Modelling of hybrid digital elevation model / Mohd Raimi Irfan Roselan

Irfan Roselan, Mohd raimi (2021) Modelling of hybrid digital elevation model / Mohd Raimi Irfan Roselan. Degree thesis, Universiti Teknologi Mara Perlis.

Abstract

Digital Elevation Model (DEM) are commonly produced through different surveying approaches that varied in processing techniques, cost and time. DEM is used to represent the terrain of the earth. On this century, Unnamed Aerial Vehicle (UAV) has been widely used in many surveying applications as a data acquisition. There are two (2) types of UAV which are multi-rotor and fixed wing. Multi-rotor UAV is used as an instrument for data acquisition for this study because it has all the specification for monitoring and mapping. The DEM in the study was collected and evaluated and corrected by using the levelling elevation points observed by Global Navigation Satellite System (GNSS). Therefore, in this research study is to improve the DEM integrate with GNSS levelling by using parametric model. The evaluation and correction method of the DEM were based on the parametric model. There are five (5) parametric model have been tested to eliminate the error in order to improve the DEM. The results reveal that the Remove Mean has higher accuracy than the other four (4) in parametric model. This approach will be used to recommend for a new DEM in the future, and it can be applied for making a high accuracy DEM to model the earth’s terrain.

Metadata

Item Type: Thesis (Degree)
Creators:
Creators
Email / ID Num.
Irfan Roselan, Mohd raimi
2017800064
Subjects: G Geography. Anthropology. Recreation > G Geography (General) > Aerial geography
G Geography. Anthropology. Recreation > G Geography (General) > Geographic information systems
Divisions: Universiti Teknologi MARA, Perlis > Arau Campus > Faculty of Architecture, Planning and Surveying
Programme: Science and Geomatics
Keywords: Modelling ; Hybrid Digital Elevation Model ; Unnamed Aerial Vehicle (UAV)
Date: 4 March 2021
URI: https://ir.uitm.edu.my/id/eprint/42905
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