Skip to main content

LAS 1.0/1.1 LiDAR data format translation

Project description

libLAS is a BSD library for reading and writing ASPRS LAS version 1.0 and 1.1 data. LAS-formatted data is heavily used in LiDAR processing operations, and the LAS format is a sequential binary format used to store data from sensors and as intermediate processing storage by some applications.

libLAS is available under the terms of the BSD License. It builds on work by Martin Isenburg and Jonathan Shewchuk of the University of North Carolina in their LAStools project. The base C++ library that reads and writes LAS 1.0/1.1 data was replaced with new development, and Martin’s tools were ported to use this new code.

libLAS’ initial development was supported by the IGSB of the Iowa DNR for use in its state-wide LIDAR project.

FAQ

The FAQ is available from http://liblas.org/wiki/FAQ

State of the Library

libLAS provides excellent coverage of the ASPRS LAS 1.0 and 1.1 specifications, and it provides support for copying variable length records from one file to another. As of 0.9.7, support for creating your own variable length records is limited to the C++ API only. libLAS concentrates on reading and writing point data for processing pipelines from C++, C, and Python. Contact the Authors if you have money burning a hole in your pocket to implement more sophisticated support for LAS format items.

libLAS also provides support for reading spatial reference system descriptions from LAS 1.0 and 1.1 files as of version 0.9.7. libgeotiff 1.2.5 must be linked with libLAS to provide reading support for spatial reference systems. The 0.9.7 Windows binaries come provided with libgeotiff, but those folks building libLAS on their own platforms must use the –with-geotiff configure-time switch to tell libLAS where the library is located.

Download

The latest version of libLAS can be downloaded from http://liblas.org/wiki/Releases

Documentation

LAS Format Specifications

The LAS Format Standard is maintained by ASPRS Standards Committee. LAS format standard documents are available in PDF format:

Library Documents

  • LAS Format Elements - comparison of elements of LAS Format 1.0 and 1.1

  • Software - list of geospatial software with reading and writing capabilities of LAS Format

  • Resources - list of LiDAR/LAS resources

  • Tutorials - Tutorials on C++ and Python APIs

Utilities

Development

Authors

The libLAS development team are:

Special thanks to Martin Isenburg and Jonathan Shewchuk for their LAStools pioneering implementation of the ASPRS LAS standard that made development of the libLAS library possible.

Subversion Tree

The SVN repository URL is available at http://liblas.org/svn

svn checkout http://liblas.org/svn/trunk/

Development Documentation

Information about Trac

Community

IRC

Find the libLAS developers on IRC on #liblas at Freenode.

Mailing Lists

License

libLAS is available under the terms of the BSD License. See License for a copy.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

libLAS-0.9.7.zip (25.7 kB view details)

Uploaded Source

libLAS-0.9.7.tar.gz (15.0 kB view details)

Uploaded Source

Built Distributions

libLAS-0.9.7.win32.exe (282.9 kB view details)

Uploaded Source

libLAS-0.9.7-py2.5.egg (233.3 kB view details)

Uploaded Source

libLAS-0.9.7-py2.4.egg (233.5 kB view details)

Uploaded Source

File details

Details for the file libLAS-0.9.7.zip.

File metadata

  • Download URL: libLAS-0.9.7.zip
  • Upload date:
  • Size: 25.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for libLAS-0.9.7.zip
Algorithm Hash digest
SHA256 23c44abb05459b8aecee057cfa52f87bcb07b7ec427314f060252c2b1f253fe0
MD5 a3ec7f575867c7473e023d51201241e2
BLAKE2b-256 573b072c64297f7b6c53d248bb983b5b9f6055821459324d047c2df73523e73a

See more details on using hashes here.

Provenance

File details

Details for the file libLAS-0.9.7.tar.gz.

File metadata

  • Download URL: libLAS-0.9.7.tar.gz
  • Upload date:
  • Size: 15.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for libLAS-0.9.7.tar.gz
Algorithm Hash digest
SHA256 c9adff6a1d88fc74fbb85646d9b9e104e605e8010c61937b64799018a447f195
MD5 67ae254da66f1c4e9fa6af1cd0f67241
BLAKE2b-256 83aac4092bf246200f2e6cc60358093cdf8e4b40ee2d66acddb72aea5cd85f7a

See more details on using hashes here.

Provenance

File details

Details for the file libLAS-0.9.7.win32.exe.

File metadata

  • Download URL: libLAS-0.9.7.win32.exe
  • Upload date:
  • Size: 282.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for libLAS-0.9.7.win32.exe
Algorithm Hash digest
SHA256 2cf911e36487fd35a631593fdc2a5da9d8bcb7268540715e43342b34d005fe20
MD5 ad63f4bbfe951cc7310a7c68a1217134
BLAKE2b-256 472c7d3f139e0450f93b6a0be49067844f73d8aaea7cd28d0766219e7a668bb6

See more details on using hashes here.

Provenance

File details

Details for the file libLAS-0.9.7-py2.5.egg.

File metadata

  • Download URL: libLAS-0.9.7-py2.5.egg
  • Upload date:
  • Size: 233.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for libLAS-0.9.7-py2.5.egg
Algorithm Hash digest
SHA256 2c0f6f560dd3fd3ed541cbe0b8a57d350c082e4f947873184798d1b4b0ff1fb3
MD5 e81098dc18391d167cfecd28d17dc969
BLAKE2b-256 3536a8b4030c7d92b15efba4417b80fae8bc2c819cb27e49ec2f542c77eed7ff

See more details on using hashes here.

Provenance

File details

Details for the file libLAS-0.9.7-py2.4.egg.

File metadata

  • Download URL: libLAS-0.9.7-py2.4.egg
  • Upload date:
  • Size: 233.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for libLAS-0.9.7-py2.4.egg
Algorithm Hash digest
SHA256 0c60c8ff57cd4e02d61f2c4277b1906523656cadf4d33b80bca2e4a552fd09c6
MD5 6acf39cf56604739d880d8c113db4adb
BLAKE2b-256 01a9bf6065961f57cdce0b4f4fe06b03ed0f5af211ced56842b3486b15986ed1

See more details on using hashes here.

Provenance

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page