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National Coral Reef Monitoring Program: Benthic Cover Derived from Analysis of Benthic Images Collected during Stratified Random Surveys (StRS) across the Pacific Remote Island Areas from 2023-03-15 to 2023-03-19 (NCEI Accession 0290543)


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            title:  National Coral Reef Monitoring Program: Benthic Cover Derived from Analysis of Benthic Images Collected during Stratified Random Surveys (StRS) across the Pacific Remote Island Areas from 2023-03-15 to 2023-03-19 (NCEI Accession 0290543)
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                date:  2024-04-03
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                  Anchor:  https://www.ncei.noaa.gov/archive/archive-management-system/OAS/bin/prd/jquery/institution/details/1730 NOAA National Centers for Environmental Information
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                  Anchor:  https://www.ncei.noaa.gov/archive/archive-management-system/OAS/bin/prd/jquery/person/details/5640 Lori Luers
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                  Anchor:  https://www.ncei.noaa.gov/archive/archive-management-system/OAS/bin/prd/jquery/institution/details/1866 US DOC; NOAA; NMFS; Pacific Islands Fisheries Science Center; Ecosystem Sciences Division
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                  Anchor:  https://www.ncei.noaa.gov/archive/archive-management-system/OAS/bin/prd/jquery/person/details/4821 Thomas A. Oliver
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                  Anchor:  https://www.ncei.noaa.gov/archive/archive-management-system/OAS/bin/prd/jquery/institution/details/1866 Ecosystem Sciences Division, Pacific Islands Fisheries Science Center
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        abstract:  The data described here resulted from benthic photo-quadrat surveys conducted along transects at stratified random sites across the Pacific Remote Island Areas, including Baker and Howland in 2023 as a part of Rapid Ecological Assessment (REA) surveys for corals and fish. Benthic habitat imagery was quantitatively analyzed using the web-based annotation tool CoralNet (Beijbom et al. 2016). Images were analyzed to produce three functional group levels of benthic cover: Benthic habitat images collected during photoquadrat surveys are quantitatively analyzed visually with the assistance of a web-based, machine-learning, image annotation tool, CoralNet. The robot tool annotates ten random points on each image for a total of 300 points per site, which are then reviewed by human analysts. The human annotations are then used to train the robot. This data is the final form of the robot-assisted human annotations.  Taxa identification occurs at three functional group levels of benthic cover. Tier 1 (e.g., coral, soft coral, macroalgae, turf algae, etc.), Tier 2 (e.g., Coral = massive hard coral, branching hard coral, foliose hard coral, encrusting hard coral, etc.; Macroalga = upright macroalgae), and Tier 3 (e.g., Coral = Astreopora sp, Favia sp, Pocillopora, etc.; Macroalgae = Caulerpa sp, Dictyosphaeria sp, Padina sp, etc.). If Tier 3 resolution is not possible, the next finest resolution is used. A stratified random sampling (StRS) design was employed to survey the coral reef ecosystems across the region. The survey domain encompassed the majority of the mapped area of reef and hard bottom habitats in the 0-30 m depth range. The stratification scheme included island, reef zone, and depth. Sampling effort was allocated based on strata area and sites were randomly located within strata. Sites were surveyed using photo-quadrats along transects to collect benthic imagery to ultimately produce estimates of relative abundance (benthic cover), frequency of occurrence, benthic community taxonomic composition and relative generic richness. The StRS design effectively reduces estimate variance through stratification using environmental covariates and by sampling more sites rather than sampling more transects at a site. Therefore, site-level estimates and site to site comparisons should be used with caution.
        purpose:  The National Coral Reef Monitoring Program (NCRMP) details a long-term approach to provide an ecosystem perspective via monitoring climate, fish, benthic, and socioeconomic variables in a consistent and integrated manner. The NCRMP is intended to coordinate various Coral Reef Conservation Coral Reef Program (CRCP) biological, physical, and human dimensions activities into a cohesive NOAA-wide effort. Through the implementation of the NCRMP, NOAA will be able to clearly and concisely communicate results of national-scale monitoring to national, state, and territorial policy makers, resource managers, and the public on a periodic basis. The National Coral Reef Monitoring Program (NCRMP) is a framework for conducting sustained observations of biological, climate, and socioeconomic indicators at 10 priority coral reefs across the U.S. and its territories. This integrated approach will consolidate monitoring of coral reefs under a uniform method in the Pacific, Atlantic, Caribbean, and the Gulf of Mexico for the first time. NCRMP is funded by the CRCP and supported by NOAA Fisheries, NOAA National Centers for Coastal Ocean Science (NCCOS), and many other partners. The Ecosystem Sciences Division at NOAA Fisheries is leading biological monitoring in the U.S. Pacific Islands Region. The biological component of NCRMP in the Pacific provides a triennial ecological characterization at a broad spatial scale of general reef condition for reef fishes, corals and benthic habitat (i.e., fish species composition/density/size, benthic cover, and coral density/size/condition). Innovative analysis techniques are then used to develop products that give fellow scientists, managers, decision makers and the public a better understanding of a region’s resources and how they are changing over time.
        credit:  Related Funding Agency: US DOC; NOAA; NOS; Coral Reef Conservation Program
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                title:  Pacific Islands Fisheries Science Center, 2024: National Coral Reef Monitoring Program: Benthic Cover Derived from Analysis of Benthic Images Collected during Stratified Random Surveys (StRS) across the Pacific Remote Island Areas since 2014
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                description:  NCEI Accession 0290543 v1.1 was published.
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                  DateTime:  2024-04-03T12:08:28Z
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                description:  Parameter or Variable: BENTHIC COMMUNITIES (measured); Units: unitless; Observation Category: visual estimate; Sampling Instrument: photograph; Sampling and Analyzing Method: Benthic habitat images collected during photoquadrat surveys are quantitatively analyzed visually with the assistance of a web-based, machine-learning, image annotation tool, CoralNet. The robot tool annotates ten random points on each image for a total of 300 points per site, which are then reviewed by human analysts. The human annotations are then used to train the robot. This data is the final form of the robot-assisted human annotations.  Taxa identification occurs at three functional group levels of benthic cover. Tier 1 (e.g., coral, soft coral, macroalgae, turf algae, etc.), Tier 2 (e.g., Coral = massive hard coral, branching hard coral, foliose hard coral, encrusting hard coral, etc.; Macroalga = upright macroalgae), and Tier 3 (e.g., Coral = Astreopora sp, Favia sp, Pocillopora, etc.; Macroalgae = Caulerpa sp, Dictyosphaeria sp, Padina sp, etc.). If Tier 3 resolution is not possible, the next finest resolution is used.; Data Quality Method: ACCURACY: 1) Each analyst is required to complete training and a calibration exercise prior to image analysis (classification/annotation), and follows the Benthic Image Analysis Standard Operating Procedure (Lozada-Misa et al. 2017). For a calibration exercise, a subset of photos (~100-150) are selected from the production series and CoralNet assigns 10 random fixed points per photo. Each analyst classifies the same set of points for each of the photos used in the calibration exercise. The goal of the calibration exercise is to assess inter-observer variability. 2) Handheld GPS units were used to locate random sites and mark site locations. COMPLETENESS REPORT: The data set derived from the image analysis is as good as the images themselves; poor images with low contrast, inappropriate white balance, or out of focus may have to be discarded. Therefore, benthic estimates for some sites may derive from differing numbers of points between sites. Although the analysis process is statistically robust to allow for differing n (points) between sites, users should be aware of this limitation..
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                code:  photograph
            type:  photograph
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                code:  NOAA Ship Rainier
            description:  Title: NOAA Ship Flag: United States of America Vessel Type: Research Vessel (Hydrographic) DOB: Apr 1968 IMO: 6711003 Hull Classification: S 221
            instrument: (missing)