Estimation of ice shelf front changes using MODIS data and statistical approachAuthor(s):
Aakriti Srivastava, Dinesh Chandra Gupta and Avinash KumarAbstract:
The Ronne ice shelf (RIS) dynamics and mass balance play key role to decipher changes in the global climate scenario. The spatio-temporal changes in ice shelf extent of the RIS were studied by dividing the study area into three sectors (I, II, II) and further into a number of transects at 5 km uniform intervals using multi-dated Moderate Resolution Imaging Spectro-radiometer (MODIS) satellite data (2004–2019) of the austral summer months (January–March). The average of rates (AOR), end point rate (EPR), and linear regression (LR) methods were used to estimate the rate of change in RIS extent. Based on the analysis, Sector II shows prominent changes, hence further detailed study has been carried out in this sector. The study reveals that the RIS extent has been prograded at the rate of 11 km/year to 26 km/year in 2019 with maximum increase of 26 km at TR63. Based on all the three methods, ice shelf extent shows a progradation in almost all transects. The RIS bounded by Lassiter coast (LC) and Berkner Island (BI) recorded advancement in the ice shelf extents which is the feedback of morphological features like ice rise, small inlets along the ice shelf. The present study demonstrates that the combined use of satellite imagery and statistical techniques can be useful in quantifying ice shelf morphological variability.Pages: 151-161 | Views: 134 | Downloads: 29Download Full Article: Click Here
How to cite this article:
Aakriti Srivastava, Dinesh Chandra Gupta, Avinash Kumar. Estimation of ice shelf front changes using MODIS data and statistical approach. Int J Geogr Geol Environ 2023;5(1):151-161.