayan region, India. Bulletin of Environmental and Scientific Research, [S.l.], v. 6, n. 3-4, p. 14-19, oct. 2017. ISSN 2278-5205. Available at: <http://besr.org.in/index.php/besr/article/view/79>. Date accessed: 21 oct. 2018.
Section
Articles