Optical delineation of benthic habitat using an autonomous underwater vehicle
Identifieur interne : 000249 ( Istex/Corpus ); précédent : 000248; suivant : 000250Optical delineation of benthic habitat using an autonomous underwater vehicle
Auteurs : Mark A. Moline ; Dana L. Woodruff ; Nathan R. EvansSource :
- Journal of Field Robotics [ 1556-4959 ] ; 2007-06.
Abstract
To better characterize and improve our understanding of coastal waters, there has been an increasing emphasis on autonomous systems that can sample the ocean on relevant scales. Autonomous underwater vehicles (AUVs) with active propulsion are especially well suited for studies of the coastal ocean because they are able to provide systematic and near‐synoptic spatial observations. With this capability, science users are beginning to integrate sensor suits for a broad range of specific and often novel applications. Here, the relatively mature Remote Environmental Monitoring Units (REMUS) AUV system is configured with multi‐spectral radiometers to delineate benthic habitat in Sequim Bay, WA. The vehicle was deployed in a grid pattern along 5 km of coastline in depths from 30 to less than 2 m. Similar to satellite and/or aerial remote sensing, the bandwidth ratios from the downward looking radiance sensor and upward looking irradiance sensor were used to identify beds of eelgrass on submeter scales. Strong correlations were found between the optical reflectance signals and the geo‐referenced in situ data collected with underwater video within the grid. Results demonstrate the ability of AUVs to map littoral habitats at high resolution and highlight the overall utility of the REMUS vehicle for near‐shore oceanography. © 2007 Wiley Periodicals, Inc.
Url:
DOI: 10.1002/rob.20176
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Autonomous underwater vehicles (AUVs) with active propulsion are especially well suited for studies of the coastal ocean because they are able to provide systematic and near‐synoptic spatial observations. With this capability, science users are beginning to integrate sensor suits for a broad range of specific and often novel applications. Here, the relatively mature Remote Environmental Monitoring Units (REMUS) AUV system is configured with multi‐spectral radiometers to delineate benthic habitat in Sequim Bay, WA. The vehicle was deployed in a grid pattern along 5 km of coastline in depths from 30 to less than 2 m. Similar to satellite and/or aerial remote sensing, the bandwidth ratios from the downward looking radiance sensor and upward looking irradiance sensor were used to identify beds of eelgrass on submeter scales. Strong correlations were found between the optical reflectance signals and the geo‐referenced in situ data collected with underwater video within the grid. Results demonstrate the ability of AUVs to map littoral habitats at high resolution and highlight the overall utility of the REMUS vehicle for near‐shore oceanography. © 2007 Wiley Periodicals, Inc.</div></front></TEI><istex><corpusName>wiley</corpusName><author><json:item><name>Mark A. Moline</name><affiliations><json:string>Biological Sciences Department Center for Marine and Coastal Sciences California Polytechnic State University San Luis Obispo, California 93407</json:string><json:string>E-mail: moline@marine.calpoly.edu</json:string></affiliations></json:item><json:item><name>Dana L. Woodruff</name><affiliations><json:string>Battelle Marine Sciences Laboratory Pacific Northwest National Laboratory (PNNL) 1529 West Sequim Bay Road Sequim, Washington 98382</json:string><json:string>E-mail: dana.woodruff@pnl.gov</json:string></affiliations></json:item><json:item><name>Nathan R. 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Here, the relatively mature Remote Environmental Monitoring Units (REMUS) AUV system is configured with multi‐spectral radiometers to delineate benthic habitat in Sequim Bay, WA. The vehicle was deployed in a grid pattern along 5 km of coastline in depths from 30 to less than 2 m. Similar to satellite and/or aerial remote sensing, the bandwidth ratios from the downward looking radiance sensor and upward looking irradiance sensor were used to identify beds of eelgrass on submeter scales. Strong correlations were found between the optical reflectance signals and the geo‐referenced in situ data collected with underwater video within the grid. 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|clé= ISTEX:CA32B516CB1FB83C363A1EFC1872C9A5B1F00BA5
|texte= Optical delineation of benthic habitat using an autonomous underwater vehicle
}}
| This area was generated with Dilib version V0.6.32. |  |