A Methodology for Processing Raw Lidar Data to Support Urban Flood Modelling Framework - UNESCO-IHE PhD Thesis (Paperback)

The consequences of recent floods and flash floods in many parts of the world have been devastating. One way to improving flood management practice is to invest in data collection and modelling activities which enable an understanding of the functioning of a system and the selection of optimal mitigation measures. A Digital Terrain Model (DTM) provides the most essential information for flood managers. Light Detection and Ranging (LiDAR) surveys which enable the capture of spot heights at a spacing of 0.5m to 5m with a horizontal accuracy of 0.3m and a vertical accuracy of 0.15m can be used to develop high accuracy DTM but needs careful processing before using it for any application.This book presents the augmentation of an existing Progressive Morphological filtering algorithm for processing raw LiDAR data to support a 1D/2D urban flood modelling framework. The key characteristics of this improved algorithm are: (1) the ability to deal with different kinds of buildings; (2) the ability to detect elevated road/rail lines and represent them in accordance to the reality; (3) the ability to deal with bridges and riverbanks; and (4) the ability to recover curbs and the use of appropriated roughness coefficient of Manning's value to represent close-to-earth vegetation (e.g. grass and small bush).

General

Imprint:	Crc Press
Country of origin:	United Kingdom
Release date:	April 2012
First published:	2012
Authors:	Ahmad Fikri Bin Abdullah
Dimensions:	246 x 174mm (L x W)
Format:	Paperback
Pages:	214
ISBN-13:	978-0-415-62475-6
Categories:	Books > Computing & IT > General theory of computing > General Books > Computing & IT > Applications of computing > General Promotions
LSN:	0-415-62475-4
Barcode:	9780415624756

Is the information for this product incomplete, wrong or inappropriate? Let us know about it.

Does this product have an incorrect or missing image? Send us a new image.

Is this product missing categories? Add more categories.

Review This Product

No reviews yet - be the first to create one!