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Joint Airborne Lidar Bathymetry
Technical Center of Expertise
US Army Corps of Engineers
BUILDING STRONG®
Coastal Zone Mapping and Imaging Lidar (CZMIL)
Shallow Survey 2012
Wellington, New Zealand
Christopher L. Macon
U.S. Army Corps of Engineers, Mobile District
Joint Airborne Lidar Bathymetry Technical Center of eXpertise
22 February 2012
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Joint Airborne Lidar Bathymetry
Technical Center of Expertise
US Army Corps of Engineers
BUILDING STRONG®
Joint Airborne Lidar Bathymetry
Technical Center of Expertise
OPERATIONS
RESEARCH AND
DEVELOPMENT
Annual Technical Workshop June 2012, Chicago
Sensors
and
systems
Data
exploitation
SOPs Collection
areas
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BUILDING STRONG®
Bathymetry
Topography
Measurements/Sec
200 400 900 1,000 3,000 10,000
’03 CHARTS
’94 SHOALS
‘99 SHOALS
’05 CHARTS ’12 CZMIL
Lidar Program History
Photogrammetry
Spectral Imagery
Data Fusion
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BUILDING STRONG®
USACE National Coastal Mapping Program
1
2
3
4
5
Products
• ASCII XYZ
• Aerial photos
• Zero contour
• Aerial photo mosiacs
• 1-meter bathy/topo DEM
• LAS format topo
• 1-meter bathy/topo bare earth
DEM
• Hyperspectral image mosaics
• Laser reflectance images
• Basic landcover classification
• Volume change
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BUILDING STRONG®
Coastal Zone Mapping and Imaging Lidar
3 Operations
• MTBF 1,000 operational hours
• One airborne operator or less
• Three field processors or less
• Average 200 square nautical miles per week
• One KGPS base station or less per 200 km of coast
• Twenty four months continuous field operations (operational @ 90%)
• Five days average in-field repair time
• All sensors calibrate with in 24 hours
• Manufacturer maintenance & repair support
Operational system with automated / integrated processing1, products2, and operations3
2 Products
• Collection : product ratio of 1:5
• Accurate bathy from 0-20 meters (+/- 30 cm; 2 σ)
at 2 m resolution
• Accurate topo (+/- 15 cm; 2 σ) at 0.5 m resolution
• Spectral imagery at 50 cm resolution
• Identification of 2m x 2m x 2m navigation hazards.
• Seamless topo / bathy 1m digital elevation model
(DEM)
• Seamless topo / bathy 1m bare earth DEM
• Urban feature dimensions & attribution
• RGB orthorectified imagery (0.5 m pixel
resolution; 2 m positioning accuracy)
• Shoreline vector @ “0” NAVD88
• USGS Dhi elevations
• Bottom reflectance images
• Water & water surface characterization
• Habitat identification polygons @ 2m accuracy – Dry beach
– Wet beach
– Dune
– Vegetated dune
– Vegetation types
– Urban features (buildings & roads)
– Sand v. hard bottom v. lag v. cobble v. clay v.
seagrass v. vegetation
– Sediment grain size & type
1 Processing
• Automated processing, editing, products, and metadata
• Integrated processing, editing and products
• Automated / integrated survey implementation
• Runs on COTS hardware
Requirement
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BUILDING STRONG®
Coastal Zone Mapping and Imaging Lidar
Sensor Suite
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Control Rack
Thermal Rack
Laser Rack Operator Rack
Lidar Sensor Head
T-4800 Camera
CASI-1500
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BUILDING STRONG®
Coastal Zone Mapping and Imaging LidarCoastal Zone Mapping and Imaging LidarCZMIL lidar: HYBRID approach – Conical Scanning
x
x’
y’
3 2
4 0 1
5 6
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400 m
290 m
140 kts
Coastal Zone Mapping and Imaging LidarCoastal Zone Mapping and Imaging LidarOperational Scenario
Bathymetry
Diameter of laser spot = 2.5 meters
Diameter of largest void = 0.54 meters
Topography
Diameter of laser segment spot = 0.83 meters
Diameter of largest segment void = 0.7 meters
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Coastal Zone Mapping and Imaging Lidar Coastal Zone Mapping and Imaging LidarCoastal Zone Mapping and Imaging Lidar
Sensor Design – Cables, Cooling, Connectors
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BUILDING STRONG®
Coastal Zone Mapping and Imaging Lidar
Laser
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BUILDING STRONG®
Lidar bathymetry operating principles/limitations
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Lidar bathymetry operating principles/limitations
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Coastal Zone Mapping and Imaging Lidar
0
100
200
300
400
500
0 50 100 150 200 250 300 350 400
Co
un
ts
Time bins(ns)
SHOALS (Actual)
0 50 100 150 200 250 300 350 400
CZMIL
Ft. Lauderdale water, 25m (40mrad channel, Kd ≈ 0.12 m-1)
Higher Signal, Better SNR
Better (shorter) system response
P3
P4
Ft. Lauderdale, 1.5m (Kd ≈ 0.12 m-1 , Shallow water channels) CZMIL
Better SNR and shorter system response
• Detect bottom deeper
• More accurate input to algorithms
• Better shallow water discrimination
CZMIL compared to SHOALS
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Coastal Zone Mapping and Imaging Lidar
Data Processing System
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Coastal Zone Mapping and Imaging Lidar
Data Processing System (L3)
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Coastal Zone Mapping and Imaging LidarCoastal Zone Mapping and Imaging Lidar
Water leaving
reflectance
Water column
attenuation
CDOM
absorption
Chl
concentration
Active seafloor
reflectance
Spectral seafloor
reflectance Data Fusion Products
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BUILDING STRONG®
Coastal Zone Mapping and Imaging Lidar
CZMIL Geometric Calibrator
Coastal Zone Mapping and Imaging LidarCoastal Zone Mapping and Imaging Lidar
images courtesy of Dr. Michael Gonsalves, LT/NOAA (NOS/NGS/RSD)
Geometric calibration can be performed
using a planar featureless surface
- Airport Runway
- Sea surface
Parameters generated using a weighted
least squares adjustment
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Coastal Zone Mapping and Imaging Lidar
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Coastal Zone Mapping and Imaging LidarCoastal Zone Mapping and Imaging Lidar
In-field Diagnostics
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BUILDING STRONG®
Coastal Zone Mapping and Imaging Lidar
Environmental and Proxy Testing – Airworthiness
Coastal Zone Mapping and Imaging LidarCoastal Zone Mapping and Imaging Lidar
DO-160F Style Testing
• Vibration
• Shock/crash safety
• Temperature
• Humidity
• Fire/flammability
• Emission of radio
frequency energy
• Power input
• Voltage spike
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Coastal Zone Mapping and Imaging Lidar
Environmental and Proxy Testing
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Coastal Zone Mapping and Imaging Lidar
Environmental and Proxy Testing – Hard Target Tests
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Hard target at 65.33 m (attenuator)
Target return
Fiber delay
Hard target at 65.33 m and fiber delay(attenuator)
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Coastal Zone Mapping and Imaging Lidar
Schedule
• Early March 2012: integration of CZMIL into aircraft
• Acceptance Tests – MS Barrier Islands (Mud/sand bottom) – Late March 2012
– Fort Lauderdale, FL (Coral/Bright sand bottom) – Mid April 2012
Coastal Zone Mapping and Imaging LidarCoastal Zone Mapping and Imaging Lidar
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BUILDING STRONG®
Coastal Zone Mapping and Imaging Lidar
Questions?
Christopher L. Macon
[email protected]