Forming the accurate cadaster dataset from low legacy database / Mohamad Azizi Osman

Compared to the latest positioning technologies, such as those based on Global Navigation Satellite Systems (GNSS), these data sets typically have relatively low position precision. The discrepancies between the legacy data set and GNSS positioning solutions are becoming increasingly apparent. Many...

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Main Author:	Osman, Mohamad Azizi
Format:	Thesis
Language:	English
Published:	2019
Subjects:	Geographic information systems Geospatial data
Online Access:	https://ir.uitm.edu.my/id/eprint/63788/1/63788.pdf
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spelling	my-uitm-ir.637882022-09-26T03:03:01Z Forming the accurate cadaster dataset from low legacy database / Mohamad Azizi Osman 2019 Osman, Mohamad Azizi Geographic information systems Geospatial data Compared to the latest positioning technologies, such as those based on Global Navigation Satellite Systems (GNSS), these data sets typically have relatively low position precision. The discrepancies between the legacy data set and GNSS positioning solutions are becoming increasingly apparent. Many data providers are therefore looking for ways to update their spatial data sets. The rapid development and wide- ranging applications of satellite positioning technology have not necessarily made the basic assumption “control systems remain stable and unchanged”. Positional accuracy improvement (PAI) is a process of improving the position of the geometric coordinates of a feature in a geospatial dataset to represent its actual position. This current position concerns the absolute position within the specific coordinate system and its relationship to the characteristics of the district. The PAI concept is inevitable, in particular, in the cadastral database, because space based technology is growing especially with the Geographic Information Systems (GIS) and the GNSS (Global Navigation Satellite System). Integrating legacy data sets with higher precision data sets such as GNSS observation is a potential way to improve the legacy data sets. By merely integrating both datasets, however, the relative geometry will be distorted. The improved data set should be further processed to minimize inherent errors and to fit the new accurate data set. The main focus of this study is to describe a method of angular Least Square Adjustment (LSA) for the legacy data set PAI process. The existing high-precision dataset known as the National Digital Cadastral Database (NDCDB) is then used as a benchmark to validate the results. It was found that the proposed technique is highly possible to improve the positional accuracy of legacy spatial data sets. 2019 Thesis https://ir.uitm.edu.my/id/eprint/63788/ https://ir.uitm.edu.my/id/eprint/63788/1/63788.pdf text en public degree Universiti Teknologi MARA, Perlis Faculty of Architecture, Planning and Surveying
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
topic	Geographic information systems Geospatial data
spellingShingle	Geographic information systems Geospatial data Osman, Mohamad Azizi Forming the accurate cadaster dataset from low legacy database / Mohamad Azizi Osman
description	Compared to the latest positioning technologies, such as those based on Global Navigation Satellite Systems (GNSS), these data sets typically have relatively low position precision. The discrepancies between the legacy data set and GNSS positioning solutions are becoming increasingly apparent. Many data providers are therefore looking for ways to update their spatial data sets. The rapid development and wide- ranging applications of satellite positioning technology have not necessarily made the basic assumption “control systems remain stable and unchanged”. Positional accuracy improvement (PAI) is a process of improving the position of the geometric coordinates of a feature in a geospatial dataset to represent its actual position. This current position concerns the absolute position within the specific coordinate system and its relationship to the characteristics of the district. The PAI concept is inevitable, in particular, in the cadastral database, because space based technology is growing especially with the Geographic Information Systems (GIS) and the GNSS (Global Navigation Satellite System). Integrating legacy data sets with higher precision data sets such as GNSS observation is a potential way to improve the legacy data sets. By merely integrating both datasets, however, the relative geometry will be distorted. The improved data set should be further processed to minimize inherent errors and to fit the new accurate data set. The main focus of this study is to describe a method of angular Least Square Adjustment (LSA) for the legacy data set PAI process. The existing high-precision dataset known as the National Digital Cadastral Database (NDCDB) is then used as a benchmark to validate the results. It was found that the proposed technique is highly possible to improve the positional accuracy of legacy spatial data sets.
format	Thesis
qualification_level	Bachelor degree
author	Osman, Mohamad Azizi
author_facet	Osman, Mohamad Azizi
author_sort	Osman, Mohamad Azizi
title	Forming the accurate cadaster dataset from low legacy database / Mohamad Azizi Osman
title_short	Forming the accurate cadaster dataset from low legacy database / Mohamad Azizi Osman
title_full	Forming the accurate cadaster dataset from low legacy database / Mohamad Azizi Osman
title_fullStr	Forming the accurate cadaster dataset from low legacy database / Mohamad Azizi Osman
title_full_unstemmed	Forming the accurate cadaster dataset from low legacy database / Mohamad Azizi Osman
title_sort	forming the accurate cadaster dataset from low legacy database / mohamad azizi osman
granting_institution	Universiti Teknologi MARA, Perlis
granting_department	Faculty of Architecture, Planning and Surveying
publishDate	2019
url	https://ir.uitm.edu.my/id/eprint/63788/1/63788.pdf
_version_	1783735347185713152

Forming the accurate cadaster dataset from low legacy database / Mohamad Azizi Osman

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