Toggle Main Menu Toggle Search

Open Access padlockePrints

Comparing of GPS results from different processing of ambiguity parameters - A case study in the Amery Ice Shelf region, East Antarctica

Lookup NU author(s): Professor Matt King


Full text for this publication is not currently held within this repository. Alternative links are provided below where available.


This paper is an extension of the paper by King et al. (2000), where two techniques were described to process GPS data collected on a floating Antarctic ice shelf. King et al. (2000) showed good agreement for the vertical component using both processing techniques but the comparison of horizontal components was not included. In this paper, we give a more complete comparison between the two processing approaches and the resulting comparison of horizontal coordinates. Due to particular disadvantages of GPS processing in the Amery Ice Shelf (AIS) region, solutions with floating ambiguity terms are usually used in the analysis instead of fixed ambiguity solutions. However, we demonstrate that when different treatments of ambiguity parameters are used in the processing, significant effects on the horizontal coordinate accuracy are seen. More importantly, ambiguity float solutions yield misleading periodical signals in the horizontal components. This could lead to a misinterpretation of geophysical processes, such as ice shelf dynamics.yield higher spatial and spectral details from both LISS-III and SAR images, giving a more complete view on different mangrove species associated with the estuarine complex system. The wavelet transform was not identified as an efficient method to combine optical and microwave data sets because it essentially distorted the spatial details of the original images.

Publication metadata

Author(s): Nguyen LN, Coleman R, King MA, Morgan P

Publication type: Article

Publication status: Published

Journal: International Journal of Geoinformatics

Year: 2005

Volume: 1

Issue: 3

Pages: 45-51

ISSN (print): 1686-6576

Publisher: Association for Geoinformation Technology