Książka Methodology for Processing Raw Lidar Data to Support Urban Flood Modelling Framework Ahmad Fikri Bin Abdullah

Methodology for Processing Raw Lidar Data to Support Urban Flood Modelling Framework

UNESCO-IHE PhD Thesis

Język: Angielski
Oprawa: Miękka
Dostępność: 50 % szansa
Przeszukamy cały świat
478.16
The consequences of recent floods and flash floods in many parts of the world have been devastating....

Informacje o książce

Język
Angielski
Oprawa
Książka - Miękka
Data wydania
2012
strony
214
EAN
9780415624756
ISBN
9780415624756
Enbook ID
06706049
Waga
400

Pełny opis

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).

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