Cadastral database updating: a propose method of legacy cadastral data combination / Mohamad Saiful Abdullah

Abdullah, Mohamad Saiful (2022) Cadastral database updating: a propose method of legacy cadastral data combination / Mohamad Saiful Abdullah. Degree thesis, Universiti Teknologi Mara Perlis.


NDCDB is one of the databased which have developed at JUPEM for the purpose of survey data storage. Before the databased upgrade, the data survey was in hardcopy which contain various data legacy. The change of the system was recommending the NDCDB as the databased to control survey data. However, this databased not fair to low accuracy legacy dataset which is ignore the dataset 3rd class. Low accuracy for 3rd class will be affect other hight accuracy dataset. For the updating the databased should appear the lot 3rd class. Effect for hight accuracy dataset can be reduce with use the appropriate weight. Aim of this study are to produce new dataset National Digital Cadastral Survey Database (NDCDB) show all geometry or lot legacy dataset without any bias. To achieve the aim, the objective of this study is to analyse effect of legacy class survey 3rd class in combination dataset using bearing, investigate effect of weight use for 3rd class in survey class using angle method. Proposed value of weight in data legacy in dataset for 3rd class survey based on input bearing and angle observation. The study area will be carried out at Perlis Malaysia. To accomplish the objective, this software; StarNet are used to process the data which must determine the standard deviation and residual of the error. This study will help the Department of Survey and Mapping Malaysia (JUPEM) in improve the database NDCDB with the data combination legacy data survey.


Item Type: Thesis (Degree)
Email / ID Num.
Abdullah, Mohamad Saiful
Subjects: G Geography. Anthropology. Recreation > G Geography (General) > Geomatics
G Geography. Anthropology. Recreation > GA Mathematical geography. Cartography > Digital mapping
Divisions: Universiti Teknologi MARA, Perlis > Arau Campus > Faculty of Architecture, Planning and Surveying
Programme: Surveying Science and Geomatics
Keywords: Cadastral Database ; Method ; Legacy Cadastral Data Combination
Date: 7 July 2022
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