Fields

Field: apiso.Lineage
Documents indexed: 12571
Total number of terms: 38
Number of terms listed: 38
Minimum frequency considered: 1
Maximum frequency considered: none

Term Documents
a lidar point cloud was interpolated to create a topobathy digital elevation model in puerto rico.1
all contours were created from source gridded bathymetry using the contour tool available in esri?s arctoolbox. the source bathymetry is listed in a readme.txt file for each region. if the bathymetry is not available online to download, contact the distributor or the point of contact.1
assembled calcification accretion units (caus) are attached to the benthos using stainless steel threaded rods. there are typically five cau sites established at each location (island) the noaa coral reef ecosystem program (crep) visits with five caus deployed at each site (n=25 per location). calcareous organisms, primarily crustose coralline algae and encrusting corals, recruit to these caus and accrete/calcify carbonate skeletons over 2-3 year deployments. once recovered from the seafloor, the caus are processed to provide estimates of net calcification, percent cover, and vertical accretion rates. caus have been deployed and replaced at existing, long-term monitoring sites during pacific reef assessment and monitoring program (ramp) cruises, in accordance with protocols developed by price et al. 2012.1
bathymetry data were derived for nearshore waters around a subset of islands of the pacific remote islands marine national monument from worldview-2 and worldview-3 satellite imagery following methods developed by ehses and rooney (2015).1
benthic photographs were collected during belt transect surveys of corals by the noaa coral reef ecosystem program (crep) following the same protocol in 2015 to that established by the noaa national coral reef monitoring plan (ncrmp), and by a slightly different protocol in 2012 established by crep.1
benthic photographs were collected during belt transect surveys of corals by the noaa coral reef ecosystem program (crep) following the same protocol to that established by the noaa national coral reef monitoring plan (ncrmp).2
benthic photographs were collected during towed-diver surveys of corals by the noaa coral reef ecosystem program (crep) following the same protocol to that established by the noaa national coral reef monitoring program (ncrmp).1
calculation of heatwave category for each day from january 1, 1985 to the present, we calculated the marine heatwave category for each 5km satellite pixel grid in the v3.1 daily global coraltemp sst dataset. we identified a marine heatwave if the sst for a particular day was greater than the 90th percentile value for that location. once a marine heatwave was identified, it was categorized based on its intensity, after hobday et al. (2018)1. intensity categories were defined based on the difference between the average and 90th percentile values for each 5km pixel (diff). if the sst for a particular day was ? (average + diff) and < (average + 2diff), it was categorized as being marine heatwave category 1. if the sst for a particular day was ? (average + 2diff) and < (average + 3diff), it was categorized as being marine heatwave category 2; and so on.since the climatology does not have a value for february 29 in each leap year, when this value was needed, both the average and 90th percentile sst values were calculated using an average of the sst values from february 28 and march 1. dealing with sea ice due to the methodology used to derive the mhw product, its interpretation becomes problematic if all pixels are not approximately normally distributed. at the very least, if the methodology is applied to a pixel with non-normally distributed temperatures (e.g., a pixel with any sea ice) and then applied to a pixel with approximately normally distributed temperatures (e.g., a pixel with only water temperatures), then the interpretation of each of these pixels will be different, creating internal inconsistencies. for this reason, if sea ice was present in a 5km satellite grid location within the 11-day window surrounding any date in the 28-year climatology period, then the pixel was classified as ice and given a flag value of 1 in the mask array of the climatology. the sea ice mask in the mhw product is static and is a conservative estimate of the ice-free satellite pixels within the climatology. it is not an indication of sea ice for that pixel for a given day.1
calibrated w/ calibration data1
coral samples were collected using standard noaa national status and trends (ns&t) program protocols. briefly, samples were collected by scuba divers using steel clippers. coral samples were frozen (-15°c) at the cnmi dep or the cnmi division of fish and wildlife labs in saipan and were kept frozen during shipment to the contract laboratories in texas (contaminants laboratory analyses were conducted following the protocols of the national status and trends program. for a complete description of the methods see whitall et al. 2016.1
czmil data is processed from raw lidar waveforms to point clouds using the czmil hydrofusion software package. point clouds are then classified and edited in industry-standard software packages. derivative data products are generated through the application of gridding and contouring algorithms in a gis environment. the data processing workflow, including software packages, algorithms and parameters are provided in detail, herein this metadata as process steps.1
data recorded in situ by observers on paper forms and subsequently entered into spreadsheet/database and analyzed1
lidar was flown from aircraft to produce a point cloud. points were identified (classified) by type.1
local expert knowledge1
map was developed by drawing polygons on benthic features dervied from various forms of bathymetric data.1
multibeam data processing procedures.2
pait, a.s., f.r. galdo jr, s.i. hartwell, a.l. mason, d.a. apeti, c.f.g. jeffrey, a.m. hoffman, and s.j. pittman. 2015. an assessment of nutrients, sedimentation, and total suspended solids (tss) in the st. thomas east end reserves (steer). noaa technical memorandum nos/nccos 184. silver spring, md. 66pp.1
pifsc ecosystem sciences division (esd) assembles carbonate chemistry information from discrete seawater samples analyzed for two parameters: 1) dissolved inorganic carbon (dic), which in some literature is defined as total carbon (ct), and 2) total alkalinity (ta or at). the carbonate system is influenced by seawater salinity, temperature, pressure, and the dissolved nutrients silicate (sio44-) and phosphate (po43-). all carbonate system collection and measurement methodologies follow the protocols accepted by the greater scientific community and outlined in dickson et al. (2007)1
process to produce bathymetry grid from source multibeam bathymetry data.3
shoreline units were assembled from the environmental sensistivity index (esi) shoreline linear layer for st. croix, usvi (2001). data collected and processed by noaa/nccos/biogeography branch.1
singlebeam bathymetry data collected using hydrolite-tm echosounder kit by seafloor systems, a small boat hydro survey system using ohmex sonarmite echo sounder and trimble proxt receiver. data was collected following procedures established by seafloor systems, and the hydrolite-tm system was tested and calibrated in advance of the surveys. soundings were recorded in meters. data collected in 2012 were processed using a different method from that used in 2013 as described in the process steps.1
the data described here were collected via belt transect surveys of coral demography (adult and juvenile corals) by the noaa coral reef ecosystem program (crep) following a slightly modified protocol to that established by the noaa national coral reef monitoring program (ncrmp).1
the data described here were collected via line-point-intercept (25-centimeter intervals) and photoquadrat surveys for benthic composition and community structure by the noaa coral reef ecosystem program (crep) following a slightly modified protocol to that established by the noaa national coral reef monitoring program (ncrmp).1
the iso cluster unsupervised classification tool in arcgis was used to classify the three-band principle component analysis image into two distinct hard vs soft substrate classes. ground truth optical imagery as well as existing shallow water habitat maps provided by the usgs and noaa biogeography branch were used to validate and correct the hard soft classification.1
the iso cluster unsupervised classification tool was used to classify the three-band principle component analysis (pca) image into distinct structure and cover classes. the unsupervised classification produced a delineated image of substrate and cover of the seafloor across the entire west hawaii and west maui priority areas.1
the method to develop the bpi data layers are generally described in the benthic habitat mapping "overview" section of the pacific islands benthic habitat mapping center website. the data are generated in arcgis using spatial analyst and the benthic terrain modeler (btm). bathymetric position index (bpi) is a second order derivative of bathymetry. the derivation evaluates elevation differences between a focal point and the mean elevation of the surrounding cells within a user defined annulus or circle. a negative value represents a cell that is lower than its neighboring cells (depressions) and a positive value represents a cell that is higher than its neighboring cells (crests). larger numbers represent more prominent features on the seafloor, which differ greatly from surrounding areas. flat areas or areas with a constant slope produce near-zero values. (lundblad et al. 2006)2
the method to develop the coral cover data layers are generally described on the pacific islands benthic habitata mapping center website at http://www.soest.hawaii.edu/pibhmc/pibhmc_mapping.htm#optical all coral cover maps contain data generated from imagery collected during noaa crep towed optical assessment device (toad)---or towed camera sled---surveys unless otherwise noted. in a few cases, maps include additional sources of benthic cover data generated from imagery collected during other noaa crep surveys, including autonomous underwater vehicle (auv), remotely operated vehicle (rov), or towed-diver surveys, or from imagery collected by partners. specifics are included in each of the zip files in the downloads section.1
the method to develop the geomorphological data layers are generally described in the benthic habitat mapping "overview" section of the pacific islands benthic habitat mapping center website. rugosity: cell values reflect the surface area and (surface area) / (planimetric area) ratio for the area contained within that cell?s boundaries. they provide indices of topographic roughness and convolutedness (jenness 2004). distributions of fish and other mobile organisms are often found to positively correlate with increased complexity of the seafloor. investigations of which of the many methods available for quantifying benthic complexity best correlate with fish distributions in pacific coral reef ecosystems are underway. results of the jenness (2004) method are provided as a standardized and well-documented interim product.1
the method to develop the geomorphological data layers are generally described in the benthic habitat mapping "overview" section of the pacific islands benthic habitat mapping center website. slope: cell values reflect the maximum rate of change (in degrees) in elevation between neighboring cells. specific details on how the slope dataset was generated for each location can be found in the metadata record in the zip file for each island, available in the distribution information section.1
the principal analytical task of this project was to calculate eleven metrics of "reef resilience" as identified by mcclanahan et al. (2012). these metrics account for various aspects of the coral reef ecosystem, and are derived from several data streams, as described in the process steps.1
the process to create the reference grids included: 1) creating consistent unmerged benthic map layers based on best available data, 2) establishing a permanent, georeferenced 50 m x 50 m grid structure and populating the grids with the benthic data layers using a ?layering? approach, 3) establishing a common folder/file structure on the pifsc network and standard naming conventions for maps and grids 4) developing data documentation for source data, and 5) developing methods protocols. method documents are located on the pifsc network at: \\picgoldfish\gis\gis\projects\commonmaps\1
the quadrat survey method was used to collect coral assemblage data as part of rapid ecological assessment (rea) surveys. generic richness, colony density, and size distribution of coral colonies can be calculated from the data.1
the steps in this analysis included: 1) re-categorizing all data to simple hard/soft substrates, 2) integrating all data following data prioritization rules established by accuracy assessment, 3) filling gaps in data using interpolation, and 4) extracting the data to known depth ranges for species. several locations in the pacific remote island areas has neither the biogeography program shallow-water benthic habitat nor the esd backscatter-derived hard-soft substrate maps available. satellite images were processed for these places using the method described in mumby and edwards (2000) and then, unsupervised classification was applied to derive hard and soft substrates.1
the usace collected, processed, and provided the data to the noaa office for coastal management (ocm). ocm received the data and processed it to be available for custom download from the data access viewer (dav) and for bulk download from https.13
this project involves two primary analyses: one is to derive geomorphological data from gridded bathymetry, and the other is to examine the linkage between derived geomorphological data and fish demographic data from in-situ biological surveys. the analysis was performed for tutuila, american samoa during first year of the project, and then for main hawaiian islands during the second year of the project.1
this shapefile represents a refinement from a previous benthic habitat map for east flower garden bank.1
to create the benthic habitat maps showing dominant cover types and percentages of dominant cover types of the shallow water benthic habitat of rose atoll for 2006 and 2010, the maximum likelihood supervised classification (mlc) tool in arcgis for desktop was used to classify the three bands from the principle component analysis (pca) performed on the eight derived geomorphological features of the seafloor.1
to develop the lbsp gis layers, there are three main components: satellite based oceanography, coastal habitat modification, and sediment export to nearshore. all data collected is publicly available, and utilized in an arcgis environment. the invest toolset was used to model sedimentation the number of layers included in the tool which span the three components: 5 layers of chlorophyll, 5 layers of kd490, 5 layers of par, 5 layers of sst, 1 layer of wave power,1 layer of sediment, and 1 layer of coastal modification1