Paleoglaciological study of the Ahlmannryggen, Borgmassivet and Kirwanveggen nunatak ranges, Dronning Maud Land, East Antarctica, using WorldView imagery

• Main Author: Serra, Elena
• Format: Bachelor Thesis
• Language: English
• Published: Stockholms universitet, Institutionen för naturgeografi 2017
• Subjects: Physical Geography; Naturgeografi; Ahlmannryggen; Antarctic; Borgmassivet; Dronning Maud Land; East Antarctica; Kirwanveggen; Antarc*; Antarctica; DML; Ice Sheet
• Online Access: http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-180793

Paleoglaciological reconstructions based on glacial geological and geomorphological evidence areused to constrain and test numerical models of ice sheet extent and dynamics. The MAGIC-DMLresearch project (“Mapping, Measuring and Modelling Antarctic Geomorphology and Ice Change, inDronning Maud Land”) is trying to reconstruct the timing and pattern of ice surface elevation changessince the mid-Pliocene across western Dronning Maud Land, East Antarctica. This reconstructionwill work as the basis for testing and constraining ice sheet numerical models to improve climateunderstanding in Antarctica. This master thesis project contributes to MAGIC-DML by adopting a high-resolution remote sensingbasedmapping of glacial geomorphology and ice sheet surface structures, for a coast-inland transectincluding the Ahlmannryggen, Borgmassivet, and Kirwanveggen nunatak ranges. The primary aimof this study is to investigate the glaciology and paleoglaciology of the study area, in order to mapevidence for a former thicker ice sheet on nunatak slopes and plateaus, and patterns of ice flow of thecurrent ice sheet surface. Meso-scale glacial landforms and ice flow features were identified andmapped using different remote sensing data sets: the LANDSAT Image Mosaic of Antarctica(LIMA), DigitalGlobe Worldview-2 (WV02) and Worldview-3 (WV03) panchromatic andmultispectral images, the Radarsat Antarctica Mapping Project (RAMP) Ice Surface Digital ElevationModel (DEM) version 2, and the Bedmap2 datasets. The satellite imagery was analysed in a multistepprocedure using ArcGIS, including image processing and mosaicking, visual feature recognition,and mapping. The identification of some key landforms required the adoption of assumptions, forexample in order to distinguish till cover from regolith or boulders derived from rock fall from glacialerratics. Present-day ice flow directions were traced according to the distribution of ice surfacefeatures such as blue ice areas, crevasse fields, longitudinal surface structures, and ...