Satellite Glaciology - Satellite and remote sensing methods

Progress Code: completed Statement: Values provided in temporal and spatial coverage are approximate only. This record was created by staff at the Australian Antarctic Data Centre. Guarantees cannot be made for its quality or accuracy. Metadata record for data from ASAC Project 291 See the link belo...

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Bibliographic Details
Format: Dataset
Language:unknown
Published: Australian Ocean Data Network
Subjects:
AMD
Online Access:https://researchdata.edu.au/satellite-glaciology-satellite-sensing-methods/2821041
Description
Summary:Progress Code: completed Statement: Values provided in temporal and spatial coverage are approximate only. This record was created by staff at the Australian Antarctic Data Centre. Guarantees cannot be made for its quality or accuracy. Metadata record for data from ASAC Project 291 See the link below for public details on this project. From the abstracts of the referenced papers: Ground surveys of the ice sheet in Wilkes Land, Antarctica, have been made on oversnow traverses operating out of Casey. Data collected include surface elevation, accumulation rate, snow temperature, and physical surveys, the data are mostly restricted to line profiles. In some regions, aerial surveys of surface topology have been made over a grid network. Satellite imagery and remote sensing are two means of extrapolating the results from measurements along lines to an areal presentation. They are also the only source of data over large areas of the continent. Landsat images in the visible and near infra-red wavelengths clearly depict many of the large- and small-scale features of the surface. The intensity of the reflected radiation varies with the aspect and magnitude of the surface slope to reveal the surface topography. The multi-channel nature of the Landsat data are exploited to distinguish between different surface types through their different spectral signatures, e.g. bare ice, glaze, snow, etc. Additional information on surface type can be gained at a coarser scale from other satellite-borne sensors such as the ESMR, SMMR, etc. Textural enhancement of the Landsat images reveals the surface micro-relief. Features in the enhanced images are compared to ground-truth data from the traverse surveys to produce a classification of the surface types across the images and to determine the magnitude of the surface topography and micro-relief observed. The images can then be used to monitor changes over time. Landsat imagery of the Antarctic ice sheet and glaciers exhibit features that move with the ice and others that are fixed in ...