Glacier surface characteristics derivation and monitoring using Hyperspectral datasets: a case study of Gepang Gath glacier, Western Himalaya. Issue 1 (2nd January 2019)

• Record Type: Journal Article
• Authors: Gore, Akshay; Mani, Sneh; R.P., HariRam; Shekhar, Chander; Ganju, Ashwagosha
• Is Part Of: Geocarto international. Volume 34:Issue 1(2019)
• Page Start: 23
• Page End: 42
• Publication Date: 2019-01-02
• Subjects: Himalaya -- glacier -- hyperspectral -- classification -- spectral signature; Remote sensing -- Periodicals; Geographic information systems -- Periodicals; Geology -- Periodicals; Cartography -- Periodicals; 621.3678
• DOI: 10.1080/10106049.2017.1357766
• Languages: English
• ISSNs: 1010-6049

Abstract

Abstract: Mountain Glaciers are natural resources of fresh water and these affect the stream flow of the rivers, regional climate and further global climate. Observed trends and projected future evolutions of climate and Cryospheric variables clearly suggest a need to monitor these changes. Accordingly, the article presents the glacier features mapping using Hyperspectral remote sensing imagery. A freely available Hyperion satellite imagery acquired over Gepang Gath glacier in Himachal Pradesh, India is used for the study. Each class is identified based on their surface characteristics of spectral reflectance properties. Identification is simplified by demarcating the study glacier into accumulation and ablation areas through snowline. Accumulation area is characterized with high reflectance clean snow/ice and reduced moderate reflectance Snow/firn. The identification of classes in Hyperion imagery is validated using the spectral library from USGS and ASTER, and field spectra obtained from literature.