Building footprint extraction based on insolation with topographic surface derived from LiDAR dataset / Nur Amalina Mohamed

Automatic building extraction has widely been used by many sectors in making their job easier. Example of this sector is land cover mapping, change detection, urban planning, disaster management and many other socioeconomic operations with the combination from remote sensing and GIS methods play an...

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Main Author:	Mohamed, Nur Amalina
Format:	Thesis
Language:	English
Published:	2020
Subjects:	Remote Sensing Geographic information systems
Online Access:	https://ir.uitm.edu.my/id/eprint/33489/1/33489.pdf
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id	my-uitm-ir.33489
record_format	uketd_dc
spelling	my-uitm-ir.334892020-11-18T09:14:21Z Building footprint extraction based on insolation with topographic surface derived from LiDAR dataset / Nur Amalina Mohamed 2020-01-11 Mohamed, Nur Amalina Remote Sensing Geographic information systems Automatic building extraction has widely been used by many sectors in making their job easier. Example of this sector is land cover mapping, change detection, urban planning, disaster management and many other socioeconomic operations with the combination from remote sensing and GIS methods play an important role in increasing the efficiency of their job. The manual digitization of building outlines is expensive and time-consuming and building footprint extraction is not complete due to covered with trees and cloud that may include the building’s rooftop. The main purpose of this research is identifying the building footprint from all the above ground information captured by LiDAR based on insolation and the objectives is to examine the slope and contour of surface and building roof derived from LiDAR point cloud data, to generate the insolation pattern based on derived topographic surface model, and to identify building footprint based on insolation. The ArcGIS software was used for process the building extraction and identifying characteristic of surface and terrain. The study area was in Taman Melati, Kuala Lumpur. The LiDAR points were used for this research by using solar radiation tools to establish building footprint. The result of this research is the slope and contour of surface and building roof and the building footprint extraction based on the Digital Surface Modelling (DSM). By using building footprint, it is providing the researcher to recognize the potential area for land use planning and urban development and investment in study area. 2020-01 Thesis https://ir.uitm.edu.my/id/eprint/33489/ https://ir.uitm.edu.my/id/eprint/33489/1/33489.pdf text en public degree Universiti Teknologi Mara Perlis Faculty of Architecture, Planning and Surverying (R)
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
topic	Remote Sensing Geographic information systems
spellingShingle	Remote Sensing Geographic information systems Mohamed, Nur Amalina Building footprint extraction based on insolation with topographic surface derived from LiDAR dataset / Nur Amalina Mohamed
description	Automatic building extraction has widely been used by many sectors in making their job easier. Example of this sector is land cover mapping, change detection, urban planning, disaster management and many other socioeconomic operations with the combination from remote sensing and GIS methods play an important role in increasing the efficiency of their job. The manual digitization of building outlines is expensive and time-consuming and building footprint extraction is not complete due to covered with trees and cloud that may include the building’s rooftop. The main purpose of this research is identifying the building footprint from all the above ground information captured by LiDAR based on insolation and the objectives is to examine the slope and contour of surface and building roof derived from LiDAR point cloud data, to generate the insolation pattern based on derived topographic surface model, and to identify building footprint based on insolation. The ArcGIS software was used for process the building extraction and identifying characteristic of surface and terrain. The study area was in Taman Melati, Kuala Lumpur. The LiDAR points were used for this research by using solar radiation tools to establish building footprint. The result of this research is the slope and contour of surface and building roof and the building footprint extraction based on the Digital Surface Modelling (DSM). By using building footprint, it is providing the researcher to recognize the potential area for land use planning and urban development and investment in study area.
format	Thesis
qualification_level	Bachelor degree
author	Mohamed, Nur Amalina
author_facet	Mohamed, Nur Amalina
author_sort	Mohamed, Nur Amalina
title	Building footprint extraction based on insolation with topographic surface derived from LiDAR dataset / Nur Amalina Mohamed
title_short	Building footprint extraction based on insolation with topographic surface derived from LiDAR dataset / Nur Amalina Mohamed
title_full	Building footprint extraction based on insolation with topographic surface derived from LiDAR dataset / Nur Amalina Mohamed
title_fullStr	Building footprint extraction based on insolation with topographic surface derived from LiDAR dataset / Nur Amalina Mohamed
title_full_unstemmed	Building footprint extraction based on insolation with topographic surface derived from LiDAR dataset / Nur Amalina Mohamed
title_sort	building footprint extraction based on insolation with topographic surface derived from lidar dataset / nur amalina mohamed
granting_institution	Universiti Teknologi Mara Perlis
granting_department	Faculty of Architecture, Planning and Surverying (R)
publishDate	2020
url	https://ir.uitm.edu.my/id/eprint/33489/1/33489.pdf
_version_	1783734241076445184

Building footprint extraction based on insolation with topographic surface derived from LiDAR dataset / Nur Amalina Mohamed

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