Snow Grain Size Mapping using Hyperspectral Remote Sensing Data: Spectral Analysis, Pre-processing & Snow Grain Size Mapping of EO-1 Hyperion Data in a Part of Lower Himalayan Region

Saha, Arnab

ISBN 10: 6137321975 / ISBN 13: 9786137321973

Published by LAP LAMBERT Academic Publishing, 2018

About this Item

68 pages. 8.66x5.91x0.16 inches. In Stock. Seller Inventory # zk6137321975

Bibliographic Details

Title: Snow Grain Size Mapping using Hyperspectral ...

Publisher: LAP LAMBERT Academic Publishing

Publication Date: 2018

Binding: Paperback

Condition: Brand New

About this title

Synopsis:

Snow is the part of atmosphere in the climate system of the earth and its physical parameters play an important role in hydrological and climate models. The present study explained that the imaging spectroscopy to produce the snow cover maps and estimation of snow grain size in the North-Western Himalayan region. It is necessary to develop an approach to map snow cover, snow grain size spatially using advance remote sensing technique. Remote sensing techniques can provide spatial information of a large extent at good temporal scale. In the present study, one of the important snow physical parameters (i.e snow grain size) has been estimated using Spectral angle mapper (SAM) classification method and Grain index (GI) method. Study was carried out by using NASA’s hyperspectral EO-1 Hyperion sensor data of 12th January and 23rd January 2016 were used to map grain size of snow. The snow map generating for dry snow, small grain size snow, medium grain size snow, large grain size snow and wet snow classes. This study is of importance in this mapping of snow-cover characteristics, which can provide valuable input for climatology, hydrology, and mountain hazard applications.

About the Author:

Research Fellow in Uttarakhand Technical University, Dehradun in Snow & Glacier studies project. Completed M.Tech in Geoinformatics & Remote Sensing from Amity University. PG Diploma in Remote Sensing & GIS from IIRS, ISRO, Dehradun. Area of interest lies in Hydrology, Hyperspectral Remote Sensing, Snow & Glacier studies and Water Resources.