MARN3220Julia Otero

What is MHM?Integration of:Physical SamplingSatellite DataAircraft MethodsShipboard Remote Sensing Data

Cogan et al. 2009

MHM Integration

Adapted from Cogan and Noji 2007

Physical SamplingDredgingSediment Profile Imagery

Tool acts as an inverted periscope

Sediment ProfileThis can be a less expensive way to gain knowledge of sediment type thancore samples according to MESH

Satellite DataLiDar (Light Detecting and Ranging)Bathymetry

Uses GPS and Laser to create images similar to sonar.

Combination of MethodsLaser 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 SensingSide-Scan Sonar

Towfish*Has the capability to capture hundreds of meters

1. Depth inside acoustic path2. Vertical beam angle3. Range setting 4. Width covered by one signal5. Tow depth of side scan sonar6. Port and starboard channel separation7. Swath width across seafloor.

www.starfishsonar.com

Remote Sensing cont’dSingle beam sonar/echosounder

Fish finder

Lower frequencies penetrateseafloor 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

ConclusionMHM 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 CitedPrimary 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 NebraskaSmith, 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.euwww.ct.gov/DEPwww.fws.govwww.searchmesh.netwww.starfishsonar.com