Assessment of remote sensing technique for feature boundaries extraction with national digital cadastral database / (NDCDB) / Nurul Syazwani Safeei

Safeei, Nurul Syazwani (2018) Assessment of remote sensing technique for feature boundaries extraction with national digital cadastral database / (NDCDB) / Nurul Syazwani Safeei. Degree thesis, Universiti Teknologi Mara Perlis.

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Abstract

The usefulness of remote sensing in extracting and updating the land information can plays an important role in cadastral surveying (Z. Ali & Ahmed, 2013). Sometimes, traditional fiedwork and manual digitizing for cadastral surveying may difficult to be conducted due to cost, time and labor (Wassie, 2016).The aim of this study to assess the use of remote sensing application in extracting feature boundaries and comparing it with National Digital Cadastral Database (NDCDB). In this study, SPOT 6 satellite image and NDCDB data were used. The SPOT 6 satellite image was obtained from the Remote Sensing Agency Malaysia and NDCDB data acquired from Department of Survey and Mapping. In addition, the software used in this study was ERDAS, MATLAB and ArcGIS. Based on this research, the result showed the accuracy comparison between extracted boundaries of imagery and NDCDB data based on area and perimeter. This research was getting insight the potential of remote sensing technique in extraction of feature boundaries.

Item Type: Thesis (Degree)
Creators:
CreatorsEmail
Safeei, Nurul SyazwaniUNSPECIFIED
Subjects: G Geography. Anthropology. Recreation > GA Mathematical geography. Cartography
T Technology > TD Environmental technology. Sanitary engineering > Remote sensing
Divisions: Universiti Teknologi MARA, Perlis > Arau Campus > Faculty of Architecture, Planning and Surveying
Item ID: 20581
Uncontrolled Keywords: Remote sensing technique ; National Digital Cadastral Database / (NDCDB) ; Land boundaries
Last Modified: 17 Jul 2018 03:38
Depositing User: Perpustakaan Dato' Jaafar Hassan UiTM Cawangan Perlis
URI: http://ir.uitm.edu.my/id/eprint/20581

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