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Glacier facies characterisation in transboundary West Sikkim Himalaya from TerraSAR-X; GLCM based classification approach.
- Source :
-
Journal of Spatial Science . Jan2024, Vol. 69 Issue 1, p43-59. 17p. - Publication Year :
- 2024
-
Abstract
- The proposed facies classification approach uses three features of the GLCM with multitemporal X-band SAR data of TerraSAR-X combined with k-means clustering. This approach was tested on 15 transboundary Himalayan glaciers. They were classified into six facies namely debris, dry snow, wet snow, bare ice, percolation zone 1 and percolation zone 2 and the covered areas for these classes are 20.56%, 12.50%, 20.26%, 13.16%, 25.49% and 8.03% of total area respectively. After classification, the signature for classes are validated using the benchmark outline of East Rathong glacier, India. The accuracy achieved is 89.56% with negligible variance and kappa of 0.87. [ABSTRACT FROM AUTHOR]
- Subjects :
- *FACIES
*K-means clustering
*GLACIERS
*SYNTHETIC aperture radar
*CLASSIFICATION
Subjects
Details
- Language :
- English
- ISSN :
- 14498596
- Volume :
- 69
- Issue :
- 1
- Database :
- Academic Search Index
- Journal :
- Journal of Spatial Science
- Publication Type :
- Academic Journal
- Accession number :
- 176244664
- Full Text :
- https://doi.org/10.1080/14498596.2022.2164085