Tropospheric delay estimation model using ground meteorological data and global positioning system observations

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Main Author: Mohd. Zaki, Mohd. Zahlan
Format: Thesis
Published: 2007
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id my-utm-ep.9744
record_format uketd_dc
spelling my-utm-ep.97442013-12-13T08:37:58Z Tropospheric delay estimation model using ground meteorological data and global positioning system observations 2007 Mohd. Zaki, Mohd. Zahlan TK Electrical engineering. Electronics Nuclear engineering 2007 Thesis http://eprints.utm.my/id/eprint/9744/ masters Universiti Teknologi Malaysia, Faculty of Geoinformation Science and Engineering Faculty of Geoinformation Science and Engineering
institution Universiti Teknologi Malaysia
collection UTM Institutional Repository
topic TK Electrical engineering
Electronics Nuclear engineering
spellingShingle TK Electrical engineering
Electronics Nuclear engineering
Mohd. Zaki, Mohd. Zahlan
Tropospheric delay estimation model using ground meteorological data and global positioning system observations
description
format Thesis
qualification_level Master's degree
author Mohd. Zaki, Mohd. Zahlan
author_facet Mohd. Zaki, Mohd. Zahlan
author_sort Mohd. Zaki, Mohd. Zahlan
title Tropospheric delay estimation model using ground meteorological data and global positioning system observations
title_short Tropospheric delay estimation model using ground meteorological data and global positioning system observations
title_full Tropospheric delay estimation model using ground meteorological data and global positioning system observations
title_fullStr Tropospheric delay estimation model using ground meteorological data and global positioning system observations
title_full_unstemmed Tropospheric delay estimation model using ground meteorological data and global positioning system observations
title_sort tropospheric delay estimation model using ground meteorological data and global positioning system observations
granting_institution Universiti Teknologi Malaysia, Faculty of Geoinformation Science and Engineering
granting_department Faculty of Geoinformation Science and Engineering
publishDate 2007
_version_ 1747814779127332864