Description: Boundaries of marine protected areas (MPAs) in Saipan Lagoon, CNMI.
Dataset Citation: CNMI BECQ. 2017. CNMI Marine Protected Areas. Data Downloaded 2 February 2017. Data Website: http://becq1-dcrm.opendata.arcgis.com/datasets/10554ab4b3a44065ae0536cc0ba3e2b6_0 (Site Accessed 16 February 2017).
Copyright Text: For web services, please acknowledge: NOAA NOS NCCOS CCMA Biogeography Branch
Description: The boundary for the 2016 benthic habitat mapping project in Saipan Lagoon, CNMI.
Dataset Citation: Kendall, M., B. Costa, S. McKagan, L. Johnston, and D. Okano. 2017. Benthic Habitat Maps of Saipan Lagoon. NOAA Technical Memorandum NOS NCCOS 229. Silver Spring, MD. 79 pp.
Copyright Text: For web services, please acknowledge: NOAA NOS NCCOS CCMA Biogeography Branch
Description: We collected underwater video and photos at 243 GV and 273 AA sites between 7/28/2016 and 8/9/2016 in collaboration with staff from the local NOAA’s CNMI Field Office and CNMI Bureau of Environmental and Coastal Quality. We navigated to these sites via boat, kayak or by snorkeling (depending on the depth and accessibility of the site). At each site, we deployed two Go Pro HERO4 black cameras (one camera looked down, and the other obliquely) on an aluminum pole for sites <9 m deep and on a rope attached to a rotating camera system for sites >9 m deep. For both deployment techniques, the downward looking Go Pro camera was fixed at 1 meter above the seafloor to standardize the area being photographed on the seafloor (approximately 1 square meter). Once the cameras were deployed, we started recording our location using a Trimble GeoXH GPS receiver. The Trimble receiver captured the vessel’s position while the underwater camera recorded video of the seafloor. Each site was classified in real time. Substrate and cover types were estimated to the nearest 10%.
Dataset Citation: Kendall, M., B. Costa, S. McKagan, L. Johnston, and D. Okano. 2017. Benthic Habitat Maps of Saipan Lagoon. NOAA Technical Memorandum NOS NCCOS 229. Silver Spring, MD. 79 pp.
Copyright Text: For web services, please acknowledge: NOAA NOS NCCOS CCMA Biogeography Branch
Description: Ground validation (GV) is the process of collecting underwater photos and/or videos at discrete locations. The purposes of these GV sites are to explore habitats that were unknown, and to verify that habitat types look the same (in the source imagery) across the entire mapped area. We collected underwater videos and photos at 243 GV sites, and interns from NOAA’s CNIM’s Field Office collected underwater photos at 49 GV sites. Combined, these 292 sites were used to develop habitat predictions and a habitat map in Saipan Lagoon.
Dataset Citation: Kendall, M., B. Costa, S. McKagan, L. Johnston, and D. Okano. 2017. Benthic Habitat Maps of Saipan Lagoon. NOAA Technical Memorandum NOS NCCOS 229. Silver Spring, MD. 79 pp.
Copyright Text: For web services, please acknowledge: NOAA NOS NCCOS CCMA Biogeography Branch
Description: Accuracy assessment (AA) is the process of collecting underwater photos and/or videos at randomly chosen locations stratified by substrate and biotic habitat type. We collected underwater videos and photos at 273 AA sites in Saipan Lagoon. The purpose of these AA sites is to provide information to independently assess the performance of the models and accuracy of the habitat map.
Dataset Citation: Kendall, M., B. Costa, S. McKagan, L. Johnston, and D. Okano. 2017. Benthic Habitat Maps of Saipan Lagoon. NOAA Technical Memorandum NOS NCCOS 229. Silver Spring, MD. 79 pp.
Copyright Text: For web services, please acknowledge: NOAA NOS NCCOS CCMA Biogeography Branch
Description: Habitat map depicting substrate and cover types that commonly co-occur in Saipan Lagoon. The overall thematic accuracy for this map is 85.8% (corrected for proportional bias). These habitats were also translated into the Coastal and Marine Ecological Classification Standard (CMECS) scheme.
Dataset Citation: Kendall, M., B. Costa, S. McKagan, L. Johnston, and D. Okano. 2017. Benthic Habitat Maps of Saipan Lagoon. NOAA Technical Memorandum NOS NCCOS 229. Silver Spring, MD. 79 pp.
Copyright Text: For web services, please acknowledge: NOAA NOS NCCOS CCMA Biogeography Branch
Description: Spatial predictions denoting the mean probability of occurrence (and coefficient of variation or CV) for five substrate and seven biotic cover types. Mean and CV were calculated by creating 100 separate models, and then calculating the average and standard deviation of probability of occurrence in each pixel across the models.
Substrate types include: Live Coral Reef (All Species), Upright Dead Coral Reef, Pavement, Coral Rubble and Sand and Gravel. Cover types include: Live Coral Reef (All species), Live Coral (Acropora Formosa and Acropora aspera), Live Coral (Isopora palifera), Live Coral (Other Species), Seagrass (Enhalus acoroides), Seagrass (Halodule uninervis), Mixed Algae and Cyanobacteria and Bare. Dataset Citation: Kendall, M., B. Costa, S. McKagan, L. Johnston, and D. Okano. 2017. Benthic Habitat Maps of Saipan Lagoon. NOAA Technical Memorandum NOS NCCOS 229. Silver Spring, MD. 79 pp.
Copyright Text: For web services, please acknowledge: NOAA NOS NCCOS CCMA Biogeography Branch
Description: Spatial predictions denoting the mean probability of occurrence (and coefficient of variation or CV) for seven biotic cover types. Mean and CV were calculated by creating 100 separate models, and then calculating the average and standard deviation of probability of occurrence in each pixel across the models.
Cover types include: Live Coral Reef (All species), Live Coral (Acropora Formosa and Acropora aspera), Live Coral (Isopora palifera), Live Coral (Other Species), Seagrass (Enhalus acoroides), Seagrass (Halodule uninervis), Mixed Algae and Cyanobacteria and Bare.
Dataset Citation: Kendall, M., B. Costa, S. McKagan, L. Johnston, and D. Okano. 2017. Benthic Habitat Maps of Saipan Lagoon. NOAA Technical Memorandum NOS NCCOS 229. Silver Spring, MD. 79 pp.
Copyright Text: For web services, please acknowledge: NOAA NOS NCCOS CCMA Biogeography Branch
Name: Live Coral All Species - Mean Probability of Occurrence
Display Field:
Type: Raster Layer
Geometry Type: null
Description: This layer depicts the average probability (%) that Live Coral Reef (All Species) are present in each pixel. Average probabilities were calculated by creating 100 separate models, and then averaging the predicted probabilities in each pixel across the models.
Dataset Citation: Kendall, M., B. Costa, S. McKagan, L. Johnston, and D. Okano. 2017. Benthic Habitat Maps of Saipan Lagoon. NOAA Technical Memorandum NOS NCCOS 229. Silver Spring, MD. 79 pp.
Copyright Text: For web services, please acknowledge: NOAA NOS NCCOS CCMA Biogeography Branch
Name: Live Coral All Species - Coefficient of Variation
Display Field:
Type: Raster Layer
Geometry Type: null
Description: This layer depicts the variation in the predicted probability of occurrence for Live Coral Reef (All Species). Variation is denoted as the coefficient of variation (CV), which is unitless. CV is the ratio of the standard deviation to the mean for each pixel. It was calculated by creating 100 separate models, and then calculating the mean and standard deviation of probability of occurrence in each pixel across the models. For example, if the CV for a pixel is 0.25 and the probability of occurrence for that same pixel is 0.9 (90%), then the probability in that pixel varies by ± 0.25*0.9 = 0.225 (or 22.5%). The probability of occurrence in that pixel could therefore be between 67.5% - 100%.
Dataset Citation: Kendall, M., B. Costa, S. McKagan, L. Johnston, and D. Okano. 2017. Benthic Habitat Maps of Saipan Lagoon. NOAA Technical Memorandum NOS NCCOS 229. Silver Spring, MD. 79 pp.
Copyright Text: For web services, please acknowledge: NOAA NOS NCCOS CCMA Biogeography Branch
Name: Live Coral Staghorn Acroporas - Mean Probability of Occurrence
Display Field:
Type: Raster Layer
Geometry Type: null
Description: This layer depicts the average probability (%) that Live Coral (Acropora Formosa, Acropora aspera or Acropora pulchra) are present in each pixel. Average probabilities were calculated by creating 100 separate models, and then averaging the predicted probabilities in each pixel across the models. Dataset Citation: Kendall, M., B. Costa, S. McKagan, L. Johnston, and D. Okano. 2017. Benthic Habitat Maps of Saipan Lagoon. NOAA Technical Memorandum NOS NCCOS 229. Silver Spring, MD. 79 pp.
Copyright Text: For web services, please acknowledge: NOAA NOS NCCOS CCMA Biogeography Branch
Name: Live Coral Staghorn Acroporas - Coefficient of Variation
Display Field:
Type: Raster Layer
Geometry Type: null
Description: This layer depicts the variation in the predicted probability of occurrence for Live Coral (Acropora Formosa, Acropora aspera or Acropora pulchra). Variation is denoted as the coefficient of variation (CV), which is unitless. CV is the ratio of the standard deviation to the mean for each pixel. It was calculated by creating 100 separate models, and then calculating the mean and standard deviation of probability of occurrence in each pixel across the models. For example, if the CV for a pixel is 0.25 and the probability of occurrence for that same pixel is 0.9 (90%), then the probability in that pixel varies by ± 0.25*0.9 = 0.225 (or 22.5%). The probability of occurrence in that pixel could therefore be between 67.5% - 100%. Dataset Citation: Kendall, M., B. Costa, S. McKagan, L. Johnston, and D. Okano. 2017. Benthic Habitat Maps of Saipan Lagoon. NOAA Technical Memorandum NOS NCCOS 229. Silver Spring, MD. 79 pp.
Copyright Text: For web services, please acknowledge: NOAA NOS NCCOS CCMA Biogeography Branch
Name: Live Coral Isopora palifera - Mean Probability of Occurrence
Display Field:
Type: Raster Layer
Geometry Type: null
Description: This layer depicts the average probability (%) that Live Coral (Isopora palifera) is present in each pixel. Average probabilities were calculated by creating 100 separate models, and then averaging the predicted probabilities in each pixel across the models.
Dataset Citation: Kendall, M., B. Costa, S. McKagan, L. Johnston, and D. Okano. 2017. Benthic Habitat Maps of Saipan Lagoon. NOAA Technical Memorandum NOS NCCOS 229. Silver Spring, MD. 79 pp.
Copyright Text: For web services, please acknowledge: NOAA NOS NCCOS CCMA Biogeography Branch
Name: Live Coral Isopora palifera - Coefficient of Variation
Display Field:
Type: Raster Layer
Geometry Type: null
Description: This layer depicts the variation in the predicted probability of occurrence for Live Coral (Isopora palifera). Variation is denoted as the coefficient of variation (CV), which is unitless. CV is the ratio of the standard deviation to the mean for each pixel. It was calculated by creating 100 separate models, and then calculating the mean and standard deviation of probability of occurrence in each pixel across the models. For example, if the CV for a pixel is 0.25 and the probability of occurrence for that same pixel is 0.9 (90%), then the probability in that pixel varies by ± 0.25*0.9 = 0.225 (or 22.5%). The probability of occurrence in that pixel could therefore be between 67.5% - 100%.
Dataset Citation: Kendall, M., B. Costa, S. McKagan, L. Johnston, and D. Okano. 2017. Benthic Habitat Maps of Saipan Lagoon. NOAA Technical Memorandum NOS NCCOS 229. Silver Spring, MD. 79 pp.
Copyright Text: For web services, please acknowledge: NOAA NOS NCCOS CCMA Biogeography Branch
Name: Live Coral Other Species - Mean Probability of Occurrence
Display Field:
Type: Raster Layer
Geometry Type: null
Description: This layer depicts the average probability (%) that Live Coral (Other Species) are present in each pixel. Average probabilities were calculated by creating 100 separate models, and then averaging the predicted probabilities in each pixel across the models.
Dataset Citation: Kendall, M., B. Costa, S. McKagan, L. Johnston, and D. Okano. 2017. Benthic Habitat Maps of Saipan Lagoon. NOAA Technical Memorandum NOS NCCOS 229. Silver Spring, MD. 79 pp.
Copyright Text: For web services, please acknowledge: NOAA NOS NCCOS CCMA Biogeography Branch
Name: Live Coral Other Species - Coefficient of Variation
Display Field:
Type: Raster Layer
Geometry Type: null
Description: This layer depicts the variation in the predicted probability of occurrence for Live Coral (Other Species). Variation is denoted as the coefficient of variation (CV), which is unitless. CV is the ratio of the standard deviation to the mean for each pixel. It was calculated by creating 100 separate models, and then calculating the mean and standard deviation of probability of occurrence in each pixel across the models. For example, if the CV for a pixel is 0.25 and the probability of occurrence for that same pixel is 0.9 (90%), then the probability in that pixel varies by ± 0.25*0.9 = 0.225 (or 22.5%). The probability of occurrence in that pixel could therefore be between 67.5% - 100%.
Dataset Citation: Kendall, M., B. Costa, S. McKagan, L. Johnston, and D. Okano. 2017. Benthic Habitat Maps of Saipan Lagoon. NOAA Technical Memorandum NOS NCCOS 229. Silver Spring, MD. 79 pp.
Copyright Text: For web services, please acknowledge: NOAA NOS NCCOS CCMA Biogeography Branch
Name: Seagrass Enhalus acoroides - Mean Probability of Occurrence
Display Field:
Type: Raster Layer
Geometry Type: null
Description: This layer depicts the average probability (%) that Seagrass (Enhalus acoroides) is present in each pixel. Average probabilities were calculated by creating 100 separate models, and then averaging the predicted probabilities in each pixel across the models. Dataset Citation: Kendall, M., B. Costa, S. McKagan, L. Johnston, and D. Okano. 2017. Benthic Habitat Maps of Saipan Lagoon. NOAA Technical Memorandum NOS NCCOS 229. Silver Spring, MD. 79 pp.
Copyright Text: For web services, please acknowledge: NOAA NOS NCCOS CCMA Biogeography Branch
Name: Seagrass Enhalus acoroides - Coefficient of Variation
Display Field:
Type: Raster Layer
Geometry Type: null
Description: This layer depicts the variation in the predicted probability of occurrence for Seagrass (Enhalus acoroides). Variation is denoted as the coefficient of variation (CV), which is unitless. CV is the ratio of the standard deviation to the mean for each pixel. It was calculated by creating 100 separate models, and then calculating the mean and standard deviation of probability of occurrence in each pixel across the models. For example, if the CV for a pixel is 0.25 and the probability of occurrence for that same pixel is 0.9 (90%), then the probability in that pixel varies by ± 0.25*0.9 = 0.225 (or 22.5%). The probability of occurrence in that pixel could therefore be between 67.5% - 100%.
Dataset Citation: Kendall, M., B. Costa, S. McKagan, L. Johnston, and D. Okano. 2017. Benthic Habitat Maps of Saipan Lagoon. NOAA Technical Memorandum NOS NCCOS 229. Silver Spring, MD. 79 pp.
Copyright Text: For web services, please acknowledge: NOAA NOS NCCOS CCMA Biogeography Branch
Name: Seagrass Halodule uninervis - Mean Probability of Occurrence
Display Field:
Type: Raster Layer
Geometry Type: null
Description: This layer depicts the average probability (%) that Seagrass (Halodule uninervis) is present in each pixel. Average probabilities were calculated by creating 100 separate models, and then averaging the predicted probabilities in each pixel across the models. Dataset Citation: Kendall, M., B. Costa, S. McKagan, L. Johnston, and D. Okano. 2017. Benthic Habitat Maps of Saipan Lagoon. NOAA Technical Memorandum NOS NCCOS 229. Silver Spring, MD. 79 pp.
Copyright Text: For web services, please acknowledge: NOAA NOS NCCOS CCMA Biogeography Branch
Name: Seagrass Halodule uninervis - Coefficient of Variation
Display Field:
Type: Raster Layer
Geometry Type: null
Description: This layer depicts the variation in the predicted probability of occurrence for Seagrass (Halodule uninervis). Variation is denoted as the coefficient of variation (CV), which is unitless. CV is the ratio of the standard deviation to the mean for each pixel. It was calculated by creating 100 separate models, and then calculating the mean and standard deviation of probability of occurrence in each pixel across the models. For example, if the CV for a pixel is 0.25 and the probability of occurrence for that same pixel is 0.9 (90%), then the probability in that pixel varies by ± 0.25*0.9 = 0.225 (or 22.5%). The probability of occurrence in that pixel could therefore be between 67.5% - 100%.
Dataset Citation: Kendall, M., B. Costa, S. McKagan, L. Johnston, and D. Okano. 2017. Benthic Habitat Maps of Saipan Lagoon. NOAA Technical Memorandum NOS NCCOS 229. Silver Spring, MD. 79 pp.
Copyright Text: For web services, please acknowledge: NOAA NOS NCCOS CCMA Biogeography Branch
Name: Mixed Algae - Mean Probability of Occurrence
Display Field:
Type: Raster Layer
Geometry Type: null
Description: This layer depicts the average probability (%) that Mixed Algae and Cyanobacteria are present in each pixel. Average probabilities were calculated by creating 100 separate models, and then averaging the predicted probabilities in each pixel across the models.
Dataset Citation: Kendall, M., B. Costa, S. McKagan, L. Johnston, and D. Okano. 2017. Benthic Habitat Maps of Saipan Lagoon. NOAA Technical Memorandum NOS NCCOS 229. Silver Spring, MD. 79 pp.
Copyright Text: For web services, please acknowledge: NOAA NOS NCCOS CCMA Biogeography Branch
Description: This layer depicts the variation in the predicted probability of occurrence for Mixed Algae and Cyanobacteria. Variation is denoted as the coefficient of variation (CV), which is unitless. CV is the ratio of the standard deviation to the mean for each pixel. It was calculated by creating 100 separate models, and then calculating the mean and standard deviation of probability of occurrence in each pixel across the models. For example, if the CV for a pixel is 0.25 and the probability of occurrence for that same pixel is 0.9 (90%), then the probability in that pixel varies by ± 0.25*0.9 = 0.225 (or 22.5%). The probability of occurrence in that pixel could therefore be between 67.5% - 100%.
Dataset Citation: Kendall, M., B. Costa, S. McKagan, L. Johnston, and D. Okano. 2017. Benthic Habitat Maps of Saipan Lagoon. NOAA Technical Memorandum NOS NCCOS 229. Silver Spring, MD. 79 pp.
Copyright Text: For web services, please acknowledge: NOAA NOS NCCOS CCMA Biogeography Branch
Description: This layer depicts the average probability (%) that the substrate is bare in each pixel. Average probabilities were calculated by creating 100 separate models, and then averaging the predicted probabilities in each pixel across the models.
Dataset Citation: Kendall, M., B. Costa, S. McKagan, L. Johnston, and D. Okano. 2017. Benthic Habitat Maps of Saipan Lagoon. NOAA Technical Memorandum NOS NCCOS 229. Silver Spring, MD. 79 pp.
Copyright Text: For web services, please acknowledge: NOAA NOS NCCOS CCMA Biogeography Branch
Description: This layer depicts the variation in the predicted probability of occurrence that the substrate is bare. Variation is denoted as the coefficient of variation (CV), which is unitless. CV is the ratio of the standard deviation to the mean for each pixel. It was calculated by creating 100 separate models, and then calculating the mean and standard deviation of probability of occurrence in each pixel across the models. For example, if the CV for a pixel is 0.25 and the probability of occurrence for that same pixel is 0.9 (90%), then the probability in that pixel varies by ± 0.25*0.9 = 0.225 (or 22.5%). The probability of occurrence in that pixel could therefore be between 67.5% - 100%.
Dataset Citation: Kendall, M., B. Costa, S. McKagan, L. Johnston, and D. Okano. 2017. Benthic Habitat Maps of Saipan Lagoon. NOAA Technical Memorandum NOS NCCOS 229. Silver Spring, MD. 79 pp.
Copyright Text: For web services, please acknowledge: NOAA NOS NCCOS CCMA Biogeography Branch
Description: Spatial predictions denoting the mean probability of occurrence (and coefficient of variation or CV) for five substrate types. Mean and CV were calculated by creating 100 separate models, and then calculating the average and standard deviation of probability of occurrence in each pixel across the models. Substrate types include: Live Coral Reef (All Species), Upright Dead Coral Reef, Pavement, Coral Rubble and Sand and Gravel.
Dataset Citation: Kendall, M., B. Costa, S. McKagan, L. Johnston, and D. Okano. 2017. Benthic Habitat Maps of Saipan Lagoon. NOAA Technical Memorandum NOS NCCOS 229. Silver Spring, MD. 79 pp.
Copyright Text: For web services, please acknowledge: NOAA NOS NCCOS CCMA Biogeography Branch
Name: Live Coral All Species - Mean Probability of Occurrence
Display Field:
Type: Raster Layer
Geometry Type: null
Description: This layer depicts the average probability (%) that Live Coral Reef (All Species) are present in each pixel. Average probabilities were calculated by creating 100 separate models, and then averaging the predicted probabilities in each pixel across the models. Dataset Citation: Kendall, M., B. Costa, S. McKagan, L. Johnston, and D. Okano. 2017. Benthic Habitat Maps of Saipan Lagoon. NOAA Technical Memorandum NOS NCCOS 229. Silver Spring, MD. 79 pp.
Copyright Text: For web services, please acknowledge: NOAA NOS NCCOS CCMA Biogeography Branch
Name: Live Coral All Species - Coefficient of Variation
Display Field:
Type: Raster Layer
Geometry Type: null
Description: This layer depicts the variation in the predicted probability of occurrence for Live Coral Reef (All Species). Variation is denoted as the coefficient of variation (CV), which is unitless. CV is the ratio of the standard deviation to the mean for each pixel. It was calculated by creating 100 separate models, and then calculating the mean and standard deviation of probability of occurrence in each pixel across the models. For example, if the CV for a pixel is 0.25 and the probability of occurrence for that same pixel is 0.9 (90%), then the probability in that pixel varies by ± 0.25*0.9 = 0.225 (or 22.5%). The probability of occurrence in that pixel could therefore be between 67.5% - 100%.
Dataset Citation: Kendall, M., B. Costa, S. McKagan, L. Johnston, and D. Okano. 2017. Benthic Habitat Maps of Saipan Lagoon. NOAA Technical Memorandum NOS NCCOS 229. Silver Spring, MD. 79 pp.
Copyright Text: For web services, please acknowledge: NOAA NOS NCCOS CCMA Biogeography Branch
Name: Upright Dead Coral Reef - Mean Probability of Occurrence
Display Field:
Type: Raster Layer
Geometry Type: null
Description: This layer depicts the average probability (%) that Upright Dead Coral Reef is present in each pixel. Average probabilities were calculated by creating 100 separate models, and then averaging the predicted probabilities in each pixel across the models.
Dataset Citation: Kendall, M., B. Costa, S. McKagan, L. Johnston, and D. Okano. 2017. Benthic Habitat Maps of Saipan Lagoon. NOAA Technical Memorandum NOS NCCOS 229. Silver Spring, MD. 79 pp.
Copyright Text: For web services, please acknowledge: NOAA NOS NCCOS CCMA Biogeography Branch
Name: Upright Dead Coral Reef - Coefficient of Variation
Display Field:
Type: Raster Layer
Geometry Type: null
Description: This layer depicts the variation in the predicted probability of occurrence for Upright Dead Coral Reef. Variation is denoted as the coefficient of variation (CV), which is unitless. CV is the ratio of the standard deviation to the mean for each pixel. It was calculated by creating 100 separate models, and then calculating the mean and standard deviation of probability of occurrence in each pixel across the models. For example, if the CV for a pixel is 0.25 and the probability of occurrence for that same pixel is 0.9 (90%), then the probability in that pixel varies by ± 0.25*0.9 = 0.225 (or 22.5%). The probability of occurrence in that pixel could therefore be between 67.5% - 100%.
Dataset Citation: Kendall, M., B. Costa, S. McKagan, L. Johnston, and D. Okano. 2017. Benthic Habitat Maps of Saipan Lagoon. NOAA Technical Memorandum NOS NCCOS 229. Silver Spring, MD. 79 pp.
Copyright Text: For web services, please acknowledge: NOAA NOS NCCOS CCMA Biogeography Branch
Description: This layer depicts the average probability (%) that Pavement is present in each pixel. Average probabilities were calculated by creating 100 separate models, and then averaging the predicted probabilities in each pixel across the models.
Dataset Citation: Kendall, M., B. Costa, S. McKagan, L. Johnston, and D. Okano. 2017. Benthic Habitat Maps of Saipan Lagoon. NOAA Technical Memorandum NOS NCCOS 229. Silver Spring, MD. 79 pp.
Copyright Text: For web services, please acknowledge: NOAA NOS NCCOS CCMA Biogeography Branch
Description: This layer depicts the variation in the predicted probability of occurrence for Pavement. Variation is denoted as the coefficient of variation (CV), which is unitless. CV is the ratio of the standard deviation to the mean for each pixel. It was calculated by creating 100 separate models, and then calculating the mean and standard deviation of probability of occurrence in each pixel across the models. For example, if the CV for a pixel is 0.25 and the probability of occurrence for that same pixel is 0.9 (90%), then the probability in that pixel varies by ± 0.25*0.9 = 0.225 (or 22.5%). The probability of occurrence in that pixel could therefore be between 67.5% - 100%. Dataset Citation: Kendall, M., B. Costa, S. McKagan, L. Johnston, and D. Okano. 2017. Benthic Habitat Maps of Saipan Lagoon. NOAA Technical Memorandum NOS NCCOS 229. Silver Spring, MD. 79 pp.
Copyright Text: For web services, please acknowledge: NOAA NOS NCCOS CCMA Biogeography Branch
Name: Coral Rubble - Mean Probability of Occurrence
Display Field:
Type: Raster Layer
Geometry Type: null
Description: This layer depicts the average probability (%) that Coral Rubble is present in each pixel. Average probabilities were calculated by creating 100 separate models, and then averaging the predicted probabilities in each pixel across the models.
Dataset Citation: Kendall, M., B. Costa, S. McKagan, L. Johnston, and D. Okano. 2017. Benthic Habitat Maps of Saipan Lagoon. NOAA Technical Memorandum NOS NCCOS 229. Silver Spring, MD. 79 pp.
Copyright Text: For web services, please acknowledge: NOAA NOS NCCOS CCMA Biogeography Branch
Description: This layer depicts the variation in the predicted probability of occurrence for Coral Rubble. Variation is denoted as the coefficient of variation (CV), which is unitless. CV is the ratio of the standard deviation to the mean for each pixel. It was calculated by creating 100 separate models, and then calculating the mean and standard deviation of probability of occurrence in each pixel across the models. For example, if the CV for a pixel is 0.25 and the probability of occurrence for that same pixel is 0.9 (90%), then the probability in that pixel varies by ± 0.25*0.9 = 0.225 (or 22.5%). The probability of occurrence in that pixel could therefore be between 67.5% - 100%.
Dataset Citation: Kendall, M., B. Costa, S. McKagan, L. Johnston, and D. Okano. 2017. Benthic Habitat Maps of Saipan Lagoon. NOAA Technical Memorandum NOS NCCOS 229. Silver Spring, MD. 79 pp.
Copyright Text: For web services, please acknowledge: NOAA NOS NCCOS CCMA Biogeography Branch
Description: This layer depicts the average probability (%) that Sand and Gravel is present in each pixel. Average probabilities were calculated by creating 100 separate models, and then averaging the predicted probabilities in each pixel across the models.
Dataset Citation: Kendall, M., B. Costa, S. McKagan, L. Johnston, and D. Okano. 2017. Benthic Habitat Maps of Saipan Lagoon. NOAA Technical Memorandum NOS NCCOS 229. Silver Spring, MD. 79 pp.
Copyright Text: For web services, please acknowledge: NOAA NOS NCCOS CCMA Biogeography Branch
Description: This layer depicts the variation in the predicted probability of occurrence for Sand and Gravel. Variation is denoted as the coefficient of variation (CV), which is unitless. CV is the ratio of the standard deviation to the mean for each pixel. It was calculated by creating 100 separate models, and then calculating the mean and standard deviation of probability of occurrence in each pixel across the models. For example, if the CV for a pixel is 0.25 and the probability of occurrence for that same pixel is 0.9 (90%), then the probability in that pixel varies by ± 0.25*0.9 = 0.225 (or 22.5%). The probability of occurrence in that pixel could therefore be between 67.5% - 100%.
Dataset Citation: Kendall, M., B. Costa, S. McKagan, L. Johnston, and D. Okano. 2017. Benthic Habitat Maps of Saipan Lagoon. NOAA Technical Memorandum NOS NCCOS 229. Silver Spring, MD. 79 pp.
Copyright Text: For web services, please acknowledge: NOAA NOS NCCOS CCMA Biogeography Branch
Description: This layer depicts average depths (in meters) predicted using the 2016 satellite image. Mean depths were calculated by creating 100 separate models, and then averaging the predicted depths in each pixel across the models. These predicted depth values are in the Mean Lower Low Water (MLLW) tidal datum.
Dataset Citation: Kendall, M., B. Costa, S. McKagan, L. Johnston, and D. Okano. 2017. Benthic Habitat Maps of Saipan Lagoon. NOAA Technical Memorandum NOS NCCOS 229. Silver Spring, MD. 79 pp.
Copyright Text: For web services, please acknowledge: NOAA NOS NCCOS CCMA Biogeography Branch
Name: Variation in Predicted Depth - Coefficient of Variation
Display Field:
Type: Raster Layer
Geometry Type: null
Description: This layer depicts the variation in the predicted depths. Variation is denoted as the coefficient of variation (CV), which is unitless. CV is the ratio of the standard deviation to the mean for each pixel. It was calculated by creating 100 separate models, and then calculating the mean and standard deviation of predicted depths in each pixel across the models. For example, if the CV for a pixel is 0.25 and the mean depth for that same pixel is 0.5 m, then depth in that pixel varies by ± 0.25*0.5 = 0.125 m. Depth in that pixel could therefore be between 0.125 - 0.625 m.
Dataset Citation: Kendall, M., B. Costa, S. McKagan, L. Johnston, and D. Okano. 2017. Benthic Habitat Maps of Saipan Lagoon. NOAA Technical Memorandum NOS NCCOS 229. Silver Spring, MD. 79 pp.
Copyright Text: For web services, please acknowledge: NOAA NOS NCCOS CCMA Biogeography Branch
Description: Satellite imagery was used to develop a habitat map in 2003, and to create habitat predictions and a habitat map for Saipan Lagoon in 2016.
Copyright Text: For web services, please acknowledge: NOAA NOS NCCOS CCMA Biogeography Branch
Description: This imagery mosaic is a blend of satellite images from the IKONOS sensor acquired on March 9 and March 20, 2001.
Dataset Citation: NOAA NCCOS (National Centers for Coastal Ocean Science). 2005. CNMI – Data, Saipan, Image Mosaics (ZIP, 41.2 KB). Data Downloaded (7 January 2017). Data Website: https://products.coastalscience.noaa.gov/collections/benthic/e99us_pac/data_cnmi.aspx (Site Accessed 16 February 2017).
Copyright Text: For web services, please acknowledge: NOAA NOS NCCOS CCMA Biogeography Branch
Description: This satellite image was collected by the World View (WV) 2 sensor on February 5, 2016 at 10:44:34 am Local Time.
Dataset Citation: Kendall, M., B. Costa, S. McKagan, L. Johnston, and D. Okano. 2017. Benthic Habitat Maps of Saipan Lagoon. NOAA Technical Memorandum NOS NCCOS 229. Silver Spring, MD. 79 pp.
Copyright Text: For web services, please acknowledge: NOAA NOS NCCOS CCMA Biogeography Branch
Description: Ground validation and accuracy assessment sites. See the individual layers for a full description.
Dataset Citation: Kendall, M., B. Costa, S. McKagan, L. Johnston, and D. Okano. 2017. Benthic Habitat Maps of Saipan Lagoon. NOAA Technical Memorandum NOS NCCOS 229. Silver Spring, MD. 79 pp.
Copyright Text: For web services, please acknowledge: NOAA NOS NCCOS CCMA Biogeography Branch