15. Traditional Workflows
?
Project based
• Collection – Project based
• Analysis – For specific project
• Archive data
• Move on to next project
Data not accessible to
• Multiple applications
• Multiple users
Value is lost
16. User Expectations
• Lidar lives beyond project
• Information has to be
- Simple
- Accessible
- Timely
End Users and Decision Makers
Application and data integration is critical
19. • Modernizing statewide LiDAR-derived topography
• After Hurricane Sandy NCEM were informed by
USGS that Disaster Mitigation Funding would
possibly be used for LiDAR-derived topographic
data acquisition in Sandy impacted areas.
• NCEM –established the intent to acquire new QL2
statewide. GTM / FPMP began working with USGS
and other federal and state agencies.
QL2 Topo – In the Beginning….
29. Actual Survey Elevations
3 Meter LiDAR (2003)
*A more defined surface. Lacks true channel topographic definition.
5 ½ Foot Vertical Error in
Stream Bed Elevation
30. Actual Survey Elevations
NC QL2 LiDAR (2014)
*Nearly mirrors existing high precision survey data.
QL2 Profile
31. Actual Survey Elevations
NC QL2 LiDAR (2014)
*Nearly mirrors existing high precision survey data.
QL2 Profile
39. QL2 Topo - 3D Volume of Vegetation
What can you do with this data?
• Acreage and volumetric calculations
• Detection of vegetation type
• Deciduous vs Evergreen
• Canopy Height Detection
• Forest Ageing
• Wooded Biomass
• Tree Count Density
• Etc…
42. Emergency management
• Potential tsunami inundation: Bandon, Oregon
Data courtesy of DOGAMI
Oregon Department of Geology
and Mineral Industries (DOGAMI)
43. Lidar Data Dissemination
View and download your source data for further uses
http://www.oregongeology.org/dogamilidarviewer/
46. Transition slide of 2d -> 3d to get feel for magnitude
of disaster
3D maps help much for communicating this
information
2D pre- and post-event 3D pre- and post-event
50. What’s coming
• Tools for Feature Identification
- Footprint identification
- Tree locations
- 3D Building identification
- Data reviewer checks building and tree overlaps
53. Easily classify and extract
features from the LIDAR
point cloud
LP360 has several Point
Cloud task routines for
automatic classification and
feature extraction:
Ground and model keypoint
Building classification and
extraction
Stockpile toes
Vegetation Height filter &
polygons
Esri Partner Solution for Lidar Classification
54. Resources
Training courses
www.esri.com/training
Sharing Cached Imagery in ArcGIS
ArcGIS Resources
esriurl.com/ImageManagement
Image Management Workflows
GeoNet Community
geonet.esri.com/groups/esri-training
Tools for lidar processing
esriurl.com/3DLidarTools
LAS Custom GP Tools for ArcGIS 10.2
esriurl.com/EzLAS
LAS Optimizer (v1.2)
55. Esri UC Imaging and Mapping Forum (IMF)
Formerly Esri 3D Mapping Forum
• weekend before Esri UC (June 25-28, 2016) San Diego, CA
• Saturday is a technical bootcamp
• Sunday is user presentations
• Access to Esri UC Monday and Tuesday
• Find out more http://esri.com/3DForum