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TimestampNameEmailOrganization
1. What are your major sources for surface scan point clouds?
2. What formats do you use to store point clouds?
3. What formats do you use to transfer point clouds (both internally and to external entities)?
4. What are your most common use cases for point clouds?
5. What are your main application areas for point clouds?
6. How do you store point clouds?
7. What attributes do your point clouds contain besides XYZ coordinates?
8. What conversion do you apply to the point clouds in order to use them?
9. Which temporal aspect of point clouds are relevant for you?
10. During what phase do you encounter interoperability challenges?
11. What do you consider the most important area of point cloud standardization?
12. What volume of point clouds have you managed/processed/stored/etc. in the last 12 month?
13. What tools do you use?
Comments:
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2/3/2016 11:29:38Peter van Oosterom
P.J.M.vanOosterom@tudelft.nl
TU Delft
Airborne LiDAR, Terrestrial Lidar (including Mobile Mapping), Indoor Laser Scanning, SONAR (single and multi-beam echo’s)
LAS (ASPRS), LAZ, ASCII, Oracle SDO_PC, PostgreSQL-PostGIS PCPATCH, PDAL-generated blocks, Flat table
LAS (ASPRS), LAZ, ASCIIVisualization
Water Management, Smart City
In a databaseNone
None, direct use of point clouds
Temporal granularity at data set (a ‘point cloud’) level, Temporal resolution / update frequency years
Storage / Management, Dissemination, Visualization / Interaction
Data Model, File Format / Encoding, DBMS / SQL, Web Service (WxxS) protocol
More than 1 billion (109) points
PDAL, Potree, LAStools, Esri ArcGIS, Oracle SDO_PC, PosgreSQL/PostGIS, MonetDB, FME
looking forward to results!
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2/4/2016 13:21:40Jay Hermann jhermann@harris.com Harris
Airborne LiDAR, Photogrammetry
LAS (ASPRS), LAZ, bpfLAS (ASPRS)
Visualization, Digital Terrain Modelling, Feature Extraction, GIS
Civil Engineering, Asset Management
In a database, In the cloud
Timestamp, Intensity, Classification
To features (vector object rafter detection/recognition), None, direct use of point clouds
Temporal granularity at data set (a ‘point cloud’) level, Temporal resolution / update frequency months, Temporal resolution / update frequency days, Monitoring applications, change detection
Change Reference System, Analysis / Simluation, Dissemination, Visualization / Interaction
File Format / Encoding, Web Service (WxxS) protocol
More than 1 trillion (10^12) points
Potree, PosgreSQL/PostGIS, environment lidar, qt modeler
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2/8/2016 10:31:00MORREALE
morreale.jean.roc@pasdecalais.fr
Conseil Dép. du Pas de Calais
Airborne LiDAR, Photogrammetry
LAS (ASPRS), LAZ, PostgreSQL-PostGIS PCPATCH
LAS (ASPRS), LAZ
Digital Terrain Modelling, GIS
archeology
In a file on a network drive, In a database
Timestamp, Colour, Classification
To regular grid (raster), Level of Detail (LoD) representation
Temporal resolution / update frequency years
Combining Data from multiple source, Analysis / Simluation
Data Model, File Format / Encoding
More than 100 million (10^6) points
PDAL, Potree, LAStools, GRASS, PosgreSQL/PostGIS, cloudcompare
9
2/8/2016 10:47:05Matthias
matthias_mueller@tu-dresden.de
TUD
Airborne LiDAR, Photogrammetry
LAS (ASPRS), ASCIILAS (ASPRS), ASCII
Digital Terrain Modelling, Feature Extraction, GIS
Smart City, Civil Engineering
In a file on a computer, In a file on a network drive
Timestamp, Colour
To regular grid (raster), Level of Detail (LoD) representation
Temporal granularity at data set (a ‘point cloud’) level, Temporal resolution / update frequency years, Temporal resolution / update frequency months, Monitoring applications, change detection
Storage / Management, Combining Data from multiple source, Change Reference System
Data Model, File Format / Encoding
More than 1 billion (10^9) points
LAStools, Esri ArcGIS, PCL
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2/8/2016 10:51:34DAVID MALTBYdavid@surveymbs.comMBS SURVEY SOFTWARE
Terrestrial Lidar (including Mobile Mapping)
E57E573D BUILDING MODELSDAYLIGHT PLANNING
In a file on a network drive, REMOVABLE DRIVE
Intensity
None, direct use of point clouds
Temporal granularity at data set (a ‘point cloud’) level
Storage / Management, DISSEMINATION
NO OPINION
More than 1 trillion (10^12) points
Leica CloudWorx, UNDET
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2/8/2016 10:51:57Sam Meeks.meek@helyx.co.ukHelyx SIS
Airborne LiDAR, Terrestrial Lidar (including Mobile Mapping), Indoor Laser Scanning
LAS (ASPRS), LAZ, ASCII, PLY, Flat table
LAS (ASPRS), E57, ASCII, PLY
Visualization, Digital Terrain Modelling
Civil EngineeringIn a file on a computer
Timestamp, Intensity, Colour
To TIN, None, direct use of point clouds
Monitoring applications, change detection
Storage / Management, Combining Data from multiple source, Dissemination, Visualization / Interaction
Data Model, Web Service (WxxS) protocol
More than 100 million (10^6) points
Esri ArcGIS, CloudCompare
Used a lot in previous work, mainly for internal and external building mapping using a lidar scanner. Are web services suitable for this because of the large data volumes? Perhaps engineering products or sections on the fly could be interesting.
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2/8/2016 11:10:47Gene Roe
gene.roe@lidarnews.com
Lidar News
Terrestrial Lidar (including Mobile Mapping)
LAS (ASPRS), E57, ASCIILAS (ASPRS), E57
Visualization, Digital Terrain Modelling, Feature Extraction
Civil Engineering, Asset Management
In a file on a network drive
Intensity, Colour, Classification
To features (vector object rafter detection/recognition)
Monitoring applications, change detection
Storage / Management, Combining Data from multiple source
Data Model, File Format / Encoding
More than 1 billion (10^9) points
Esri ArcGIS, Bentley Pointools, Leica CloudWorx
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2/8/2016 11:37:35Sjoerd Brandsma
sbrandsma@cyclomedia.com
CycloMedia
Terrestrial Lidar (including Mobile Mapping), Photogrammetry
LAZ, PLY, Own formatLAZ, Own format
Visualization, Feature Extraction, Intermediate product for 3D textured mesh reconstruction
Smart City, Asset Management
In a file on a network drive
Timestamp, Colour, Accuracy (stddev)
To features (vector object rafter detection/recognition), None, direct use of point clouds, simplification, 3d delaunay triangulation
Temporal granularity at data set (a ‘point cloud’) level, Temporal resolution / update frequency months
Storage / Management, Combining Data from multiple source, Analysis / Simluation, Visualization / Interaction
Data Model, File Format / Encoding, DBMS / SQL, Web Service (WxxS) protocol
More than 100 million (10^6) points
Potree, LAStools, Esri ArcGIS, PosgreSQL/PostGIS, PCL, FME, Own software
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2/8/2016 11:38:46Peter Baumann
baumann@rasdaman.com
Jacobs University
Photogrammetry, Subsurface Point Cloud from Seismic
databaseASCII
Visualization, Digital Terrain Modelling
researchIn a databaseNoneTo regular grid (raster)
Temporal granularity at point level, Monitoring applications, change detection
Data Acquisition, Change Reference System
Data Model, DBMS / SQL, Web Service (WxxS) protocol
More than 100 million (10^6) points
Fledermaus
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2/8/2016 11:43:42Howard Butlerhoward@hobu.coHobu, Inc.Airborne LiDAR
LAS (ASPRS), LAZ, PCD, ASCII, PLY, Oracle SDO_PC, PostgreSQL-PostGIS PCPATCH, PDAL-generated blocks
LAZ, PDAL-generated blocks
Visualization, Digital Terrain Modelling
Hydrology, Civil Engineering
In a database, In the cloud
Timestamp, Intensity, Colour, Classification, Pulse Form, Pulse Count, Direction and Length of Scanline
To regular grid (raster), Level of Detail (LoD) representation
Temporal granularity at data set (a ‘point cloud’) level, Temporal resolution / update frequency years
Storage / Management, Dissemination, Visualization / Interaction
File Format / Encoding, Web Service (WxxS) protocol
More than 1 trillion (10^12) points
PDAL, Potree, LAStools, Oracle SDO_PC, PosgreSQL/PostGIS, PCL
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2/8/2016 11:48:06Hans Heidemannkheidemann@usgs.govUSGS/EROSAirborne LiDARLAS (ASPRS), LAZLAS (ASPRS), LAZ
Visualization, Digital Terrain Modelling, Feature Extraction
Forestry, Hydrology
In a file on a computer, In a file on a network drive
Timestamp, Intensity, Colour, Classification, Pulse Form, Pulse Count, Direction and Length of Scanline, We keep everything we receive
To regular grid (raster), To TIN, Level of Detail (LoD) representation, To features (vector object rafter detection/recognition)
Temporal granularity at point level, Temporal granularity at data set (a ‘point cloud’) level
Combining Data from multiple source, Change Reference System, Analysis / Simluation, Dissemination, Visualization / Interaction
Data Model, File Format / Encoding, Web Service (WxxS) protocol
More than 1 trillion (10^12) points
PDAL, LAStools, GRASS, Esri ArcGIS, TerraSolid, LP360, VG4D, ENVI/IDL, C++
Our role at the USGS is a bit different from other users, as we are tasked with handling, managing, and exploiting data from ALL vendors, systems and other end users. And doing so in a project-agnostic, somewhat seamless manner.
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2/8/2016 11:53:56Kirk WatersKirk.Waters@noaa.govNOAAAirborne LiDARLAZLAS (ASPRS), LAZ, ASCII
Visualization, Digital Terrain Modelling, GIS
Hydrology, Water Management, Civil Engineering
In a file on a network drive
Timestamp, Intensity, Classification, Pulse Count
To regular grid (raster), To TIN
Temporal granularity at point level, Temporal granularity at data set (a ‘point cloud’) level, Temporal resolution / update frequency years, Temporal resolution / update frequency months, Monitoring applications, change detection
Combining Data from multiple source
Web Service (WxxS) protocol
More than 1 trillion (10^12) points
LAStools, homegrown tools for datum transformation.
We use a combination of things to manage data for distribution. While the data are left as LAZ files on network disks, the information about the data is stored in a database and we use that to find the data needed for a given request.
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2/8/2016 11:56:21Carl Reedcarl.n.reed@gmail.comSelf
Don't use. Just interested.
Don't use. Just interested in what others do.
Don't use. Just interested in what others do.
Don't use. Just interested in what others do.
Don't use. Just interested in what others do.
Don't use. Just interested in what others do.
Don't use. Just interested in what others do.
Don't use. Just interested in what others do.
Don't use. Just interested in what others do.
Don't use. Just interested in what others do.
File Format / Encoding, Web Service (WxxS) protocol
Less than 100 million (10^6) points
Don't use. Just interested in what others do.
I am interested in the results of the survey WRT standards requirements.
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2/8/2016 12:00:45Mike McCannmccann@mbari.orgMBARI
Subsurface Point Cloud from Seismic
PLY, x3dx3d
Visualization, Digital Terrain Modelling
Oceanography
In a file on a computer, In a file on a network drive
NoneTo TIN, SRC/gltf
Monitoring applications, change detection
Storage / Management, Visualization / Interaction
File Format / Encoding, Web Service (WxxS) protocol
Less than 100 million (10^6) points
PosgreSQL/PostGIS, GMT, Meshlab, InstantReality, X3DOM
I've eavesdropped on the issue where vendor lock-in is being attempted for this important type of data. Our community is big enough to have a real community standard that avoids vendor lock-in.
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2/8/2016 12:30:58Jason Stokerjstoker@usgs.govUSGS
Airborne LiDAR, Terrestrial Lidar (including Mobile Mapping), Photogrammetry, SONAR (single and multi-beam echo’s)
LAS (ASPRS), LAZLAS (ASPRS), LAZ
Visualization, Digital Terrain Modelling, Feature Extraction, GIS
Forestry, Hydrology, Water Management, Asset Management
In a file on a computer, In a file on a network drive, In a database, In the cloud
Timestamp, Intensity, Colour, Classification, Pulse Form, Pulse Count, Direction and Length of Scanline
To regular grid (raster), To TIN, Level of Detail (LoD) representation, To features (vector object rafter detection/recognition), None, direct use of point clouds
Temporal granularity at point level, Temporal granularity at data set (a ‘point cloud’) level, Temporal resolution / update frequency years, Temporal resolution / update frequency months, Monitoring applications, change detection
Storage / Management, Combining Data from multiple source, Change Reference System, Analysis / Simluation, Dissemination, Visualization / Interaction
Data Model
More than 1 trillion (10^12) points
PDAL, Potree, LAStools, GRASS, Esri ArcGIS, TerraSolid
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2/8/2016 13:06:37michael s rosen
michael.rosen@gmail.com
Lizardtech
Airborne LiDAR, Photogrammetry
LAS (ASPRS), LAZ, PLYLAS (ASPRS), LAZ
Visualization, Digital Terrain Modelling, GIS
ForestryIn a file on a computer
Intensity, Colour, Classification
To regular grid (raster), To TIN
Analysis / Simluation, Visualization / Interaction
Web Service (WxxS) protocol
More than 1 billion (10^9) points
LAStools, GRASS, Esri ArcGIS
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2/8/2016 13:09:10David Caresscaress@mbari.org
Monterey Bay Aquarium Research Institute
Photogrammetry, SONAR (single and multi-beam echo’s), subsea lidar
MB-System supported sonar formats
MB-System supported sonar formats
Visualization, Digital Terrain Modelling, Feature Extraction, GIS
Marine geology and geophysics, seafloor habitat mapping
In a file on a computer, In a file on a network drive
Timestamp, Intensity, Colour, Pulse Form, Pulse Count, Direction and Length of Scanline, sonar attributes
To regular grid (raster), To TIN
Temporal granularity at point level, Monitoring applications, change detection
Data Acquisition, Storage / Management, Combining Data from multiple source, Change Reference System, Analysis / Simluation, Dissemination, Visualization / Interaction
Data Model, File Format / Encoding
More than 1 billion (10^9) points
MB-System, GMT
My responses are from a seafloor mapping context. In the past most topography data derived from multibeam sonars, for which soundings have overlapping footprints rather than representing points, and were used to represent topography in 2D grids. We are now working with subsea lidar based mapping, plus mapping fully 3D features. Therefore the methods developed for working with point cloud data from subaerial lidars are increasingly relevant to seafloor mapping.
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2/8/2016 13:20:41Jed Frechettejed@lidarguys.comLidar Guys
Terrestrial Lidar (including Mobile Mapping), Indoor Laser Scanning
E57, ASCII, PLY, PTX and various vendor specific formats
LAS (ASPRS), E57, ASCII, ptx
Digital Terrain Modelling, GIS, Fully 3D object modeling
Civil Engineering, VFX, terrain analysis
In a file on a computer, In a file on a network drive
Intensity, Colour, Classification, estimated surface normals, various arbitrary attributes
To regular grid (raster), None, direct use of point clouds, Fully 3D mesh, i.e. not a 2.5D TIN
Temporal granularity at data set (a ‘point cloud’) level, Monitoring applications, change detection
Storage / Management, Combining Data from multiple source, Analysis / Simluation, Dissemination
File Format / Encoding
More than 1 billion (10^9) points
PDAL, Potree, GRASS, Esri ArcGIS, PCL, FARO Scene, PolyWorks, Sequoia
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2/8/2016 13:39:32Val Schmidtvschmidt@ccom.unh.edu
University of New Hampshire
Airborne LiDAR, Terrestrial Lidar (including Mobile Mapping), Photogrammetry, SONAR (single and multi-beam echo’s)
ASCII, CSAR, Any of various vendor formats, MATLAB .mat
ASCII
Visualization, Feature Extraction
Seafloor Mapping
In a file on a computer, In a file on a network drive
Timestamp, Intensity, Measurement angle, vehicle location/attitude,
To regular grid (raster), To features (vector object rafter detection/recognition)
Temporal granularity at data set (a ‘point cloud’) level
Data Acquisition, Storage / Management, Combining Data from multiple source
File Format / Encoding
More than 1 billion (10^9) points
CARIS, Fledermaus, MATLAB
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2/8/2016 14:15:32C. Crosbycrosby@unavco.org
UNAVCO / OpenTopography
Airborne LiDAR, Terrestrial Lidar (including Mobile Mapping), Photogrammetry
LAS (ASPRS), LAZ, ASCIILAS (ASPRS), LAZ, ASCII
Visualization, Digital Terrain Modelling, Feature Extraction, GIS
Forestry, Hydrology, Geology, Geophysics, Geodesy, natural hazards, mapping, cryosphere and climate change, education/teaching
In a file on a computer, In a database, In the cloud, as files on high performance computers (HPC)
Timestamp, Intensity, Colour, Classification, full suite of ASPRS LAS attributes, scan position
To regular grid (raster), To TIN, Level of Detail (LoD) representation, To features (vector object rafter detection/recognition), None, direct use of point clouds, to voxel
Temporal granularity at point level, Temporal granularity at data set (a ‘point cloud’) level, Temporal resolution / update frequency years, Temporal resolution / update frequency months, Temporal resolution / update frequency days, Temporal resolution / update frequency seconds, Monitoring applications, change detection
Data Acquisition, Storage / Management, Combining Data from multiple source, Change Reference System, Analysis / Simluation, Dissemination, Visualization / Interaction
Data Model, File Format / Encoding, Web Service (WxxS) protocol
More than 1 trillion (10^12) points
PDAL, LAStools, Esri ArcGIS, PosgreSQL/PostGIS, PCL, RiScan Pro, libLAS, GDAL, Global Mapper, various academic/open source tools
26
2/8/2016 14:42:07Derek Shockley
derek.j.shockley@nga.mil
National Geospatial-Intelligence Agency
Airborne LiDAR, Terrestrial Lidar (including Mobile Mapping), Photogrammetry, RADAR (PS-InSAR)
.bpf.bpf
Visualization, Digital Terrain Modelling, Feature Extraction, GIS
DefenseIn a database
Timestamp, Intensity, Colour, Classification, Pulse Form, Pulse Count, Direction and Length of Scanline
None, direct use of point clouds
Temporal granularity at data set (a ‘point cloud’) level, Monitoring applications, change detection
Storage / Management, Combining Data from multiple source, Change Reference System, Visualization / Interaction
File Format / Encoding
More than 1 billion (10^9) points
PDAL, PosgreSQL/PostGIS
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2/8/2016 15:52:14Chris Volpecvolpe@ara.com
Applied Research Assoc., Inc
Airborne LiDAR, Photogrammetry
LAS (ASPRS), BPFLAS (ASPRS), BPF
Digital Terrain Modelling, Feature Extraction
Intelligence Community (IC) operations
In a file on a computer, In a file on a network drive
Intensity, Colour, Classification
To regular grid (raster), To features (vector object rafter detection/recognition)
N/A
Combining Data from multiple source, Change Reference System
Data Model
Less than 100 million (10^6) points
LAStools, GRASS, PCL, FugroViewer, QT Reader
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2/8/2016 15:58:56Markus Schuetzmschuetz@potree.orgpotree
Airborne LiDAR, Terrestrial Lidar (including Mobile Mapping), Photogrammetry
LAS (ASPRS), LAZ, PLYLAS (ASPRS), LAZVisualizationanything
In a file on a computer, servers
Intensity, Colour, Classification, normals
Level of Detail (LoD) representation
none
Combining Data from multiple source, Visualization / Interaction
File Format / Encoding, Web Service (WxxS) protocol
More than 1 billion (10^9) points
Potree, LAStools, CloudCompare
las/laz is nice and simple but I'd realy appreciated a format where you can selectively choose the attributes.
* Don't store more attributes than necessary
* Additionally to a set of standard attributs (position, classification, ...), let users define custom attributes.
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2/8/2016 17:01:27David Simondavid.simon@ga.gov.auGeoscience AustraliaAirborne LiDARLAS (ASPRS), LAZ, ASCIILAS (ASPRS), LAZ
Digital Terrain Modelling, Feature Extraction
Hydrology
In a file on a network drive, In the cloud
Timestamp, Intensity, Classification, Pulse Form, Pulse Count
To regular grid (raster), None, direct use of point clouds
Temporal granularity at data set (a ‘point cloud’) level, Temporal resolution / update frequency years, Monitoring applications, change detection
Storage / Management, Analysis / Simluation, Dissemination
File Format / Encoding, Indexing
More than 1 trillion (10^12) points
LAStools, Esri ArcGIS
30
2/8/2016 17:49:17Ross Winansross.winans@noaa.govNOAA
Airborne LiDAR, Terrestrial Lidar (including Mobile Mapping), Photogrammetry, SONAR (single and multi-beam echo’s), RADAR (PS-InSAR)
LAS (ASPRS), LAZLAZ
Visualization, Digital Terrain Modelling, Feature Extraction, GIS
Hydrology, Water Management, Smart City, Civil Engineering
In a file on a computer, In a file on a network drive
Timestamp, Intensity, Classification, Pulse Count, Direction and Length of Scanline
To regular grid (raster), To TIN, To features (vector object rafter detection/recognition)
Temporal granularity at point level, Temporal resolution / update frequency years, Temporal resolution / update frequency months, Temporal resolution / update frequency days, Temporal resolution / update frequency seconds, Monitoring applications, change detection
Combining Data from multiple source, Change Reference System, Dissemination
Data Model, File Format / Encoding, Web Service (WxxS) protocol
More than 1 billion (10^9) points
PDAL, LAStools, GRASS, Blue Marble and MARS7
31
2/8/2016 18:12:40Michael Sutherland
mike.sutherland@noaa.gov
NOAA NCEI
Airborne LiDAR, SONAR (single and multi-beam echo’s)
LAS (ASPRS), LAZ, ASCIILAS (ASPRS), LAZ, ASCIIDigital Terrain ModellingWater Management
In a file on a computer, In a file on a network drive
Timestamp, Intensity, Colour, Classification, Pulse Count, Direction and Length of Scanline
To regular grid (raster), To TIN
Temporal granularity at point level, Temporal granularity at data set (a ‘point cloud’) level, Monitoring applications, change detection
Storage / Management, Combining Data from multiple source, Analysis / Simluation
File Format / Encoding
More than 1 trillion (10^12) points
LAStools, Esri ArcGIS, CARIS, Fledermaus
32
2/8/2016 19:14:01Peter Sforzasforza@vt.eduvirginia tech cgit
Airborne LiDAR, Terrestrial Lidar (including Mobile Mapping), Indoor Laser Scanning, Photogrammetry
LAS (ASPRS), LAZ, ZLAS, ASCII, PLY
LAS (ASPRS), LAZ
Visualization, Digital Terrain Modelling, Feature Extraction, GIS
Forestry, Hydrology, Smart City, Civil Engineering, Asset Management
In a file on a computer, In a file on a network drive, In a database, In the cloud
Timestamp, Intensity, Colour, Classification, Pulse Form, Pulse Count, Direction and Length of Scanline
To regular grid (raster), To TIN, Level of Detail (LoD) representation, To features (vector object rafter detection/recognition)
Temporal granularity at data set (a ‘point cloud’) level, Temporal resolution / update frequency years, Temporal resolution / update frequency seconds, Monitoring applications, change detection
Data Acquisition, Storage / Management, Combining Data from multiple source, Change Reference System, Analysis / Simluation, Dissemination, Visualization / Interaction
Data Model
More than 1 trillion (10^12) points
PDAL, LAStools, Esri ArcGIS, PosgreSQL/PostGIS
33
2/8/2016 20:09:05Philip Lorenzophilip@rithm.ioRithmIndoor Laser ScanningE57, FLSE57, FLS
Visualization, Feature Extraction, Coordination, Construction Quality Control
Asset Management, Construction
In a file on a computer, In a file on a network drive, In the cloud
Colour
None, direct use of point clouds
Temporal granularity at point level, Monitoring applications, change detection
Combining Data from multiple source, Analysis / Simluation, Visualization / Interaction
File Format / Encoding, Web Service (WxxS) protocol
More than 1 billion (10^9) points
PCL, Faro Scene, AutoDesk ReCap
34
2/9/2016 2:52:15Vasanth Reddy
vasanthmarvel@gmail.com
GRMC Inc
Airborne LiDAR, Terrestrial Lidar (including Mobile Mapping), Indoor Laser Scanning
LAS (ASPRS), LAZ, E57, POD, PLY, PostgreSQL-PostGIS PCPATCH, PDAL-generated blocks
LAS (ASPRS), E57, PLY, PostgreSQL-PostGIS PCPATCH
Visualization, Digital Terrain Modelling, Feature Extraction, GIS, BIM
Hydrology, Civil Engineering, Asset Management, BIM
In a file on a computer, In a file on a network drive, In a database
Timestamp, Intensity, Colour, Classification, Direction and Length of Scanline
To regular grid (raster), To TIN, Level of Detail (LoD) representation
Temporal resolution / update frequency years
Combining Data from multiple source, Dissemination
File Format / Encoding
More than 1 billion (10^9) points
PDAL, Potree, LAStools, Esri ArcGIS, Bentley Pointools, PosgreSQL/PostGIS, TerraSolid, PCL, Revit
* There is an unnecessary brawl between Corporates and Openness regarding LAS1.4
* Point cloud streaming (Stored in PostGIS as pcpatch)/ Integration through Geoserver as standard option for Cesiumjs
* New LAS standard to reflect doppler capabilities of FMCW ladar
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2/9/2016 3:11:01Antonio Ruizantonio.ruiz@icgc.cat
Institut Cartografic i Geologic de Catalunya
Airborne LiDAR, Photogrammetry
LAS (ASPRS), LAZLAS (ASPRS), LAZ
Digital Terrain Modelling, Feature Extraction
Forestry, Hydrology, Smart City
In a file on a computer, In a file on a network drive
Timestamp, Intensity, Classification
To regular grid (raster), To TIN, To features (vector object rafter detection/recognition)
Temporal resolution / update frequency years, Monitoring applications, change detection
Storage / Management, Analysis / Simluation
File Format / Encoding
More than 1 billion (10^9) points
LAStools, GRASS, Esri ArcGIS, Bentley Pointools, Leica CloudWorx, PosgreSQL/PostGIS, TerraSolid
36
2/9/2016 3:37:26Oscar Martinez Rubi
o.rubi@esciencecenter.nl
Netherlands eScience Center
Airborne LiDAR, Terrestrial Lidar (including Mobile Mapping), Photogrammetry
LAS (ASPRS), LAZ, Oracle SDO_PC, PostgreSQL-PostGIS PCPATCH, PDAL-generated blocks, Flat table
LAS (ASPRS), LAZVisualization, GISArchaeology
In a file on a computer, In a database, In the cloud
Colour, Classification
Level of Detail (LoD) representation, None, direct use of point clouds
Temporal granularity at data set (a ‘point cloud’) level, Temporal resolution / update frequency years
Storage / Management, Combining Data from multiple source, Visualization / Interaction
Web Service (WxxS) protocol
More than 1 billion (10^9) points
PDAL, Potree, LAStools, Oracle SDO_PC, PosgreSQL/PostGIS, MonetDB
37
2/9/2016 3:40:00Douglas Daniel
douglas.daniel@subsea7.com
Subsea 7
Indoor Laser Scanning, Photogrammetry, SONAR (single and multi-beam echo’s)
LAS (ASPRS), ASCIILAS (ASPRS), ASCII
Visualization, Digital Terrain Modelling
Asset Management, Oil and Gas
In a file on a network drive
Intensity, Colour
To regular grid (raster), None, direct use of point clouds
Temporal granularity at point level, Temporal granularity at data set (a ‘point cloud’) level
Data AcquisitionFile Format / Encoding
More than 100 million (10^6) points
Potree, LAStools, Esri ArcGIS, EIVA NaviModel
38
2/9/2016 5:52:06Charles Thomson
charliethomson@gmail.com
UCL
Terrestrial Lidar (including Mobile Mapping), Indoor Laser Scanning
LAS (ASPRS), E57LAS (ASPRS), E57, Rcs
Visualization, Feature Extraction
Civil Engineering, Asset Management
In a file on a computer, In a file on a network drive
Intensity, Colour
To features (vector object rafter detection/recognition), None, direct use of point clouds
Temporal granularity at point level, Temporal resolution / update frequency seconds, Monitoring applications, change detection
Analysis / Simluation, Dissemination, Visualization / Interaction
DBMS / SQL
More than 1 billion (10^9) points
PCL, Cloudcompare
39
2/9/2016 9:08:59JC nelsonjcnelson@usgs.govUSGSAirborne LiDAR
LAS (ASPRS), LAZ, Flat table
LAS (ASPRS)
Visualization, Digital Terrain Modelling, Feature Extraction, GIS
Forestry, Hydrology, Water Management
In a file on a computer, In a file on a network drive
Timestamp, Intensity, Classification
To regular grid (raster), To TIN, To features (vector object rafter detection/recognition), None, direct use of point clouds
Monitoring applications, change detection
Data Acquisition, Storage / Management, Combining Data from multiple source, Change Reference System
Data Model
More than 100 million (10^6) points
LAStools, Esri ArcGIS, LP360
40
2/9/2016 9:09:05Richard Vincent
richard@polarisgeomatics.com
PolarisgeomaticsIndoor Laser ScanningLAS (ASPRS), LAZLAS (ASPRS), LAZ
Visualization, Feature Extraction
Civil Engineering, Asset Management
In a file on a network drive
Timestamp, Intensity, Colour, Classification
Level of Detail (LoD) representation, To features (vector object rafter detection/recognition)
Temporal granularity at point level, Temporal resolution / update frequency years
Data Acquisition, Combining Data from multiple source, Visualization / Interaction
Data Model, File Format / Encoding
More than 1 trillion (10^12) points
LAStools, TerraSolid
41
2/9/2016 9:51:22Ben Houston
benjamin.h.houston@gmail.com
Spatial Analytix
Airborne LiDAR, UAV based Photogrammetry
LAS (ASPRS), LAZ, ESRI LASD
LAS (ASPRS), LAZ
Digital Terrain Modelling, Feature Extraction, GIS
Hydrology, Civil Engineering, Asset Management, Site Characterization
In a file on a computer, In the cloud, Cloud = Dropbox
Intensity, Colour, Classification, Pulse Count
To regular grid (raster), To TIN, Extract vectors, not direct conversion
Temporal granularity at data set (a ‘point cloud’) level, Temporal resolution / update frequency years, Temporal resolution / update frequency months, Temporal resolution / update frequency days, Monitoring applications, change detection, UAV vs airborne have different temporal resolution relevancies
Analysis / Simluation, Dissemination
Web Service (WxxS) protocol
More than 100 million (10^6) points
LAStools, Esri ArcGIS, LP360, Pix4D
42
2/9/2016 10:11:45Peter Bonne
peter.bonne@orbitgt.com
Orbit GT
Terrestrial Lidar (including Mobile Mapping), Indoor Laser Scanning
LAS (ASPRS), LAZ, E57, ASCII, PLY, Flat table
LAS (ASPRS), LAZ, E57
Visualization, Feature Extraction, Profiling, Clash detection, Volumetric Analysis, ...
Asset Management, Road Admin, Rail, Tunneling, Utilities, ...
In a file on a computer, In a file on a network drive, In the cloud
Timestamp, Intensity, Colour, Classification, Pulse Form, Pulse Count, Direction and Length of Scanline, Scanner #
To features (vector object rafter detection/recognition), None, direct use of point clouds, Textured Meshes, Orthophoto, ...
Temporal granularity at data set (a ‘point cloud’) level, Monitoring applications, change detection
Our software solves these problems ;-)
Data Model, File Format / Encoding, Web Service (WxxS) protocol
More than 1 trillion (10^12) points
Orbit
43
2/9/2016 10:46:19Jonathan Bouffardjonathan@topo3d.caT3D
Terrestrial Lidar (including Mobile Mapping), Indoor Laser Scanning, Photogrammetry
LAS (ASPRS), LAZ, E57, PCD, POD, ASCII, PLY, Pts, ptx
LAS (ASPRS), LAZ, E57, POD, PLY
Visualization, Digital Terrain Modelling, Feature Extraction
Civil Engineering, Industrial, plants
In a file on a network drive
Intensity, Colour
None, direct use of point clouds
Temporal granularity at point level, Monitoring applications, change detection
Combining Data from multiple source
File Format / Encoding
More than 1 billion (10^9) points
Potree, LAStools, Bentley Pointools, Leica CloudWorx, FME
44
2/9/2016 11:01:06Daniel Buscombedbuscombe@usgs.govU.S. Geological Survey
Airborne LiDAR, Terrestrial Lidar (including Mobile Mapping), Photogrammetry, SONAR (single and multi-beam echo’s)
ASCII, GSF, H5, netCDFASCII, GSF, H5, netCDF
Visualization, Digital Terrain Modelling, Feature Extraction, GIS, geological/sedimentary description/quantification
sedimentology, geomorphology
In a file on a computer, In a file on a network drive
Timestamp, Intensity, acoustic backscatter, acoustic variables such as pulse length, beam direction, etc. VVV imp for sonar processing that all these things are kept together
To regular grid (raster), None, direct use of point clouds
Temporal resolution / update frequency years, Temporal resolution / update frequency months, Temporal resolution / update frequency days, Temporal resolution / update frequency seconds, Monitoring applications, change detection
Dissemination, Visualization / Interaction
Data Model, File Format / Encoding
More than 1 billion (10^9) points
Hypack. Plus I developed my own tools: http://dbuscombe-usgs.github.io/pysesa/
There is a pressing need for standardizing point cloud formats from terrestrial (lidar / laser scanning / sfm, etc) and from sonar systems (multibeam, sidescan, singlebeam). Increasingly, the two are being used together in single survey systems, simultaneously acquiring terrestrial and bathymetric data. Current data formats cannot contain all required attributes from lidar and sonar. Sonar analysis needs fields for backscatter, launch angles, beam numbers, and time-varying acoustic variables such as pulse length, frequency, etc.
45
2/9/2016 11:15:28Johannes Schumacherjosc@ign.ku.dk
University of Copenhagen
Airborne LiDARLAS (ASPRS), LAZLAS (ASPRS), LAZ
Feature Extraction, calculation of descriptive statistics of return heights for modeling vegetation characteristics
Forestry
In a file on a computer, In a file on a network drive, external HDD
Intensity, Classification, Pulse Form, Pulse Count
None, direct use of point clouds
Monitoring applications, change detection
Change Reference System
File Format / Encoding
More than 100 million (10^6) points
LAStools, Esri ArcGIS, Fusion LDV
46
2/9/2016 13:08:48Luiz C E Rodriguezlcer@usp.brUSP
Airborne LiDAR, Terrestrial Lidar (including Mobile Mapping)
LAS (ASPRS), LAZLAZ
Forest biomass assessments
Forestry
In a file on a computer, In the cloud
Timestamp, Intensity, Classification, Pulse Form, Pulse Count, Direction and Length of Scanline
None, direct use of point clouds
Temporal granularity at point level, Temporal resolution / update frequency days, Monitoring applications, change detection
Storage / Management, Combining Data from multiple source
File Format / Encoding, DBMS / SQL
More than 100 million (10^6) points
LAStools, FUSION, QGIS
47
2/9/2016 13:31:47Lewis Grahamlgraham@geocue.comGeoCue Group
Airborne LiDAR, Terrestrial Lidar (including Mobile Mapping), Photogrammetry
LAS (ASPRS), ZLAS, ASCIILAS (ASPRS), ZLAS, ASCII
Visualization, Digital Terrain Modelling, Feature Extraction, GIS, Volumetric Analysis
Hydrology, Smart City, Civil Engineering, Mining
In a file on a computer, In a file on a network drive, In the cloud, LIDARServer (www.lidarserver.com)
Timestamp, Intensity, Colour, Classification, Pulse Count, Direction and Length of Scanline, Normal Vector
To regular grid (raster), To TIN, To features (vector object rafter detection/recognition)
Temporal resolution / update frequency years, Temporal resolution / update frequency months, Temporal resolution / update frequency days, Monitoring applications, change detection, Granulatiry at the block and polygon level
Never. Everyone seems to uderstand LAS
File Format / Encoding, Web Service (WxxS) protocol
More than 1 trillion (10^12) points
Esri ArcGIS, TerraSolid, LP360, LIDARServer
LP360 is a standard tool used by USGS, USDA, many state, local governments. Should probably be on your survey.
48
2/9/2016 16:35:27Ken VanBreeken@ebuilts.come-Builts
Indoor Laser Scanning, Photogrammetry
E57, .fls, .zfsE57, .fls, .zfs
Feature Extraction, Measurement
Asset Management, as-built documentation
In a file on a computer, In a file on a network drive, In the cloud
Timestamp, Intensity, Colour, Images
To features (vector object rafter detection/recognition), point to point measurement
Temporal granularity at data set (a ‘point cloud’) level
Storage / Management, Combining Data from multiple source, Dissemination, Visualization / Interaction
File Format / Encoding, Auxillary data
More than 100 million (10^6) points
LAStools, Faro Scene, Leica Cyclone
I am working with the E57 committee to extend the current standard for use as an archive of point cloud and image data generated during construction.
49
2/9/2016 18:33:33Sean William Morrish
seanwilliammorrish@gmail.com
UCD
Airborne LiDAR, Terrestrial Lidar (including Mobile Mapping), Indoor Laser Scanning, Photogrammetry
LAS (ASPRS), LAZ, ZLAS, E57, ASCII, PDAL-generated blocks
LAZ, ZLAS, ASCII
Visualization, Digital Terrain Modelling, Feature Extraction, GIS
Hydrology, Smart City, Civil Engineering, Asset Management
In a file on a network drive, In a database, In the cloud
Timestamp, Intensity, Colour, Classification, Direction and Length of Scanline
To regular grid (raster), To TIN, Level of Detail (LoD) representation, To features (vector object rafter detection/recognition)
Temporal resolution / update frequency years, Monitoring applications, change detection
Data Acquisition, Storage / Management, Combining Data from multiple source, Change Reference System, Analysis / Simluation, Dissemination
Data Model, File Format / Encoding, Web Service (WxxS) protocol
More than 1 billion (10^9) points
PDAL, Potree, LAStools, Esri ArcGIS, Oracle SDO_PC, FME
50
2/9/2016 20:54:23Francisco Goncalves
fgoncalves@mcelhanney.com
PTMI
Airborne LiDAR, Terrestrial Lidar (including Mobile Mapping), Photogrammetry
LAS (ASPRS), LAZ, ASCIILAS (ASPRS), LAZ, ASCII
Digital Terrain Modelling, Feature Extraction, GIS, Slope analysis, Vol Calculations, watershed, Feature Detection
Forestry, Hydrology, Water Management, Civil Engineering, Asset Management, Archaeology, Agribusiness, Environment
In a file on a network drive
Intensity, Colour, Classification, Feature extraction, profiling, X-Sections, Volume Calculations, Time Change
Level of Detail (LoD) representation
Temporal granularity at point level, Monitoring applications, change detection
Combining Data from multiple source, Dissemination
Data Model, File Format / Encoding
More than 1 trillion (10^12) points
Esri ArcGIS, Bentley Pointools, TerraSolid
51
2/10/2016 9:03:35Mike Meiser
mike.meiser@woolpert.com
Woolpert
Airborne LiDAR, Terrestrial Lidar (including Mobile Mapping)
LAS (ASPRS), LAZ, ASCIILAS (ASPRS), LAZ, ASCII
Digital Terrain Modelling, Feature Extraction, GIS
Forestry, Hydrology, Water Management, Smart City, Civil Engineering, Asset Management
In a file on a computer, In a file on a network drive, In a database
Timestamp, Intensity, Colour, Classification, Pulse Form, Pulse Count, Direction and Length of Scanline
To regular grid (raster), To TIN
Temporal resolution / update frequency years, Monitoring applications, change detection
Combining Data from multiple source
File Format / Encoding
More than 1 trillion (10^12) points
LAStools, Esri ArcGIS, TerraSolid, TopoDOT, FME, QT modeler, global mapper, LP360, Geocue
52
2/10/2016 9:22:21Martin Isenburgmartin@rapidlasso.comrapidlasso GmbH
Airborne LiDAR, Terrestrial Lidar (including Mobile Mapping), Photogrammetry
LAS (ASPRS), LAZLAZ
Visualization, Digital Terrain Modelling, Feature Extraction, GIS
Forestry, Hydrology, Water Management, Civil Engineering, Asset Management
In a file on a computer, In a file on a network drive
Timestamp, Intensity, Colour, Classification, pulse source ID (flightline ID), scan angle, withheld flag, overlap flag, number of returns, return count, user data
To regular grid (raster), To TIN, To features (vector object rafter detection/recognition), None, direct use of point clouds
question is not clear
as long as we use LAS/LAZ there are no interoperability challenges
widely existing support in all major software packages
More than 1 billion (10^9) points
Potree, LAStools, GRASS, TopoDOT, QGIS, FUSION, FugroViewer, QT Reader, CloudCompare, RiProcess, CloudPro, Optech LMS 3.0, Trimble RealWorks, Envi LiDAR, Leica LIDAR Survey Studio LSS, ZEB1, Voyager, Scop++, DTMaster
The list of LiDAR software is rather incomplete.
53
2/10/2016 9:32:58Julià Talayajulia.talaya@icgc.catICGC
Airborne LiDAR, Photogrammetry
LAS (ASPRS)LAS (ASPRS), LODTree
Visualization, Digital Terrain Modelling
Hydrology, Smart City
In a file on a network drive
Timestamp, Intensity, Classification, Pulse Count
Level of Detail (LoD) representation, None, direct use of point clouds
Temporal granularity at data set (a ‘point cloud’) level
Dissemination, Visualization / Interaction
Data Model, Web Service (WxxS) protocol
More than 1 billion (10^9) points
Bentley Pointools, TerraSolid
54
2/10/2016 9:59:55Amelia Astleya.astley@noc.soton.ac.uk
National Oceanography Centre
SONAR (single and multi-beam echo’s)
ASCIIASCIIVisualization, GISHydrologyIn a file on a computerNone
To regular grid (raster), To TIN, To features (vector object rafter detection/recognition)
Temporal resolution / update frequency years, Temporal resolution / update frequency months
Analysis / SimluationData Model
More than 100 million (10^6) points
Esri ArcGIS, CloudCompare
55
2/10/2016 10:40:07Eric Morriseric.morris@noaa.govNOAA
Airborne LiDAR, RADAR (PS-InSAR)
LAS (ASPRS), LAZ, ASCIILAZ
Visualization, Digital Terrain Modelling, GIS
Hydrology, Asset Management
In a file on a network drive, In the cloud
Timestamp, Intensity, Colour, Classification, Direction and Length of Scanline
To regular grid (raster), To TIN
Temporal resolution / update frequency years, Monitoring applications, change detection
Analysis / Simluation
Web Service (WxxS) protocol
More than 1 trillion (10^12) points
LAStools, homemade scripts/tools
Thanks for doing this!
56
2/10/2016 14:30:54Marcus Glassmglass@geoterra.usGeoTerra
Airborne LiDAR, Photogrammetry
LAS (ASPRS)LAS (ASPRS)
Visualization, Digital Terrain Modelling, Feature Extraction, GIS
Forestry, Civil Engineering, Asset Management
In a file on a network drive, In a database, In the cloud
Timestamp, Intensity, Colour, Classification, Pulse Form, Pulse Count, Direction and Length of Scanline
To regular grid (raster), To TIN, To features (vector object rafter detection/recognition)
Temporal granularity at point level, Temporal granularity at data set (a ‘point cloud’) level, Temporal resolution / update frequency years, Temporal resolution / update frequency months, Temporal resolution / update frequency days, Temporal resolution / update frequency seconds, Monitoring applications, change detection
Data Acquisition, Combining Data from multiple source
Data Model, File Format / Encoding, DBMS / SQL
More than 100 million (10^6) points
LAStools, Esri ArcGIS, TerraSolid, Inpho
57
2/10/2016 18:05:09Christian FerreiraCferreira@marum.deMARUM
SONAR (single and multi-beam echo’s)
Kongsberg ALLMB-System
Visualization, Digital Terrain Modelling
Bathymetry
In a file on a network drive
Many attributesTo regular grid (raster)
Temporal resolution / update frequency years
Storage / Management, Combining Data from multiple source
File Format / Encoding
More than 1 billion (10^9) points
MB-System
58
2/10/2016 20:15:17Peter Srajerpsrajer@shaw.caWSP Global
Airborne LiDAR, Terrestrial Lidar (including Mobile Mapping), Indoor Laser Scanning, Photogrammetry
LAS (ASPRS), LAZ, ZLAS, POD
LAS (ASPRS)
Digital Terrain Modelling, Feature Extraction
Civil Engineering, Asset Management
In a database
Timestamp, Intensity, Colour, Classification
To regular grid (raster), To TIN, To features (vector object rafter detection/recognition)
Temporal granularity at data set (a ‘point cloud’) level, Temporal resolution / update frequency months, Monitoring applications, change detection
Storage / Management, Combining Data from multiple source
File Format / Encoding
More than 1 billion (10^9) points
Potree, LAStools, GRASS, Esri ArcGIS, Bentley Pointools, Leica CloudWorx
59
2/11/2016 2:04:01Antonio San José
sanjosealbacete@yahoo.es
GIS Consultant
Airborne LiDAR, RADAR (PS-InSAR)
LAS (ASPRS), LAZ, ASCIILAS (ASPRS), LAZ, ASCII
Visualization, Digital Terrain Modelling, Feature Extraction, GIS
Forestry, Hydrology, Archaeology
In a file on a computer, In a database
Intensity, Classification, Direction and Length of Scanline
To features (vector object rafter detection/recognition), None, direct use of point clouds
Monitoring applications, change detection
Storage / Management, Combining Data from multiple source
Data Model, File Format / Encoding
Less than 100 million (10^6) points
LAStools, GRASS, Esri ArcGIS, PosgreSQL/PostGIS, TerraSolid, FME
60
2/11/2016 3:59:53antoine cottina.cottin@carbomap.comcarbomap ltd
Airborne LiDAR, Terrestrial Lidar (including Mobile Mapping), RADAR (PS-InSAR)
LAS (ASPRS), LAZ, PulseWaves
LAS (ASPRS), LAZ, PulseWaves
Visualization, Digital Terrain Modelling, Feature Extraction, tree extraction
Forestry
In a file on a computer, In a file on a network drive
Intensity, Pulse Form, full-waveform analysis
None, direct use of point clouds
Temporal resolution / update frequency years, Monitoring applications, change detection
Visualization / Interaction
File Format / Encoding, industry needs to move towards Full-Waveform rather than just point cloud
More than 1 trillion (10^12) points
Potree, LAStools, GRASS, PCL, this list misses CloudCompare - we also use our in-house tools for full-waveform processing
61
2/11/2016 4:04:52Jorge Delgadojdelgado@ujaen.esUniversidad de Jaén
Airborne LiDAR, Terrestrial Lidar (including Mobile Mapping), Indoor Laser Scanning, Photogrammetry
LAS (ASPRS), LAZ, POD, ASCII
LAS (ASPRS), LAZ
Visualization, Digital Terrain Modelling, Feature Extraction
Smart City, Heritage Documentation
In a file on a computer, In a file on a network drive
Intensity, Colour, Classification
To regular grid (raster), To TIN, Level of Detail (LoD) representation, To features (vector object rafter detection/recognition)
Temporal granularity at data set (a ‘point cloud’) level, Monitoring applications, change detection
Combining Data from multiple source, Analysis / Simluation
Data Model, Web Service (WxxS) protocol
More than 1 trillion (10^12) points
LAStools, Bentley Pointools, Leica CloudWorx, SOCET SET / DTM Master
62
2/11/2016 7:36:45Jon Horganjon.horgan@os.ukOrdnance SurveyPhotogrammetryLAS (ASPRS), LAZ, ASCIILAS (ASPRS), LAZ, ASCII
Visualization, Digital Terrain Modelling, Feature Extraction, GIS
Smart City
In a file on a computer, In a file on a network drive
Timestamp, Colour, Classification
To regular grid (raster), To TIN, To features (vector object rafter detection/recognition), 3D mesh
Temporal granularity at point level
Storage / Management, Analysis / Simluation
File Format / Encoding
More than 1 billion (10^9) points
Esri ArcGIS, TerraSolid, VR Mesh
63
2/11/2016 7:44:43James Holmes
james.holmes@renishaw.com
Renishaw plc
Terrestrial Lidar (including Mobile Mapping), SONAR (single and multi-beam echo’s)
LAS (ASPRS), LAZ, POD, ASCII, La20 (Trimble format)
LAS (ASPRS), LAZ, ASCII
Visualization, Digital Terrain Modelling, Feature Extraction
Hydrology, Civil Engineering, Asset Management
In a file on a computer, In a file on a network drive
Timestamp, Intensity, Classification
To TIN, None, direct use of point clouds
Monitoring applications, change detection
Combining Data from multiple source, Change Reference System, Analysis / Simluation
File Format / Encoding
More than 1 billion (10^9) points
Bentley Pointools, TerraSolid, Hydrographic software (e.g. QINSy, HYPACK, PDS), Trimble's Trident software, Maptek's I-Site Studio
64
2/11/2016 7:54:09Karol Krajewski
karol.krajewski@nmgroup.com
NMGroupAirborne LiDARLAS (ASPRS), LAZLAS (ASPRS), LAZ
Digital Terrain Modelling, Feature Extraction, GIS
Asset Management, Utilities
In a database
Timestamp, Intensity, Colour, Classification, Pulse Count, Direction and Length of Scanline
To regular grid (raster), To TIN, None, direct use of point clouds
Temporal resolution / update frequency years, Monitoring applications, change detection
Combining Data from multiple source, Visualization / Interaction
DBMS / SQL, Web Service (WxxS) protocol
More than 1 trillion (10^12) points
Potree, LAStools, Bentley Pointools, TerraSolid, FME
65
2/11/2016 13:01:26Ian Davies
Ian@indeep-consulting.uk
Consultant
Airborne LiDAR, SONAR (single and multi-beam echo’s)
LAS (ASPRS), LAZ, ASCIILAS (ASPRS), ASCIIDigital Terrain Modelling
Civil Engineering, Coastal zone management
In a file on a network drive
Timestamp, Intensity, Classification, Pulse Form, Pulse Count, Direction and Length of Scanline
To regular grid (raster), To TIN, Level of Detail (LoD) representation, To features (vector object rafter detection/recognition)
Temporal resolution / update frequency years
Storage / Management, Combining Data from multiple source, Visualization / Interaction
File Format / Encoding
More than 1 billion (10^9) points
LAStools, GRASS, CARIS, Fledermaus, TerraSolid
66
2/12/2016 4:13:59Lee McDougall
lee.mcdougall@ahr-global.com
AHR
Terrestrial Lidar (including Mobile Mapping), Indoor Laser Scanning
E57, POD, PTS, PTX, PCG, RCS
E57, POD, PCG, RCS
Visualization, Digital Terrain Modelling, Feature Extraction, Building Modelling
Civil Engineering, Design
In a file on a network drive, data centre, tape
Intensity, Colour
None, direct use of point clouds
Temporal granularity at data set (a ‘point cloud’) level
DisseminationFile Format / Encoding
More than 1 trillion (10^12) points
Leica CloudWorx, Recap, Point tools, Scene
67
2/12/2016 8:29:29Brédifmathieu.bredif@ign.frIGN
Airborne LiDAR, Terrestrial Lidar (including Mobile Mapping), Indoor Laser Scanning, Photogrammetry
LAS (ASPRS), PLY, PostgreSQL-PostGIS PCPATCH
PLY
Visualization, Feature Extraction, City modelling, surface reconstruction, forestry
Forestry, Smart City, Civil Engineering, Asset Management
In a file on a computer, In a file on a network drive, In a database, In the cloud
Timestamp, Intensity, Colour, Classification, Pulse Form, Pulse Count, Direction and Length of Scanline, sensor position !!!
Level of Detail (LoD) representation, To features (vector object rafter detection/recognition), None, direct use of point clouds
Temporal granularity at point level, Temporal granularity at data set (a ‘point cloud’) level, Temporal resolution / update frequency years, Temporal resolution / update frequency months, Temporal resolution / update frequency days, Monitoring applications, change detection
Change Reference System, Analysis / Simluation, Dissemination
Data Model, Web Service (WxxS) protocol
More than 1 trillion (10^12) points
PDAL, Potree, LAStools, PosgreSQL/PostGIS, PCL
68
2/12/2016 18:23:48Adam Steer
adam.d.steer@gmail.com
National Computational infrastructure (Australia), ACE-CRC
Airborne LiDAR, Photogrammetry
LAS (ASPRS), ASCII, netCDF
ASCII
Visualization, as a start point for estimating characteristics of sea ice
marine cryosphere characterisation
In a file on a computer, In a file on a network drive
Timestamp, Intensity, scan angle, position uncertainty (x,y,z,3d), sometimes trajectory information
None, direct use of point clouds
Temporal granularity at point level, Temporal granularity at data set (a ‘point cloud’) level
Data Acquisition, Storage / Management
Data Model
More than 100 million (10^6) points
GRASS, Bentley Pointools, TerraSolid, PCL, CloudCompare, Python, MATLAB, QGIS
My work with point clouds has been really research-focussed. I've used 'standard' tools for some of my work (eg. terrasolid), but mainly work with customised coordinate systems and therefore customised software from raw laser data /aircraft trajectories -> point clouds.

A big issue for me has been keeping all the data managed, since I have to track all the data and processing prior to spitting out a point cloud (from either lasers or cameras). So provenance, or lack thereof, is something I need to solve.

I haven't used .las much purely because it is harder to work with than just messing around with text files (also awkward). I see a future in HDF formats (eg HDF or it's subset netCDF), because on that path I can quickly grab data in subsets, I can also track provenance, and versions, and ....

In terrasolid, for example, the concept of flight lines is key to making things happen. In my mind it would be possible to index a netcdf file by line, and have some pretty simple wrappers to pull out data in whatever format desired (eg; pointcloud.tolas(data), or pointcloud.ingest(lasfile, line, ...)

For 3D photogrammetry, for example, the point cloud is not really 4D but the aircraft trajectory is. If one wants to keep provenance, storing these things gets tricky unless a HDF style scheme is used.

Anyway - it gets complicated. and I see only one small speck of the point cloud world. However - ina world moving toward semantic web style operations, I see no reason to commit all point clouds to a specific and rigid format, as much as some vendors would like.

In a way, if there exists a metadata specification that is used everywhere, and can refer to a long list of formats, and the tools exist to translate, then a good and accepted metadata standard is possibly the best approach I can see. After all, data are just bits on a disk - the trick is making those bits meaningful!

Cheers
Adam
69
2/15/2016 4:51:32Bruce Napierbrn@bgs.ac.ukBritish Geological Survey
Airborne LiDAR, Terrestrial Lidar (including Mobile Mapping), Photogrammetry
LAS (ASPRS), ASCIILAS (ASPRS), ASCII
Visualization, Digital Terrain Modelling, geological interpretation
Geology
In a file on a computer, In a file on a network drive
Intensity, Colour
Level of Detail (LoD) representation, octree
Monitoring applications, change detection
Visualization / Interaction
Data Model, File Format / Encoding, Web Service (WxxS) protocol
More than 1 billion (10^9) points
LAStools, Esri ArcGIS, FME, GeoVisionary
70
2/16/2016 1:34:58gülch
eberhard.guelch@hft-stuttgart.de
HFT Stuttgart
Airborne LiDAR, Terrestrial Lidar (including Mobile Mapping), Indoor Laser Scanning, Photogrammetry
LAS (ASPRS), PLYLAS (ASPRS), PLY
Visualization, Digital Terrain Modelling, Feature Extraction
Smart CityIn a file on a computer
Timestamp, Intensity, Colour, Classification
To regular grid (raster), To features (vector object rafter detection/recognition)
Temporal granularity at point level
Combining Data from multiple source
Data Model
Less than 100 million (10^6) points
LAStools
71
2/16/2016 10:53:52Sherri Barnesslbrne@mwdh2o.comMWD
Terrestrial Lidar (including Mobile Mapping)
LAS (ASPRS), PODLAS (ASPRS)
Digital Terrain Modelling, Feature Extraction
Civil Engineering, Land Surveying Topo
In a file on a network drive
Classification
None, direct use of point clouds
Temporal resolution / update frequency years, Temporal resolution / update frequency months, Monitoring applications, change detection
Data Acquisition, Visualization / Interaction
Data Model, File Format / Encoding
More than 100 million (10^6) points
Bentley Pointools
72
2/17/2016 15:16:04Peter Guthpguth@usna.eduUS Naval Academy
Airborne LiDAR, Terrestrial Lidar (including Mobile Mapping), Photogrammetry
LAS (ASPRS), LAZ, 3D shapefile
LAS (ASPRS), LAZ
Visualization, Digital Terrain Modelling, GIS
Geology and general Terrain Analysis
In a file on a computer
Timestamp, Intensity, Colour, Classification, Direction and Length of Scanline
To regular grid (raster), None, direct use of point clouds
Monitoring applications, change detection
Combining Data from multiple source
File Format / Encoding
More than 1 billion (10^9) points
LAStools, MICRODEM, Cloud Compare
Any formats should be open with the specifications published. No format should lock users into a particular proprietary software package.

Software should be free to optimize data formats for internal use, but the distribution formats should be open and documented
73
2/17/2016 15:18:38Tobias
tobias.kohoutek@digimapas.cl
digimapas chile
Airborne LiDAR, Terrestrial Lidar (including Mobile Mapping), Photogrammetry
LAS (ASPRS), LAZ, ASCII, SPD
LAS (ASPRS), LAZ, ASCII
Digital Terrain Modelling, Feature Extraction
Forestry, Civil Engineering
In a file on a network drive, In a database
Timestamp, Intensity, Classification, Pulse Count, Direction and Length of Scanline
To regular grid (raster), To TIN
Temporal granularity at point level, Monitoring applications, change detection
Storage / Management, Analysis / Simluation
Web Service (WxxS) protocol
More than 100 million (10^6) points
LAStools, Inpho, TopPit
74
2/17/2016 15:19:36Mateusz Loskotmateusz@loskot.netOSGeoAirborne LiDAR
LAS (ASPRS), LAZ, PDAL-generated blocks
LAS (ASPRS), LAZVisualization, GISForestry, Civil Engineering
In a file on a computer, In a file on a network drive
Timestamp, Intensity, Classification
To regular grid (raster), To TIN
Temporal granularity at data set (a ‘point cloud’) level
Data Acquisition, Combining Data from multiple source
Data Model, File Format / Encoding
More than 100 million (10^6) points
PDAL, LAStools, PosgreSQL/PostGIS
75
2/17/2016 15:24:41Kyle Shannonkyle@pobox.comBoise State Univerisity
Airborne LiDAR, Terrestrial Lidar (including Mobile Mapping)
LAS (ASPRS), ASCII, SQLite
LAS (ASPRS), ASCII, SQLite
Digital Terrain Modelling, Feature Extraction, GIS
Forestry, Hydrology, Water Management
In a file on a computer
Timestamp, Intensity, Colour, Classification, Pulse Form, Pulse Count
To regular grid (raster), None, direct use of point clouds
Temporal granularity at point level, Monitoring applications, change detection
Data Acquisition, Storage / Management, Combining Data from multiple source, Change Reference System, Analysis / Simluation, Dissemination, Visualization / Interaction
File Format / Encoding, DBMS / SQL
More than 100 million (10^6) points
LAStools, Custom written LASF access
I would strongly suggest investigating SQLite as a storage container. LASF is okay, but SQLite gives access to many programming and scripting languages with out extra work. APIs are easily written without 3rd party libraries, and can be written in native programming languages. Also, recent releases of SQLite have built in R*Tree based spatial indexing. GeoPackage uses SQLite for a good reason.
76
2/17/2016 15:25:27Mike Lacknermlackner@uwaterloo.caUniversity of Waterloo
Airborne LiDAR, Terrestrial Lidar (including Mobile Mapping), Photogrammetry
LAS (ASPRS), LAZLAZ
Visualization, Digital Terrain Modelling, Feature Extraction
variety (education)In a file on a computer
Timestamp, Intensity, Colour, Pulse Count
To regular grid (raster), To features (vector object rafter detection/recognition)
Monitoring applications, change detection
Data Acquisition, Combining Data from multiple source, Change Reference System, Analysis / Simluation, Visualization / Interaction
File Format / Encoding, ideally open format and widely used (las/laz)
More than 100 million (10^6) points
LAStools, Esri ArcGIS, FME, eCognition, ENVI
I've been following that whole laz vs zlas conundrum, and don't understand why ESRI had to come up with their own closed proprietary format. Seemed to me that laz was doing all that zlas is doing and Martin from lastools was cooperative into adding further functionality if needed. So why duplicate the effort and create more work converting back and forth unnecessarily???

I like the ArcMap Lidar functionality and use it quite a bit but it annoys me a lot that I cannot use laz files directly and so far I haven't seen any advantage (or actual use) for zlas.

I'm sure there's lots of politics involved there, but I'm hoping that whole zlas thing doesn't take off and companies that have embraced the laz approach stick with it and make it the de facto standard.
77
2/17/2016 15:25:37Jarlath O'Neil-Dunnejoneildu@uvm.eduUniversity of VermontAirborne LiDARLAS (ASPRS), LAZLAS (ASPRS), LAZFeature Extraction
Forestry, Hydrology, Smart City
In a file on a network drive
Intensity, Colour, Classification
To regular grid (raster), To features (vector object rafter detection/recognition)
Temporal granularity at data set (a ‘point cloud’) level
Data AcquisitionFile Format / Encoding
More than 1 trillion (10^12) points
LAStools, Esri ArcGIS, FME, Quick Terrain Modeler
The biggest threat to LiDAR is proprietary formats. Keep LiDAR open!
78
2/17/2016 15:30:15Ramesh Sridharan
Ramesh.Sridharan@Autodesk.com
AUTODESK, INC.
Airborne LiDAR, Terrestrial Lidar (including Mobile Mapping), Indoor Laser Scanning, Photogrammetry
LAS (ASPRS), E57, ASCII, RCS
LAS (ASPRS), RCS
Visualization, Digital Terrain Modelling, Feature Extraction, GIS, 3D Modeling
Forestry, Hydrology, Water Management, Smart City, Civil Engineering, Asset Management
In a file on a computer, In a file on a network drive, In the cloud
Timestamp, Intensity, Colour, Classification
To regular grid (raster), To TIN, Level of Detail (LoD) representation, To features (vector object rafter detection/recognition), None, direct use of point clouds
Temporal granularity at point level, Temporal granularity at data set (a ‘point cloud’) level, Monitoring applications, change detection
Analysis / Simluation, Visualization / Interaction
Data Model, File Format / Encoding
More than 1 trillion (10^12) points
Autodesk products like ReCap and Infraworks
79
2/17/2016 15:31:27Thomas Knudsenthokn@sdfe.dk
SDFE - the Danish National Mapping Authority
Airborne LiDARLAS (ASPRS), LAZLAZDigital Terrain ModellingNMA
In a file on a network drive, In a database
Timestamp, Intensity, Colour, Classification, Pulse Count, Full LAS1.3 gamut
To regular grid (raster), To TIN, None, direct use of point clouds
Temporal granularity at point level, Monitoring applications, change detection, Granularity at Data subset (tile) level
None. LAS ensures interoperability
File Format / Encoding, Web Service (WxxS) protocol
More than 1 billion (10^9) points
PDAL, Potree, LAStools, PosgreSQL/PostGIS, TerraSolid, QGIS
I find Esri's pushing for a closed file format (zlas) absolutely detrimental to interoperability, and countering a National Mapping Authority mission of ensuring long term access and interoperability of elevation data.

Please have this in mind in OGC's further work om point cloud data
80
2/17/2016 15:33:22Arjan van houwelingenHouwe191@yahoo.caVansteenis geodesie
Airborne LiDAR, Terrestrial Lidar (including Mobile Mapping)
LAS (ASPRS), LAZ, ASCIILAS (ASPRS), LAZ, ASCII
Visualization, Feature Extraction
Water Management, Civil Engineering, Asset Management
In a file on a computer
Timestamp, Intensity, Colour, Classification, Direction and Length of Scanline
To regular grid (raster), To TIN, To features (vector object rafter detection/recognition), None, direct use of point clouds
Temporal granularity at point level, Temporal granularity at data set (a ‘point cloud’) level
Data Acquisition, Storage / Management, Combining Data from multiple source, Analysis / Simluation, Visualization / Interaction
Data Model, File Format / Encoding
More than 1 billion (10^9) points
PDAL, LAStools, GRASS, Esri ArcGIS, Leica CloudWorx, TerraSolid, FME, Leica cyclone and map factory
81
2/17/2016 15:39:50Doug Newcomb
doug_newcomb@fws.gov
USFWSAirborne LiDARLAS (ASPRS), LAZ, ASCIILAS (ASPRS), LAZ
Digital Terrain Modelling, Feature Extraction
Forestry, HydrologyIn a file on a computer
Timestamp, Intensity, Colour, Classification, Pulse Count, Direction and Length of Scanline
To regular grid (raster)
Temporal granularity at point level, Temporal resolution / update frequency years, Monitoring applications, change detection
Data Acquisition, Combining Data from multiple source, Change Reference System
File Format / Encoding
More than 1 billion (10^9) points
PDAL, LAStools, GRASS
82
2/17/2016 15:49:20Jacob Edwards
jacob.edwards@dogami.state.or.us
Oregon Dpeartment of Geology and Mineral Industries
Airborne LiDARLAS (ASPRS), LAZLAZ
Visualization, Digital Terrain Modelling, Feature Extraction, GIS
Forestry, Hydrology, Water Management, Civil Engineering
In a file on a network drive
Timestamp, Intensity, Colour, Classification, Pulse Form, Pulse Count, Direction and Length of Scanline
To regular grid (raster)
Temporal resolution / update frequency years
Storage / Management, Change Reference System, Dissemination
File Format / Encoding
More than 1 trillion (10^12) points
LAStools, Esri ArcGIS, Bentley Pointools, TerraSolid, Quick Terrain Modeler
I prefer open LiDAR formats over proprietary clones
83
2/17/2016 15:49:24David Webb
david.webb@transgrid.com.au
TransGrid
Airborne LiDAR, Terrestrial Lidar (including Mobile Mapping)
LAS (ASPRS), LAZ, POD, IMP
LAS (ASPRS), POD
Visualization, Digital Terrain Modelling, Feature Extraction
Forestry, Civil Engineering, Asset Management
In a file on a network drive
Intensity, Colour, Classification
To regular grid (raster), To TIN, To features (vector object rafter detection/recognition), None, direct use of point clouds
Temporal resolution / update frequency years, Monitoring applications, change detection
Storage / Management, Combining Data from multiple source
File Format / Encoding
More than 1 trillion (10^12) points
Potree, LAStools, Bentley Pointools, Leica CloudWorx, TerraSolid, FME, Leica Cyclone
84
2/17/2016 15:58:31Kari Salovaara
kari.salovaara@pp1.inet.fi
OSGeo FinlandAirborne LiDAR
LAZ, PostgreSQL-PostGIS PCPATCH, PDAL-generated blocks
LAZ, PostgreSQL-PostGIS PCPATCH, PDAL-generated blocks
Digital Terrain Modelling, GIS
nature cons., ecology
In a file on a computer, In a database
Timestamp, Intensity, Colour, Classification, Pulse Form, Pulse Count, Direction and Length of Scanline
To regular grid (raster), To TIN, Level of Detail (LoD) representation, To features (vector object rafter detection/recognition)
Temporal granularity at data set (a ‘point cloud’) level
Data Acquisition, Combining Data from multiple source, Analysis / Simluation, Dissemination
Data Model, File Format / Encoding, DBMS / SQL
More than 100 million (10^6) points
PDAL, LAStools, GRASS, PosgreSQL/PostGIS
85
2/17/2016 16:35:57Floris Groesz
floris.groesz@blomasa.com
Blom
Airborne LiDAR, Photogrammetry
LAS (ASPRS), LAZ, Terrasolid Fast Binary
LAS (ASPRS), LAZ, ASCII
Visualization, Digital Terrain Modelling, Feature Extraction, Modelling of forest variables
Forestry, terrain analysis
In a file on a network drive
Timestamp, Intensity, Colour, Classification, Pulse Count, Direction and Length of Scanline
To regular grid (raster), To features (vector object rafter detection/recognition), None, direct use of point clouds
Temporal granularity at point level, Temporal granularity at data set (a ‘point cloud’) level, Monitoring applications, change detection
Analysis / Simluation
Data Model, File Format / Encoding
More than 1 billion (10^9) points
LAStools, Esri ArcGIS, TerraSolid, eCognition, Global Mapper, R
The name "zlas" by ESRI and the term "optimized LAS" is confusing. There should be a clear distinction between open/standard formats and proprietary formats, also for compressed versions.
The success of the LAS format has been of great benefit to all producers and users of point cloud data.
This success should not be nullified during shift to compressed formats.
86
2/17/2016 16:40:10Ben Discoebdiscoe@gmail.comLeica Geosystems
Airborne LiDAR, Terrestrial Lidar (including Mobile Mapping), Indoor Laser Scanning
LAS (ASPRS), E57LAS (ASPRS), E57, ASCII
Visualization, Digital Terrain Modelling, Feature Extraction, GIS
Hydrology, Civil Engineering, Asset Management
In a file on a computer, In a file on a network drive, In a database, In the cloud
Intensity, Colour, Classification, Normals
To TIN, Level of Detail (LoD) representation
Temporal granularity at data set (a ‘point cloud’) level
Storage / Management, Combining Data from multiple source, Change Reference System, Dissemination, Visualization / Interaction
File Format / Encoding, Web Service (WxxS) protocol
More than 1 billion (10^9) points
LAStools, Leica CloudWorx
87
2/17/2016 17:02:45Dr. Uwe Bacher
uwe.bacher@geo4you.de
Geo4You.dePhotogrammetryLAS (ASPRS), PLYLAS (ASPRS), PLY
Digital Terrain Modelling, GIS
Forestry, Civil EngineeringIn a file on a computer
Timestamp, Intensity, Colour
To regular grid (raster), None, direct use of point clouds
Monitoring applications, change detection
Analysis / Simluation, Visualization / Interaction
Data Model, File Format / Encoding
More than 100 million (10^6) points
GRASS
88
2/17/2016 17:19:14yuichi hayakawa
hayakawa@csis.u-tokyo.ac.jp
Univ Tokyo
Airborne LiDAR, Terrestrial Lidar (including Mobile Mapping), Indoor Laser Scanning, Photogrammetry
LAS (ASPRS), LAZLAS (ASPRS), LAZ, ASCII
Digital Terrain Modelling, Feature Extraction, GIS
geomorphologyIn a file on a computerIntensity, Colour
To regular grid (raster), To TIN
Temporal resolution / update frequency years, Temporal resolution / update frequency months, Monitoring applications, change detection
Data Acquisition, Storage / Management, Analysis / Simluation, Visualization / Interaction
File Format / Encoding
More than 1 billion (10^9) points
Potree, LAStools, Esri ArcGIS
89
2/17/2016 17:51:05ariel c. blanco
ariel.blanco@coe.upd.edu.ph
university of the philippines
Airborne LiDAR, Terrestrial Lidar (including Mobile Mapping), Indoor Laser Scanning, Photogrammetry, SONAR (single and multi-beam echo’s)
LAS (ASPRS), LAZLAS (ASPRS), LAZ
Visualization, Digital Terrain Modelling, Feature Extraction, GIS
Forestry, Hydrology, Water Management
In a file on a computer, In a file on a network drive, In a database
Timestamp, Intensity, Colour, Classification, Pulse Form, Pulse Count, Direction and Length of Scanline
To regular grid (raster), To TIN, To features (vector object rafter detection/recognition), None, direct use of point clouds
Temporal granularity at data set (a ‘point cloud’) level, Temporal resolution / update frequency years, Temporal resolution / update frequency months, Monitoring applications, change detection
Storage / Management, Combining Data from multiple source
Data Model, File Format / Encoding
More than 1 billion (10^9) points
LAStools
90
2/17/2016 18:33:23Bill Kruse
bkruse@kruseimaging.com
Kruse Imaging
Airborne LiDAR, Terrestrial Lidar (including Mobile Mapping), Photogrammetry, SONAR (single and multi-beam echo’s)
LAS (ASPRS), LAZ
LAS (ASPRS), LAZ, Flat table
Visualization, Digital Terrain Modelling, Feature Extraction, GIS
Forestry, Hydrology
In a file on a computer, In a file on a network drive
Timestamp, Intensity, Colour, Classification, Pulse Count, Direction and Length of Scanline
To regular grid (raster), To features (vector object rafter detection/recognition)
Temporal granularity at point level, Temporal granularity at data set (a ‘point cloud’) level, Temporal resolution / update frequency years, Monitoring applications, change detection
Storage / Management, Combining Data from multiple source
Data Model, File Format / Encoding
More than 1 billion (10^9) points
PDAL, LAStools, GRASS, Esri ArcGIS, PCL
91
2/17/2016 18:50:42Cameron Wallace
cameron.wallace@snclavalin.com
SNC Lavalin Inc.
Airborne LiDAR, Terrestrial Lidar (including Mobile Mapping), Photogrammetry
LAS (ASPRS), ASCII, CSAR, PostgreSQL-PostGIS PCPATCH, Flat table
LAS (ASPRS), ASCII, CSAR, PostgreSQL-PostGIS PCPATCH, Flat table
Visualization, Digital Terrain Modelling, Feature Extraction, GIS
Forestry, Hydrology, Water Management
In a file on a computer, In a file on a network drive, In a database
Timestamp, Intensity, Classification
To regular grid (raster), To TIN, To features (vector object rafter detection/recognition), None, direct use of point clouds
Temporal granularity at data set (a ‘point cloud’) level, Temporal resolution / update frequency days
Storage / Management, Combining Data from multiple source, Dissemination, Visualization / Interaction
File Format / Encoding
More than 100 million (10^6) points
Esri ArcGIS, PosgreSQL/PostGIS, CARIS
open compressed standards would be great. I'm primarily a consumer of data at this point, although we may start producing some in the future.
92
2/17/2016 19:42:54Mark SeibelMseibel@ectinc.com
Environmental consulting and technology Inc.
Airborne LiDARLAZLAS (ASPRS)
Visualization, Digital Terrain Modelling, Feature Extraction, GIS
Hydrology
In a file on a network drive, Moving towards PostgreSQL with lidar extension
Timestamp, Intensity, Classification
To regular grid (raster), Level of Detail (LoD) representation
Temporal granularity at data set (a ‘point cloud’) level, Temporal resolution / update frequency years
None, we use laz or lasFile Format / Encoding
More than 1 billion (10^9) points
PDAL, LAStools, GRASS, Esri ArcGIS, MCC lidar
Please help keep lidar formats open. I've been a geospatial analytical professional for almost 20 years. I also administer Linux systems and heavily use I also use FOSS. I am on the analytical use and data distribution side. Few things are as frustrating as dealing with proprietary data formats. They are an obstacle to the progress of research and knowledge. They prevent sharing of data. Lidar, like other geospatial data, best serves the global community by openly accessible formats.
93
2/17/2016 20:22:00Ben Edmond
Ben@connected2fiber.com
Connected2Fiber
Airborne LiDAR, Terrestrial Lidar (including Mobile Mapping)
PostgreSQL-PostGIS PCPATCH
PostgreSQL-PostGIS PCPATCH
Visualization, GISAsset ManagementIn the cloud
Timestamp, Classification
To features (vector object rafter detection/recognition)
Temporal granularity at point level
Data Acquisition, Dissemination
Data Model
More than 100 million (10^6) points
PosgreSQL/PostGIS
94
2/17/2016 21:37:01
Shanmugam Ganeshkumar
Ganesh@geicon.comGeoICON
Airborne LiDAR, Terrestrial Lidar (including Mobile Mapping)
LAS (ASPRS), ASCII, PostgreSQL-PostGIS PCPATCH, PDAL-generated blocks
LAS (ASPRS)
Visualization, Digital Terrain Modelling, GIS
Smart City, Asset Management
In a file on a network drive, In a database
Timestamp, Intensity, Colour, Direction and Length of Scanline
Level of Detail (LoD) representation
Temporal granularity at point level, Temporal resolution / update frequency months, Temporal resolution / update frequency days
Storage / Management, Combining Data from multiple source, Analysis / Simluation, Visualization / Interaction
Data Model, File Format / Encoding, DBMS / SQL, Web Service (WxxS) protocol
Less than 100 million (10^6) points
PDAL, LAStools, PosgreSQL/PostGIS
Please keep the format open. Don't like esri approach.
95
2/17/2016 21:37:06
Shanmugam Ganeshkumar
Ganesh@geicon.comGeoICON
Airborne LiDAR, Terrestrial Lidar (including Mobile Mapping)
LAS (ASPRS), ASCII, PostgreSQL-PostGIS PCPATCH, PDAL-generated blocks
LAS (ASPRS)
Visualization, Digital Terrain Modelling, GIS
Smart City, Asset Management
In a file on a network drive, In a database
Timestamp, Intensity, Colour, Direction and Length of Scanline
Level of Detail (LoD) representation
Temporal granularity at point level, Temporal resolution / update frequency months, Temporal resolution / update frequency days
Storage / Management, Combining Data from multiple source, Analysis / Simluation, Visualization / Interaction
Data Model, File Format / Encoding, DBMS / SQL, Web Service (WxxS) protocol
Less than 100 million (10^6) points
PDAL, LAStools, PosgreSQL/PostGIS
Please keep the format open. Don't like esri approach.
96
2/17/2016 22:43:21John Armston
john.armston@dsiti.qld.gov.au
Queensland Government
Airborne LiDAR, Terrestrial Lidar (including Mobile Mapping)
LAS (ASPRS), LAZ, SPDLAS (ASPRS), LAZ, SPD
Digital Terrain Modelling, Feature Extraction
Forestry, Hydrology
In a file on a computer, Tape mass storage connected to a HPC
Timestamp, Intensity, Colour, Classification, Pulse Form, Pulse Count, Direction and Length of Scanline, Waveform derived return metrics
To regular grid (raster), None, direct use of point clouds
Temporal granularity at data set (a ‘point cloud’) level, Temporal resolution / update frequency years, Temporal resolution / update frequency months, Monitoring applications, change detection
Data Acquisition, Combining Data from multiple source
Data Model
More than 1 billion (10^9) points
PDAL, Potree, LAStools, PosgreSQL/PostGIS, spdlib; pylidar
97
2/18/2016 1:35:13Claudia Knoor
claudia.knoor@bezreg-koeln.de
Bezirksregierung KölnAirborne LiDARASCIILAS (ASPRS), ASCII
Digital Terrain Modelling, Feature Extraction
Civil Engineering
In a file on a network drive
Classification
To regular grid (raster), None, direct use of point clouds
xData AcquisitionFile Format / Encoding
More than 1 billion (10^9) points
Trimble-Inpho
98
2/18/2016 2:03:15Antonio San José
sanjosealbacete@yahoo.es
GIS Consultant
Airborne LiDAR, RADAR (PS-InSAR)
LAS (ASPRS), LAZ, ASCIILAS (ASPRS), LAZ, ASCII
Visualization, Digital Terrain Modelling, Feature Extraction, GIS
Forestry, Hydrology
In a file on a computer, In a file on a network drive
Intensity, Classification, Direction and Length of Scanline
To features (vector object rafter detection/recognition), None, direct use of point clouds
Monitoring applications, change detection
Combining Data from multiple source
Data Model, File Format / Encoding
Less than 100 million (10^6) points
LAStools, GRASS, Esri ArcGIS, TerraSolid, FME
99
2/18/2016 2:06:21Andreas Røstad
andreas.rostad@kartverket.no
Norwegian Mapping Authority
Airborne LiDARLAS (ASPRS), LAZLAS (ASPRS), LAZ
Visualization, Digital Terrain Modelling, GIS, Distribution to users.
Distribution to users.
In a file on a network drive, In the cloud
Timestamp, Intensity, Classification
None, direct use of point clouds
Temporal granularity at point level, Temporal granularity at data set (a ‘point cloud’) level, Temporal resolution / update frequency years, Temporal resolution / update frequency months, Temporal resolution / update frequency days, Temporal resolution / update frequency seconds
Storage / Management, Combining Data from multiple source, Change Reference System
Data Model, File Format / Encoding
More than 1 billion (10^9) points
LAStools
100
2/18/2016 2:13:58Marcin Sołoguba
marcin.sologuba@bialystok.lasy.gov.pl
Regional Directorate of The State Forests in Bialystok
Airborne LiDARLAZLAZ
Digital Terrain Modelling, GIS
ForestryIn a file on a computerIntensity, Colour
To regular grid (raster), To features (vector object rafter detection/recognition)
Temporal resolution / update frequency years
Combining Data from multiple source, Visualization / Interaction
Data Model, File Format / Encoding
More than 100 million (10^6) points
PDAL, LAStools