USGS 3DEP LiDAR Program USGS Broad Area Announcement Grant Process - - PowerPoint PPT Presentation
USGS 3DEP LiDAR Program USGS Broad Area Announcement Grant Process Jamie Young CP, CMS-L, GISP Gary Outlaw VP Business Development Steve Kasten VP Survey & Photogrammetric Engineering Cornell Rowan Project Manager Ed Turner VP Business
Engineering | Architecture | Design-Build | Surveying | Planning | Geospatial Solutions
Houston Galveston Area Council March 1, 2017
USGS Broad Area Announcement Grant Process
Jamie Young CP, CMS-L, GISP Gary Outlaw VP Business Development Steve Kasten VP Survey & Photogrammetric Engineering Cornell Rowan Project Manager Ed Turner VP Business Development
Topics
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USGS Liaison – Claire Devaughan
cdevaugh@usgs.gov #512-927-3583
Apply ground-breaking LiDAR technology to acquire and
distribute 3D data
Address a broad range of critical applications of national
Provide 3D data including surface elevations and natural
and constructed features
3DEP increases the quality level of LiDAR being acquired to
enable more accurate understanding, modeling, and prediction
Goal to acquire national coverage in 8 years
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What is the 3DEP Elevation Program? 34 federal agencies, 50 states, sampling of local Govt’s,
tribes, private and non-profit organizations
Increase investment in 3D data from $45m to $146M
annually to return more than $690 million annually in new benefits
Leverage collaboration among Federal, States, local,
private and other partners to systematically complete national 3D data in 8 years
Use Private industry mapping firms and create jobs Achieve 25% cost efficiency gain by collecting larger
projects
Refresh National elevation data holdings with new LiDAR
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How it works
Stakeholders complete a grant application identifying proposed
funding partners and developing a technical approach for a prpoject.
Typically cost per sq mile for QL2 is between $190 and $330 If stakeholder wants higher than QL2 or more products USGS will
not contributed to these products but having higher Quality level or more products can’t hurt your award potential and could actually improve it.
Selection can improve if stakeholder contributes more than USGS Selection is also improved by USGS if other federal agencies have
interest in the proposed project area such as – NOAA, FEMA & NRCS.
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BAA Funding
USGS $6.5M
FEMA $2.1M
NRCS $5.8M
Non- Fed $12.5M
Total $27.7M
Sq. Miles 121,000.00 Per Sq. Mile $228.92 Additional investments
made in FY16 that will be contracted in FY17
FY15 -$39M and 150,000
FY16 3DEP Partnership Projects
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Received 42 proposals in 26
states
Total Value of $33.0m 152,000 sq. miles Partners offering
$19.8M and seeking $13.2M from 3DEP
Issued 24 awards
$5.9M Federal Funds Additional awards under
consideration
FY17 Preliminary Results of Proposals
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http://www.seasketch.org/#projecthomepage/5272840f6ec
5f42d210016e4
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https://nationalmap.gov/3DEP/BAAReferenceMaterials.html
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https://cms.geoplatform.gov/elevation/3DEP/Propose3DEPAOI
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USGS National Geospatial Program Lidar Base
Specification Version 1,2 November 2014 (B11-Chapter 4).
Standardize the Data For USGS.
and acceptance into 3DEP( formally NED ).
so set specifications to adapt to better Data.
http://pubs.usgs.gov/tm/11b4/pdf/tm11-B4.pdf
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For the data to be included into 3DEP and to have a
chance for BAA Funding it needs to be QL2 Data or better.
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Why we use Optech Galaxy Sensors
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Summary of QL2 Specifications
2 points per meter, minimum 90% of cells, First return check Vertical accuracy is 10cm or better for Non vegetated areas
Vegetated is 29.4cm at 95% confidence level
Accuracy Check Done using ASPRS Positional Accuracy Standards
for Digital Geospatial Data v1.0 November 2014
100 meter buffer around project area Use multi-return sensor Classification Standards Data has to be delivered in USGS Coordinates and Datum
NAD83(epoch 2010), NAVD88, Geoid 12A, UTM FEET*
Regularly point samplings (90 % of cells contain at least 1 return)
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Summary of QL2 Specifications (cont.) Ground conditions: snow free, Leaf off as best as possible,
Check accuracy of data using calibrated raw Strips Relative accuracy of the data is 6cm within Swath and 8cm
between Swaths, max swath difference 16cm
Data reported in standard GPS time accuracy reported as NVA points and VVA points based
Data provided in ASPRS LAS1.4 Format Hydro-flattened and hydro conditioned Breaklines
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Point Classifications These are the minimum requirements.
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Hydro Flattening
Water bodies of 8000m(2) or greater surface area at the time of
collection shall be flattened.
Flattened water bodies shall present a flat level water surface Water-surface edge shall be at or below the immediately
surrounding terrain
Long impoundments –such as reservoirs, inlets, fjords, whose water
surface elevation decrease with downstream travel will be treated as streams or rivers
Inland streams and rivers of a 30-m (100-ft) nominal width shall be
flattened
Streams or rivers whose width varies above and below 30 meters
will not be broken into multiple segments.
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Hydroflattening (cont.) Flattened streams and rivers shall present a flat and level
Flattened streams and rivers will be monontonic displaying
downward flow
Note that the new specification may require the Hydro to
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Tidal Hydroflattening
Any water body that is affected by tidal variations
Within each water body, the water surface shall be flat and
level for each different water surface elevation
Vertical discontinuities within the water body resulting form
tidal variations during collection are considered normal and shall be retained in the final DEM
Horizontal discontinuities along the shoreline of a water
body resulting from tidal variations during collection are considered normal and shall be retained in the final DEM
Islands 4000m(2) (1 acre or larger shall be delineated
within all water bodies.
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Deliverables
LAS Raw strips (calibrated) LAS fully Classified Hydro breaklines (geodatabase, Shape file) Hydroflattened DEM in IMG format or as required Intensity images Metadata (FGDC compliant) XML format Collection report Survey report Processing Report Other as need or required by Partner
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Flood Risk Management Infrastructure and Construction Management Natural Resources Conservation Agriculture and Precision Farming Water Supply and Quality Wildfire Management, Planning & Response Geologic Resource Assess/Hazard Mitigation Forest Resource Management Coastal, River and Stream Resource Management Land Navigation and Safety
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