Sorted pulse data (SPD) library. Part I: a generic file format for LiDAR data from pulsed laser systems in terrestrial environments

Bunting, Peter, Armston, John, Lucas, Richard M. and Clewley, Daniel (2013) Sorted pulse data (SPD) library. Part I: a generic file format for LiDAR data from pulsed laser systems in terrestrial environments. Computers & Geosciences, 56 197-206. doi:10.1016/j.cageo.2013.01.019


Author Bunting, Peter
Armston, John
Lucas, Richard M.
Clewley, Daniel
Title Sorted pulse data (SPD) library. Part I: a generic file format for LiDAR data from pulsed laser systems in terrestrial environments
Journal name Computers & Geosciences   Check publisher's open access policy
ISSN 0098-3004
1873-7803
Publication date 2013-07-01
Sub-type Article (original research)
DOI 10.1016/j.cageo.2013.01.019
Open Access Status DOI
Volume 56
Start page 197
End page 206
Total pages 10
Place of publication United Kingdom
Publisher Pergamon
Language eng
Subject 1710 Information Systems
1903 Computers in Earth Sciences
Abstract The management and spatial-temporal integration of LiDAR data from different sensors and platforms has been impeded by a lack of generic open source tools and standards. This paper presents a new generic file format description (sorted pulse data; SPD) for the storage and processing of airborne and terrestrial LiDAR data. The format is designed specifically to support both traditional discrete return and waveform data, using a pulse (rather than point) based data model. The SPD format also supports 2D spatial indexing of the pulses, where pulses can be referenced using cartesian, spherical, polar or scan geometry coordinate systems and projections. These indexes can be used to significantly speed up data processing whilst allowing the data to be appropriately projected and are particularly useful when analysing and interpreting TLS data. The format is defined within a HDF5 file, which provides a number of benefits including broad support across a wide range of platforms and architectures and support for file compression. An implementation of the format is available within the open source sorted pulse data software library (SPDLib; http://www.spdlib.org).
Formatted abstract
The management and spatial-temporal integration of LiDAR data from different sensors and platforms has been impeded by a lack of generic open source tools and standards. This paper presents a new generic file format description (sorted pulse data; SPD) for the storage and processing of airborne and terrestrial LiDAR data. The format is designed specifically to support both traditional discrete return and waveform data, using a pulse (rather than point) based data model. The SPD format also supports 2D spatial indexing of the pulses, where pulses can be referenced using cartesian, spherical, polar or scan geometry coordinate systems and projections. These indexes can be used to significantly speed up data processing whilst allowing the data to be appropriately projected and are particularly useful when analysing and interpreting TLS data. The format is defined within a HDF5 file, which provides a number of benefits including broad support across a wide range of platforms and architectures and support for file compression. An implementation of the format is available within the open source sorted pulse data software library (SPDLib; http://www.spdlib.org).

Highlights ► A new open file format for the storage and processing of LiDAR. ► Specific support for the storage of waveform and discrete return data. ► Development of a pulsed based structure with simplifies many situations. ► Explicit inclusion of a spatial index which supports multiple projections.
Keyword LiDAR
Storage
Pulse
Waveform
Sorted
SPD
Airborne LiDAR
Forest
Identification
Terrain
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: School of Geography, Planning and Environmental Management Publications
Official 2014 Collection
 
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Citation counts: TR Web of Science Citation Count  Cited 19 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 21 times in Scopus Article | Citations
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Created: Sun, 28 Jul 2013, 10:09:39 EST by System User on behalf of School of Geography, Planning & Env Management