Abstract: Mountain chains of Central Asia host a large number of glaciated areas that provide critical water supplies to the semi-arid populated foothills and lowlands of this region. Spatio-temporal variations of glacier flows are a key indicator of the impact of climate change on water resources as the glaciers react sensitively to climate. Satellite remote sensing using optical imagery is an efficient method for studying ice-velocity fields on mountain glaciers. In this study, temporal and spatial changes in surface velocity associated with the Inylchek glacier in Kyrgyzstan are investigated. We present a detailed map for the kinematics of the Inylchek glacier obtained by cross-correlation analysis of Landsat images, acquired between 2000 and 2011, and a set of ASTER images covering the time period between 2001 and 2007. Our results indicate a high-velocity region in the elevated part of the glacier, moving up to a rate of about 0.5 m/day. Time series analysis of optical data reveals some annual variations in the mean surface velocity of the Inylchek during 2000–2011. In particular, our findings suggest an opposite trend between periods of the northward glacial flow in Proletarskyi and Zvezdochka glacier, and the rate of westward motion observed for the main stream of the Inylchek.
Keywords: Inylchek glacier; Landsat; ASTER; image cross-correlation
Export to BibTeX
MDPI and ACS Style
Nobakht, M.; Motagh, M.; Wetzel, H.-U.; Roessner, S.; Kaufmann, H. The Inylchek Glacier in Kyrgyzstan, Central Asia: Insight on Surface Kinematics from Optical Remote Sensing Imagery. Remote Sens. 2014, 6, 841-856.
Nobakht M, Motagh M, Wetzel H-U, Roessner S, Kaufmann H. The Inylchek Glacier in Kyrgyzstan, Central Asia: Insight on Surface Kinematics from Optical Remote Sensing Imagery. Remote Sensing. 2014; 6(1):841-856.
Nobakht, Mohamad; Motagh, Mahdi; Wetzel, Hans-Ulrich; Roessner, Sigrid; Kaufmann, Hermann. 2014. "The Inylchek Glacier in Kyrgyzstan, Central Asia: Insight on Surface Kinematics from Optical Remote Sensing Imagery." Remote Sens. 6, no. 1: 841-856.