It takes the average reader 3 hours and 39 minutes to read A Methodology for Processing Raw LIDAR Data to Support Urban Flood Modelling Framework by Ahmad Fikri Bin Abdullah
Assuming a reading speed of 250 words per minute. Learn more
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).
A Methodology for Processing Raw LIDAR Data to Support Urban Flood Modelling Framework by Ahmad Fikri Bin Abdullah is 215 pages long, and a total of 54,825 words.
This makes it 73% the length of the average book. It also has 67% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 4 hours and 59 minutes to read A Methodology for Processing Raw LIDAR Data to Support Urban Flood Modelling Framework aloud.
A Methodology for Processing Raw LIDAR Data to Support Urban Flood Modelling Framework is suitable for students ages 12 and up.
Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.
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