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Application of Coastal and Marine Ec...

Ruby, Caitlin A.

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Application of Coastal and Marine Ecological Classification Standard (CMECS) to Remotely Operated Vehicle (Rov) Video Data for Enhanced Geospatial Analysis of Deep Sea Environments.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Application of Coastal and Marine Ecological Classification Standard (CMECS) to Remotely Operated Vehicle (Rov) Video Data for Enhanced Geospatial Analysis of Deep Sea Environments./
Author:	Ruby, Caitlin A.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2017,
Description:	289 p.
Notes:	Source: Masters Abstracts International, Volume: 56-04.
Contained By:	Masters Abstracts International56-04(E).
Subject:	Geographic information science and geodesy. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10268275
ISBN:	9781369706277

Application of Coastal and Marine Ecological Classification Standard (CMECS) to Remotely Operated Vehicle (Rov) Video Data for Enhanced Geospatial Analysis of Deep Sea Environments.
Ruby, Caitlin A.

Application of Coastal and Marine Ecological Classification Standard (CMECS) to Remotely Operated Vehicle (Rov) Video Data for Enhanced Geospatial Analysis of Deep Sea Environments. - Ann Arbor : ProQuest Dissertations & Theses, 2017 - 289 p.

Source: Masters Abstracts International, Volume: 56-04.

Thesis (M.S.)--Mississippi State University, 2017.

The Coastal and Marine Ecological Classification Standard (CMECS) provides a comprehensive framework of common terminology for organizing physical, chemical, biological, and geological information about marine ecosystems. Federally endorsed as a dynamic content standard, all federally funded data must be compliant by 2018; however, applying CMECS to deep sea datasets and underwater video have not been extensively examined. The presented research demonstrates the extent to which CMECS can be applied to deep sea benthic habitats, assesses the feasibility of applying CMECS to remotely operated vehicle (ROV) video data in near-real-time, and establishes best practices for mapping environmental aspects and observed deep sea habitats as viewed by the ROV's forward-facing camera. All data were collected during 2014 in the Northern Gulf of Mexico by the National Oceanic and Atmospheric Administration's (NOAA) ROV Deep Discoverer and ship Okeanos Explorer..

ISBN: 9781369706277Subjects--Topical Terms:

2122917
Geographic information science and geodesy.

Application of Coastal and Marine Ecological Classification Standard (CMECS) to Remotely Operated Vehicle (Rov) Video Data for Enhanced Geospatial Analysis of Deep Sea Environments.
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245 1 0 $a Application of Coastal and Marine Ecological Classification Standard (CMECS) to Remotely Operated Vehicle (Rov) Video Data for Enhanced Geospatial Analysis of Deep Sea Environments.
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500 $a Source: Masters Abstracts International, Volume: 56-04.
500 $a Adviser: Adam Skarke.
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520 $a The Coastal and Marine Ecological Classification Standard (CMECS) provides a comprehensive framework of common terminology for organizing physical, chemical, biological, and geological information about marine ecosystems. Federally endorsed as a dynamic content standard, all federally funded data must be compliant by 2018; however, applying CMECS to deep sea datasets and underwater video have not been extensively examined. The presented research demonstrates the extent to which CMECS can be applied to deep sea benthic habitats, assesses the feasibility of applying CMECS to remotely operated vehicle (ROV) video data in near-real-time, and establishes best practices for mapping environmental aspects and observed deep sea habitats as viewed by the ROV's forward-facing camera. All data were collected during 2014 in the Northern Gulf of Mexico by the National Oceanic and Atmospheric Administration's (NOAA) ROV Deep Discoverer and ship Okeanos Explorer..
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