Benthic Surveys in Faga'alu, American Samoa: benthic cover derived from analysis of benthic images collected during belt transect surveys of coral demography from 2020-01-15 to 2020-01-24 (NCEI Accession 0259709)
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title: Benthic Surveys in Faga'alu, American Samoa: benthic cover derived from analysis of benthic images collected during belt transect surveys of coral demography from 2020-01-15 to 2020-01-24 (NCEI Accession 0259709)
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abstract: The benthic cover data described herein were generated by the NOAA Ecosystem Sciences Division (former Coral Reef Ecosystem Program, CREP) from the quantitative analysis of photoquadrat benthic images using the image analysis software CoralNet, whereby random points are projected on each image and the benthic elements falling directly underneath each point are identified. The images were collected at sites in Faga'alu Bay in 2020 during belt transect surveys of coral demography. The data can be accessed online via the NOAA National Centers for Environmental Information (NCEI) Ocean Archive. The source imagery for this dataset are archived separately and accessible on NCEI.
purpose: These data are part of a NOAA Coral Reef Conservation Program (CRCP) funded project aimed at establishing baseline data for benthic cover and composition via Rapid Ecological Assessment (REA) surveys conducted by the NOAA Ecosystem Sciences Division (ESD) (formerly Coral Reef Ecosystem Program -CREP) at Faga'alu Bay, Tutuila, American Samoa between 2012 and 2020. In August 2012 Faga'alu watershed in American Samoa was adopted by the U.S. Coral Reef Task Force Watershed Partnership Initiative as a priority site, with the objective to reduce inputs of land-based sources of pollution to nearby coastal areas and coral reefs within the watershed. The Samoa Maritime rock quarry was found to be a major contributor to the periodic flux of excessive sediments onto the adjacent reef in Faga'alu. In September of December 2014, mitigation actions were implemented at the Samoa Maritime Quarry, including the installation of drainage systems, alternative ground cover, and retention ponds. Data were collected to assess the effectiveness of management actions to reduce land-based sources of pollution impacts undertaken at the Samoa Maritime rock quarry. Pre-intervention baseline data were collected in 2013 and subsequent post-intervention monitoring in 2015 and 2020. Funding provided by the NOAA Coral Reef Conservation Program (CRCP) through two internal projects entitled. 1) Comprehensive Baseline Assessment and Pilot Test of Outcome Performance Measures in Faga'alu Bay, American Samoa, awarded to Suzie Holst. 2) Status and Trends Assessment for Land-based Sources of Pollution Impacts on Benthic Reef Communities in Faga'alu Bay and Vatia Bay, American Samoa, awarded to the NOAA Ecosystem Sciences Division.
credit: Related Funding Agency: US DOC; NOAA; NMFS; Pacific Islands Fisheries Science Center
credit: Related Funding Agency: US DOC; NOAA; NOS; Coral Reef Conservation Program
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title: Lozada-Misa, P., Schumacher, B., & Vargas-Ángel, Bernardo, 1965-. (20 C.E.). Analysis of benthic survey images via CoralNet : a summary of standard operating procedures and guidelines. U.S. Department of Commerce, National Oceanic and Atmospheric Administration, National Marine Fisheries Service, Pacific Islands Fisheries Science Center. https://doi.org/10.7289/v5/ar-pifsc-h-17-02
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description: Parameter or Variable: BENTHIC COMMUNITIES (calculated); 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., hard coral, soft coral, macroalgae, turf algae, etc.), Tier 2 (e.g., Hard Coral = massive, branching, foliose, encrusting, etc.; Macroalgae = upright macroalgae, encrusting macroalgae, bluegreen macroalgae, and Halimeda, etc.), and Tier 3 (e.g., Hard Coral = Astreopora sp, Favia sp, Pocillopora, etc.; Macroalgae = Caulerpa sp, Dictyosphaeria sp, Padina sp, etc.); 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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description: still images used as the basis for making parameter determinations
