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www.fugro.com Facing Challenges with New Techniques: Southeast Alaska to the Aleutian Islands Bob Richards, Andy Orthmann, Dean Moyles and Carol Lockhart Project thanks to JOA and Assoc. Fugro Pelagos, Inc. San Diego, CA

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Page 1: Facing Challenges with New Techniques: Southeast Alaska to

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Facing Challenges with New Techniques: Southeast Alaska to the Aleutian Islands

Bob Richards, Andy Orthmann, Dean Moyles and Carol Lockhart Project thanks to JOA and Assoc.

Fugro Pelagos, Inc. San Diego, CA

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Past Alaska Surveys

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NOAA 2007

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Survey Platforms

• Davidson– Mother Ship– Reson 8111– Bottom Samples

Davidson

D2R2

• R2/D2– Reson 8101– Bottom Samples– Capable of Shoreline

Verification

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Concept

• Due to the magnitude of the project and the areas to be surveyed, we thought this could be the right environment for a tilted head.– Survey Plan and Breakdown (Chatham Strait and Krenitzin Islands):

• Total of 22 Survey Sheets.• Approx. 700 Sq NM area to survey.• Approx. 350 NM of coastline to survey and verify.

• Fugro Pelagos, Inc. (FPI) has been conducting surveys with a rotated MB head since 1999.– Normally used for :

• Breakwater Surveys - where data is require to the water line.• Reservoir Surveys - volume computations.• Navy Surveys (vertical profile of berthing walls).

– Survey Technique.• Conventional method we use is to always stay on our data in near shore

areas.

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Shoreline Skiff (a.k.a. Lil’ Dude)

• Reson 8125 (rotated ~30 degrees to starboard)• 4m survey work• Shoreline Verification• Transit @ 25-30 knots (with pole up)

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Tilting the sonar head

NO ROLL ANGLE15° ROLL ANGLE30° ROLL ANGLE

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As depth increases, more data is lost than gained

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Survey Operations

• Triton ISIS for data acquisition• Bathy Pro for Real-time display• WinFrog (Navigation Software)

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Survey Operations

• Instead of having to run multiple lines to achieve the 4m contour, it usually took just one.

• Color coded DTM’s and NOAA charts were displayed as background layers in either ISIS (Bathy Pro) or WinFrog.

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Examples

• 8101 data from R2 (No Tilt).

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Examples

• Combined Data Set (8101 from R2 and Rotated 8125)

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Swath Editor

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Conclusions

• Pros:– The SAFETY factor.– Increased productivity on achieving the 4m contour.– Increased productivity for shoreline verification.

• Cons:– Could only run lines in one direction when conducting the nearshore

work.

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Need for LIDAR Recon Data

• 100% multibeamcoverage w/ shoreline verification required

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Need for LIDAR Recon Data

• 100% multibeamcoverage w/ shoreline verification required

• Existing chart data sparse

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Need for LIDAR Recon Data

• 100% multibeamcoverage w/ shoreline verification required

• Existing chart data sparse

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Need for LIDAR Recon Data

• 100% multibeamcoverage w/ shoreline verification required

• Existing chart data sparse

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Need for LIDAR Recon Data

• 100% multibeamcoverage w/ shoreline verification required

• Existing chart data sparse

• Complex ledges and rocks

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Need for LIDAR Recon Data

• 100% multibeamcoverage w/ shoreline verification required

• Existing chart data sparse

• Complex ledges and rocks

• Extreme tidal currents to 15 kts or more in narrow constrictions

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Need for LIDAR Recon Data

• 100% multibeamcoverage w/ shoreline verification required

• Existing chart data sparse

• Complex ledges and rocks

• Extreme tidal currents to 15 kts or more in narrow constrictions

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Need for LIDAR Recon Data

• 100% multibeamcoverage w/ shoreline verification required

• Existing chart data sparse

• Complex ledges and rocks

• Extreme tidal currents to 15 kts or more in narrow constrictions

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LiDAR Survey of Mitchell Bay

Spot Spacing 5m x 5m 3m x 3mAltitude 400 m 400 m

Swath Width 230 m 130 mFlying Speed 180 knots 127 knots

Coverage 100% 200%Survey Time ~ 6 hrs ~ 22 hrsSurvey Time ~ 6 hrs ~ 22 hrs

Spot Spacing 5m x 5m 3m x 3mAltitude 400 m 400 m

Swath Width 230 m 130 mFlying Speed 180 knots 127 knots

Coverage 100% 200%

PetersburgPetersburg

Mitchell BayMitchell Bay

KekuKekuStraitStrait

ChathamChathamStraitStrait

SitkaSitka

KakeKake

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SHOALS 3000-T LIDAR System

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Use of LIDAR Recon Data

• Geo-referenced photomosaics

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Use of LIDAR Recon Data

• Geo-referenced photomosaics

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Use of LIDAR Recon Data

• Geo-referenced photomosaics

• XYZ of LIDAR soundings used to create a DTM

LIDAR DTM

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Use of LIDAR Recon Data

• Geo-referenced photomosaics

• XYZ of LIDAR soundings used to create a DTM

• DTM color coded to differentiate between shallow and deeper areas

LIDAR DTM

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Use of LIDAR Recon Data

• Geo-referenced photomosaics

• XYZ of LIDAR soundings used to create a DTM

• DTM color coded to differentiate between shallow and deeper areas

• Survey crew used DTM to navigate in real-time, surveying from 4m out utilizing the rotated 8125

LIDAR DTM

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Use of LIDAR Recon Data

• Geo-referenced photomosaics

• XYZ of LIDAR soundings used to create a DTM

• DTM color coded to differentiate between shallow and deeper areas

• Survey crew used DTM to navigate in real-time, surveying from 4m out utilizing the rotated 8125

Multibeam DTM

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Use of LIDAR Recon Data

• LIDAR DTM at 5m resolution gave indication of shoals so they could be avoided

LIDAR DTM Multibeam DTM

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Use of LIDAR Recon Data

• LIDAR DTM at 5m resolution gave indication of shoals so they could be avoided

• Pinnacle-like features were not as obvious in LIDAR DTM

LIDAR DTM Multibeam DTM

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Benefits of LIDAR Recon Data

• Safety: We could avoid dangerous, uncharted features

Chart Chart with LIDAR DTM

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Benefits of LIDAR Recon Data

• Safety: We could avoid dangerous, uncharted features• Speed: We could increase our survey speed

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Benefits of LIDAR Recon Data

• Safety: We could avoid dangerous, uncharted features• Speed: We could increase our survey speed• Able to access and multibeam areas we otherwise might

not have attempted to reach

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Benefits of LIDAR Recon Data

• Safety: We could avoid dangerous, uncharted features• Speed: We could increase our survey speed• Able to access and multibeam areas we otherwise might not have

attempted to reach• Increased efficiency: Could open up line spacing and run lines more

directly

Normal “on data”approach

More direct approach

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Side-Looking Survey Ops

Cht’d Rk

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Aided with Shoreline Verification

RSD Item

Cht’d RkRSD Item

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Time Savings

Estimated: 36.4 days

Concerned if this was enough time because of the lack of data to plan on

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Time Savings

During Survey Ops forBoth areas:

Submitted 140 DTN’s

Documented 5228 Dp’s

Took 325 Bottom Samples

Estimated: 36.4 days

Actual: 15.3 days (cumulative)

Time Savings: 21.1 days

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Facing Challenges with New Techniques: Southeast Alaska to the Aleutian Islands

Bob Richards, Andy Orthmann, Dean Moyles and Carol Lockhart

Fugro Pelagos, Inc. San Diego, CA