December 10. 2014 LiDAR Webinar

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Draft LiDAR Strategy
Pacific Northwest Region
Regional Strategy Team
Pete Heinzen, DRM
 Brian Wing, Pacific Southwest Station
 Tom DeMeo, NR
 Leah Rathbun, NR
 Kim Mellen-McLean, NR
 Robyn Darbyshire, NR
 Josh Chapman, NR
 Dorothy Thomas, DRM
 Mike Simpson, Deschutes NF
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Why Needed?
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Coordinate efforts for efficiency and
knowledge transfer
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Provide for processing and storage of
LiDAR data
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Provide standard outputs which are
relatively user friendly and easily used
with other corporate data/tools
Why Needed?
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Guidebook for the LiDAR data collection
process
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Increase opportunities for funding and
interagency cooperation
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Create opportunities for shared model
development
Strategy components
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LiDAR acquisition
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LiDAR data processing
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LiDAR data storage
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Standardized outputs from LiDAR data
Strategy components
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Vegetation field data
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Support for model development
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Integration with mapping
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Training opportunities
LiDAR acquisition
 DRM will continue to leverage our
current relationship with BLM to
acquire data in Oregon through the
Oregon LiDAR Consortium
(DOGAMI)
 Exploring IDIQ contracts with USGS
for Washington acquisitions
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LiDAR data processing
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Products provided from DRM
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Bare Earth DEM
Bare Earth Hillshade
Canopy Surface
Canopy Surface Hillshade
Crown Closure
Tree Points
LAS files
Data Storage
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Current and future options for storing
the raw and processed LiDAR data
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Local storage, e.g., NAS drives
T: drive availability (except LAS)
Image server options
NRM proposal
Standardized outputs
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Standardized outputs which do not
require field data:
 Digital Elevation Model
 Canopy Cover
 Canopy Structure (Single Story vs. Multi-Story)
 Mean Tree Height
 Maximum Tree Height
 Individual Overstory Tree Layer
 Understory Cover (Shrubs & CWD combined)
 Generic Stream Classification
 Improved Road Layer
 Topography & Aspect
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Standardized outputs
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Standardized outputs which require field
data:
 Stand density index (SDI)
 Herbaceous cover
 TPA by size class
 Wetland delineation
 Canopy structure class
 Riparian vegetation condition
 Understory vegetation cover
 Road condition and erosion risk
 Live tree density & stem maps  Improved soil inventory
 Snag density & stem maps
 Stream classification
 DWD presence
 Historic stream channel migration
 Crown fuel weight
 Landslide occurrence and risk
 Canopy bulk density
 Identification of scarps,
 Canopy base height
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areas of avalanche concern, and
rock outcrops
Vegetation field data
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Collection
 Coordination with RO is available to
leverage existing monitoring data and for
support in sampling design development and
field data collection software
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Storage
 Corporate database FSVeg should be used to
allow for data sharing and ensure data is
available for future projects.
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Vegetation field data
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Coordination with RO is available to link
different datasets together and to help
process data
Integration with mapping
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Support for model development
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Multiple partnership opportunities exist
to develop models which link field, LiDAR,
and remote sensed data:
 RSAC
 PNW Research Station
 RO
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It is important to understand the
dimensions of working with each group
Training (Existing)
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Websites and webinars
 Geospatial Training and Awareness website:
http://fsweb.geotraining.fs.fed.us/www/index.php?logout=true
 RSAC: http://www.fs.fed.us/eng/rsac/lidar_training/
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Workshops
 Bend, OR February 2015
 La Grande, OR March 2015
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Training (Future needs)
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Troubleshooting
Technical and general audiences
Online resources
DRM, Ecology, Inventory, Eastside
Strategy, others to provide
Next steps
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Your review comments by January 15
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Strategy team edits based on comments
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Proposed final draft January 31
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Present to leadership
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