ePrints@IIScePrints@IISc Home | About | Browse | Latest Additions | Advanced Search | Contact | Help

Mapping velocity of the potsdam glacier, east antarctica using landsat-8 data

Jawak, SD and Joshi, M and Luis, AJ and Pandit, PH and Kumar, S and Wankhede, SF and Somadas, AT (2019) Mapping velocity of the potsdam glacier, east antarctica using landsat-8 data. In: 4th ISPRS Geospatial Week 2019, 10 - 14 June 2019, Enschede, pp. 1753-1757.

ISPRS_2019.pdf - Published Version

Download (1MB) | Preview
Official URL: https://doi.org/10.5194/isprs-archives-XLII-2-W13-...


Most of the glaciers have been retreating and thinning globally due to climate change. Glacier velocity is one such important parameter of glacier dynamics, which helps to understand the mass balance. The variations in velocity at different areas of the glacier can be used to identify the zones of ablation and accumulation. Zones of accumulation are identified as areas with higher velocity. This data is useful to incorporate in the glacier mass balance analysis. This study aims to derive the glacier velocity, using feature tracking technique for Potsdam glacier, east Antarctica. Feature tracking is an efficient way to derive glacier velocity, which is based on a cross-correlation algorithm that seeks offsets of the maximal correlation window on repeated satellite images. In this technique, two temporally different images are acquired for the same area and a distinct feature on both images is identified and the velocity is calculated with respect to the movement of that particular feature from one image to the other. Landsat-8 data for the year 2016 was used to derive velocity. Finer resolution promotes better feature tracking so the panchromatic band (band 8) of Landsat-8 OLI with a resolution of 15 m was utilized for deriving velocity. This technique was performed using COSI-Corr module in ENVI. This tool calculates displacement between the east-west and north-south directions, and the resultant velocity is calculated using the displacement in both directions and the temporal difference of two images. The velocity map generated at a resolution of 240 m showed that the resultant velocity ranged between 18.60 and 285.28 ma−1. Bias and root mean square error (RMSE) have been calculated with respect to the point-by-point MEaSUREs data provided by National Snow and Ice Data Centre at 1000 m resolution. The RMSE was found to be 78.06 ma−1 for 2016. The velocity for Potsdam glacier was also pictorially validated with the DGPS measurements from literature.

Item Type: Conference Paper
Publication: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
Publisher: International Society for Photogrammetry and Remote Sensing
Additional Information: The copyright for this article belongs to the Authors.
Keywords: Bioassay; Climate change; Image matching; Mean square error, Cross-correlation algorithm; Glacier mass balance; LANDSAT; Maximal correlation; Panchromatic bands; Resultant velocities; Root mean square errors; Temporal differences, Velocity
Department/Centre: Division of Mechanical Sciences > Divecha Centre for Climate Change
Date Deposited: 23 Oct 2022 07:16
Last Modified: 23 Oct 2022 07:16
URI: https://eprints.iisc.ac.in/id/eprint/77516

Actions (login required)

View Item View Item