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Optic and Acoustic

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Title: Optic and Acoustic


1
Optic and Acoustic Mapping Tools For Habitat
Characterization http//nebo.whoi.edu
Amber York, Scott Gallager, Richard Taylor,
Norman Vine, Steve Lerner, Larry Mayer, Peter
Auster, Lakshman Prashad, Yuri Rzhanov, and a
host of others
Shallow Water 2008
2
  • Outline
  • Scott
  • Project Background
  • Optical Tools
  • Image Processing Techniques
  • Optic and Acoustic data integration
  • Sampling Design
  • Amber
  • Example Data Sets

3
F/V Kathy Marie
Habitat Mapping Camera System
4
Project Background Research Set-Aside Program(RSA)
5
Northeast Bentho-pelagic Observatory (NEBO)
Northeastern Regional Coastal Ocean Observing
System
1. Stellwagen Bank Marine Sanctuary 2. Northeast
Peak, Closed Area II, Habitat of Particular
Concern 3. Great South Channel 4. Hudson Canyon
Closed Area
Selection of 4 Sentinel Sites
6
0.68 inch fiber optic tow cable
Machine vision digital stereo video cameras
Fiber optic telemetry bottle
Benthos Altimiter
SBE 37 CTD
2 Imagenix side scan sonars
RDI 1200 kHz ADCP
Strobe
Strobe
x4
3 m altitude typical
HABCAM Habitat Mapping Camera System
Stereo 2 Mpixel system
1m Field of View 5 10 frames per second gt50
overlap _at_ 5kts
7
Continuous Image Survey
  • 5-6 images/s _at_ 5 kts
  • 216 kilometers traveled
  • 259,200 m2/ day
  • 2 TB of images per /day

8
Continuous Image Survey
  • 5-6 images/s _at_ 5 kts
  • 216 kilometers traveled
  • 259,200 m2/ day
  • 2 TB of images per /day

9
Automated mosaicing post process now.real-time
soon with Yuri Rzhanov (UNH)
10
Elephant Trunk January 2006
Automated segmentation and classification The
challenge
11
Automated image segmentation
Original image
Fine scale segmentation
Aggregate polygons to course scale
Frequency distribution of all polygon areas
Substrate grain size
12
Automated Identification of Didemnum and
Percent Cover Estimation
13
Automated Didemnum Identification
14
Integration of optics and acoustics
Kongsberg EM3002 300 kHz multibeam
175 kHz AST Synthetic Aperture Side scan VPR,
CTD, Fluorometer on Focus vehicle
Imagenix 600 kHz side scan
Stereo optical imaging
30m
3m
VPR, CTD, Fluorometer
15
Integration of Multi-resolution imaging
modalities
300 kHz Multibeam 300 m swath 2 m resolution
175 kHz synthetic aperture side scan, 200m
swath 5 cm resolution
600 kHz side scan 50 m swath 2 cm resolution
CCD 1 m swath 1 mm resolution
16
Fusion of multibeam, sidescan, and optical imaging
175 kHz Synthetic aperture side scan
17
Ground fish abundance (/m2) 20 m bins
18
175 kHz Side scan- Applied Signal Technology
single dredge track
19
175 kHz Side scan- Applied Signal Technology,
field of dredge tracks
20
Experimenting with sampling design
Grid pattern
21
Experimenting with sampling design
Spiral pattern
22
Power Spectrum of Abundance as a Function of
Spatial scale Elephant Trunk scallops
Patchiness index can be used for dynamic
sampling of scallop populations
1000 900 800 700 600 500
400 300 200 100
Spatial Scale (m)
23
Data Products Species diversity
scallop
seastar
24
Taxon composition
Distance (m)
25
Didemnum an invasive tunicate with potential
impact on fisheries
(York et al. 2008)
26
(No Transcript)
27
Imagenix 881a 600kHz sidescan mode
28
Didemnum areas observed with HabCam
29
Closed and Open Areas
  • Percent cover higher in CLAII, an area closed to
    fishing

observations
30
Didemnum Cover and Organism Abundances
Inverse relationship between Didemnum cover and
many groups of epifauna
31
Change in Didemnum cover over time
  • Three Cruises
  • August 2007
  • May 2008
  • - August 2008

32
CLAII Time Series
August, 2007- High Level of Didemnum sp.
08/2007 mean 34.75 max 100 min 0
std 33.4273 n 610 stderr
1.3534
33
CLAII Time Series
May, 2008- Scarce Didemnum sp.
05/2008 mean 0.14 max 10 min 0
std 0.8975 n 425 stderr
0.0435
34
CLAII Time Series
August, 2008 - Didemnum sp. filling in
08/2008 mean 2.81 max 60 min 0
std 4.1475 n 1183 stderr
0.1206
35
  • Conclusions
  • Optical imaging systems are being used
  • to ground-truth substrate identified
  • by acoustics
  • Combination of optics and acoustics can
  • provide critical habitat information and
  • data products for ecosystem approaches
  • to management
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