Overview of current LiDAR filtering algorithms and filters test for urban flood application

Urban flooding is serious problem around the world and more severe in South East Asia because of heavier rainfall, increase of impervious area and lower standard of drainage system. The use of accurate hydrological and hydraulics model to simulate urban flooding is e...

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Main Authors: Abdullah, Ahmad Fikri, Vojinovic, Zoran, Abdul Rahman, Alias
Format: Book Section
Language:English
Published: Penerbit UTM 2008
Subjects:
Online Access:http://eprints.utm.my/id/eprint/24964/1/AliasAbdulRahman2008_OverviewofCurrentLiDARFilteringAlgorithms.pdf
http://eprints.utm.my/id/eprint/24964/
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Institution: Universiti Teknologi Malaysia
Language: English
id my.utm.24964
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spelling my.utm.249642017-10-10T01:38:08Z http://eprints.utm.my/id/eprint/24964/ Overview of current LiDAR filtering algorithms and filters test for urban flood application Abdullah, Ahmad Fikri Vojinovic, Zoran Abdul Rahman, Alias GA Mathematical geography. Cartography Urban flooding is serious problem around the world and more severe in South East Asia because of heavier rainfall, increase of impervious area and lower standard of drainage system. The use of accurate hydrological and hydraulics model to simulate urban flooding is essential in order to understand the phenomena and help decision makers to identify suitable solution in order to reduce it. Digital elevation model (DEM) is one of the important input parameter in urban flood application because it will affect flow direction, flow velocity, flood extend and flood depth. LiDAR offer accurate DEM for large area within short time. Penerbit UTM 2008 Book Section PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/24964/1/AliasAbdulRahman2008_OverviewofCurrentLiDARFilteringAlgorithms.pdf Abdullah, Ahmad Fikri and Vojinovic, Zoran and Abdul Rahman, Alias (2008) Overview of current LiDAR filtering algorithms and filters test for urban flood application. In: Advances Toward 3D GIS. Penerbit UTM , Johor, pp. 355-366. ISBN 978-983-52-0584-24
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic GA Mathematical geography. Cartography
spellingShingle GA Mathematical geography. Cartography
Abdullah, Ahmad Fikri
Vojinovic, Zoran
Abdul Rahman, Alias
Overview of current LiDAR filtering algorithms and filters test for urban flood application
description Urban flooding is serious problem around the world and more severe in South East Asia because of heavier rainfall, increase of impervious area and lower standard of drainage system. The use of accurate hydrological and hydraulics model to simulate urban flooding is essential in order to understand the phenomena and help decision makers to identify suitable solution in order to reduce it. Digital elevation model (DEM) is one of the important input parameter in urban flood application because it will affect flow direction, flow velocity, flood extend and flood depth. LiDAR offer accurate DEM for large area within short time.
format Book Section
author Abdullah, Ahmad Fikri
Vojinovic, Zoran
Abdul Rahman, Alias
author_facet Abdullah, Ahmad Fikri
Vojinovic, Zoran
Abdul Rahman, Alias
author_sort Abdullah, Ahmad Fikri
title Overview of current LiDAR filtering algorithms and filters test for urban flood application
title_short Overview of current LiDAR filtering algorithms and filters test for urban flood application
title_full Overview of current LiDAR filtering algorithms and filters test for urban flood application
title_fullStr Overview of current LiDAR filtering algorithms and filters test for urban flood application
title_full_unstemmed Overview of current LiDAR filtering algorithms and filters test for urban flood application
title_sort overview of current lidar filtering algorithms and filters test for urban flood application
publisher Penerbit UTM
publishDate 2008
url http://eprints.utm.my/id/eprint/24964/1/AliasAbdulRahman2008_OverviewofCurrentLiDARFilteringAlgorithms.pdf
http://eprints.utm.my/id/eprint/24964/
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