Automated detection and temporal monitoring of crevasses using remote sensing and their implications for glacier dynamics

Detailed studies on temporal changes of crevasses and their linkage with glacier dynamics are scarce in the Himalayan context. Observations of temporally changing surficial crevasse patterns and their orientations are suggestive of the processes that determine seasonal glacier flow characteristics....

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Bibliographic Details
Published in:Annals of Glaciology
Main Authors: Anshuman Bhardwaj, Lydia Sam, Shaktiman Singh, Rajesh Kumar
Format: Article in Journal/Newspaper
Language:English
Published: Cambridge University Press 2016
Subjects:
Online Access:https://doi.org/10.3189/2016AoG71A496
https://doaj.org/article/dc909252c25f49b9906db0f259748ed1
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Summary:Detailed studies on temporal changes of crevasses and their linkage with glacier dynamics are scarce in the Himalayan context. Observations of temporally changing surficial crevasse patterns and their orientations are suggestive of the processes that determine seasonal glacier flow characteristics. In the present study, on a Himalayan valley glacier, changing crevasse patterns and orientations were detected and mapped on Landsat 8 images in an automated procedure using the ratio of Thermal Infrared Sensor (TIRS) band 10 to Optical Land Imager (OLI) shortwave infrared (SWIR) band 6. The ratio was capable of mapping even crevasses falling under mountain shadows. Differential GPS observations suggested an average error of 3.65% and root-mean-square error of 6.32m in crevasse lengths. A year-round observation of these crevasses, coupled with field-based surface velocity measurements, provided some interesting interpretations of seasonal glacier dynamics.