MARN3220
Julia Otero
What is MHM?
Integration of:
Physical Sampling
Satellite Data
Aircraft Methods
Shipboard Remote Sensing Data
Cogan et al. 2009
MHM Integration
Adapted from Cogan and Noji 2007
Physical Sampling
Dredging
Sediment Profile Imagery
Tool acts as an inverted periscope
Sediment Profile
This can be a less expensive way to
gain knowledge of sediment type than
core samples according to MESH
Satellite Data
LiDar (Light Detecting and Ranging)
Bathymetry
Uses GPS and
Laser to create
images similar to
sonar.
Combination of Methods
Laser Airborne Methods (LADS) and Light Detecting
and Ranging (LiDar)
www.searchmesh.net
Aircraft Methods
Aerial Photography
Seagrass
(Zostera marina)
habitat map
Similar to
terrestrial habitat
community level
mapping
www.searchmesh.net
Remote Sensing
Side-Scan Sonar
 Towfish
*Has the capability
to capture hundreds
of meters
1. Depth inside acoustic path
2. Vertical beam angle
3. Range setting
4. Width covered by one signal
5. Tow depth of side scan sonar
6. Port and starboard channel separation
7. Swath width across seafloor.
www.starfishsonar.com
Remote Sensing cont’d
Single beam sonar/echosounder
Fish finder
Lower frequencies penetrate
seafloor whereas higher frequencies
(kHz) provide a clearer seabed image.
www.whoi.edu
MHM is Great, But…
Vessel Noise Timing Off Errors
Corrected
www.searchmesh.net
Conservation
Cogan et al. 2009
Making Sense of Mapping
MHM using MESH
EUNIS Color
Schematic
Conclusion
MHM is still a new science that is growing as
technology is developing.
More organizations need to work together
towards a common goal in order to utilize
MHM.
Although time consuming the pay off is great!
Works Cited
Primary Literature:
Bulat. 2005 “Interpretation of Seabed Images on Commercial 3D Seismic”
Cogan et al. 2009 “The Role of Marine Habitat in Ecosystem Based
Management”
Diaz, José Vicente Martínez. 2000 “Analysis of Multibeam Sonar Data for the
Characterization of Seafloor Habitats.”
Fish, J.P. & Carr, A.H. 2000 “Sound Reflections: Advanced Applications of Side
Scan Sonar”
Huising, E.J. & Gomes, P.L.M. 1998 “Errors and accuracy estimates of laser data
acquired by various laser scanning systems for topographic applications.”
Mishra, D. 2003 Processing GPS data from the NASA Experimental Advanced
Research LiDAR University of Nebraska
Smith, R.A., Irish, J.L. & Smith, M.Q. 2000 “Airborne LiDAR and airborne
hyperspectral imagery: a fusion of two proven sensors for improved hydrographic
surveying.”
Web Resources:
www.discover.whoi.eu
www.ct.gov/DEP
www.fws.gov
www.searchmesh.net
www.starfishsonar.com

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J.Otero Presentation MHM

  • 2. What is MHM? Integration of: Physical Sampling Satellite Data Aircraft Methods Shipboard Remote Sensing Data Cogan et al. 2009
  • 3. MHM Integration Adapted from Cogan and Noji 2007
  • 4. Physical Sampling Dredging Sediment Profile Imagery Tool acts as an inverted periscope
  • 5. Sediment Profile This can be a less expensive way to gain knowledge of sediment type than core samples according to MESH
  • 6. Satellite Data LiDar (Light Detecting and Ranging) Bathymetry Uses GPS and Laser to create images similar to sonar.
  • 7. Combination of Methods Laser Airborne Methods (LADS) and Light Detecting and Ranging (LiDar) www.searchmesh.net
  • 8. Aircraft Methods Aerial Photography Seagrass (Zostera marina) habitat map Similar to terrestrial habitat community level mapping www.searchmesh.net
  • 9. Remote Sensing Side-Scan Sonar  Towfish *Has the capability to capture hundreds of meters 1. Depth inside acoustic path 2. Vertical beam angle 3. Range setting 4. Width covered by one signal 5. Tow depth of side scan sonar 6. Port and starboard channel separation 7. Swath width across seafloor. www.starfishsonar.com
  • 10. Remote Sensing cont’d Single beam sonar/echosounder Fish finder Lower frequencies penetrate seafloor whereas higher frequencies (kHz) provide a clearer seabed image. www.whoi.edu
  • 11. MHM is Great, But… Vessel Noise Timing Off Errors Corrected www.searchmesh.net
  • 13. Making Sense of Mapping MHM using MESH EUNIS Color Schematic
  • 14. Conclusion MHM is still a new science that is growing as technology is developing. More organizations need to work together towards a common goal in order to utilize MHM. Although time consuming the pay off is great!
  • 15. Works Cited Primary Literature: Bulat. 2005 “Interpretation of Seabed Images on Commercial 3D Seismic” Cogan et al. 2009 “The Role of Marine Habitat in Ecosystem Based Management” Diaz, José Vicente Martínez. 2000 “Analysis of Multibeam Sonar Data for the Characterization of Seafloor Habitats.” Fish, J.P. & Carr, A.H. 2000 “Sound Reflections: Advanced Applications of Side Scan Sonar” Huising, E.J. & Gomes, P.L.M. 1998 “Errors and accuracy estimates of laser data acquired by various laser scanning systems for topographic applications.” Mishra, D. 2003 Processing GPS data from the NASA Experimental Advanced Research LiDAR University of Nebraska Smith, R.A., Irish, J.L. & Smith, M.Q. 2000 “Airborne LiDAR and airborne hyperspectral imagery: a fusion of two proven sensors for improved hydrographic surveying.” Web Resources: www.discover.whoi.eu www.ct.gov/DEP www.fws.gov www.searchmesh.net www.starfishsonar.com