Geoscience Reference
In-Depth Information
Chapter 18
Case Study on Point Data
The objective of this case study is to present a work flow for processing LiDAR data
using a fully open source toolbox. We have selected SPDLib because it is: (1) fully
open source with no limitations on its use or data size; (2) mature; and (3) provides
considerable functionality. SPDLib also supports full waveform LiDAR datasets but
this is not covered within this case study.
The workflow covers a number of important steps when dealing with LiDAR
data. It starts from the raw LAS file, which is converted to the SPD format (see
data viewer. We then classify the ground returns and create a digital surface (DSM),
terrain (DTM) and canopy height model (CHM). Finally we show some examples
of basic canopy metrics.
18.1 Convert Data to SPD Format
The first step is to convert the input LAS file
1
to an SPD file.
spdtranslate --if LAS --of SPD -b 10 -x FIRST_RETURN -i
→
LiDAR.las -o LiDAR_10m.spd
--if LAS
Input point data format is LAS.
--of SPD
Output point data format is SPD.
-b 10
Bin size for SPD file index is 10 m.
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