A Review on Legal Traceability of GNSS Measurements in the Malaysian Cadastral Practice

Gill, James B.; Shariff, N. S.; Omar, Kamaludin Mohd; Din, Ami Hassan Md; Amin, Zulkarnaini Mat

doi:10.5194/isprs-archives-xlii-4-w1-191-2016

Cited by 2 publications

(2 citation statements)

References 9 publications

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“…Further research on traceability is discussed by Gill et al, (2016). Basically, researchers agree with the overall regulatory and cadastral survey guidelines for Malaysia.…”

Section: Datum Traceabilitymentioning

confidence: 66%

Cadastral Positioning Accuracy Improvement (Pai): A Case Study of Pre-Requisite Data Quality Assurance

Hashim

Omar

Omar³

et al. 2019

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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Abstract. Nowadays, there is an increasing need for comprehensive spatial data management especially digital cadastral database (DCDB). Previously, the cadastral database is in hard copy map, then converted into digital format and subsequently updated. Theoretically, these legacy datasets have relatively low positional accuracy caused by limitation of traditional measurement, adjustment technique and technology changes over time. With the growth of spatial based technology especially Geographical Information System (GIS) and Global Navigation Satellite System (GNSS) the Positional Accuracy Improvement (PAI) to the legacy cadastral database is inevitable. PAI is the refining process of the geometry feature in a geospatial dataset through integration between legacy and higher accuracy dataset to improve its actual position. However, by merely integrating both datasets will lead to a distortion of the relative geometry. Thus, an organized method is required to minimize inherent errors in fitting to the new accurate dataset. The focus of this study is to design a comprehensive data preparation for legacy cadastral datasets improvement. The elements of datum traceability, cadastral error propagation and weightage setting in adjustment will be focused to achieve the targeted objective. The proposed result can be applied as a foundation for PAI approach in cadastral database modernization.

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“…Further research on traceability is discussed by Gill et al, (2016). Basically, researchers agree with the overall regulatory and cadastral survey guidelines for Malaysia.…”

Section: Datum Traceabilitymentioning

confidence: 66%

Cadastral Positioning Accuracy Improvement (Pai): A Case Study of Pre-Requisite Data Quality Assurance

Hashim

Omar

Omar³

et al. 2019

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

Self Cite

View full text Add to dashboard Cite

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“…Gill et al [15] explored the potential need for the legal traceability of GNSS measurements, with particular reference to the CORS Malaysia network (MyRTKnet), to obtain standard regulations and guidelines for the cadastral survey (i.e., Cadastral Survey Regulations 2009) to enclose GNSS measurements in NRTK mode. Erenoglu [16] evaluated the most commonly used GPS/GNSS methods for cadastral surveying in Turkey, highlighting the benefits of the NRTK method.…”

Section: Introductionmentioning

confidence: 99%

On the Accuracy of Cadastral Marks: Statistical Analyses to Assess the Congruence among GNSS-Based Positioning and Official Maps

Dardanelli

Maltese

2022

Remote Sensing

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Cadastral marks constitute a dense source of information for topographical surveys required to update cadastral maps. Historically, in Italy, cadastral marks have been the cartographic network for the implementation of mapping updates. Different sources of cadastral marks can be used by cadastral surveyors. In recent years, the cadastre is moving toward a digital world, and with the advancement of surveying technology, GNSS CORS technology has emerged in the positioning of cadastral marks. An analysis of congruence among cadastral marks using GNSS CORS and official maps is missing. Thus, this work aims to analyze the positional accuracy of some cadastral marks, located in Palermo, Italy, with regard to the official maps produced by the cadastral bureau, the local cartography, and Google Earth maps. A survey of 60 cadastral marks was carried out by conventional GNSS NRTK procedures, with the lateral offset method due to their materialization (mostly building edges), which is not always directly detectable. The cadastral marks’ positioning was obtained from different maps: cadastral maps and related monographic files, numerical technical maps, and Google Earth maps, to check their coordinate congruence. A statistical approach was performed to check whether the distribution frequencies of the coordinate’s differences belonged to the bivariate normal distribution for the planimetric coordinates and the univariate normal distribution for the altimetric component. The results show that the hypothesis of a normal distribution is confirmed in most of the pairs, and specifically, most of the analyses indicate that the highest congruencies seem to characterize the coordinates determined by using the GNSS and with those that can be deduced by the numerical technical maps. The results obtained experimentally show centimetric accuracies obtained by the GNSS NRTK survey, in both the planimetric and altimetric components, while the accuracies obtained from the georeferencing of the cadastral maps show differences in the order of 0.4–0.8 m. Meanwhile, the differences resulting from comparing the technical cartography produced by the local authority and Google Earth maps show greater criticalities, with a metric order of magnitude.

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A Review on Legal Traceability of GNSS Measurements in the Malaysian Cadastral Practice

Cited by 2 publications

References 9 publications

Cadastral Positioning Accuracy Improvement (Pai): A Case Study of Pre-Requisite Data Quality Assurance

Cadastral Positioning Accuracy Improvement (Pai): A Case Study of Pre-Requisite Data Quality Assurance

On the Accuracy of Cadastral Marks: Statistical Analyses to Assess the Congruence among GNSS-Based Positioning and Official Maps

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