gov.noaa.nmfs.inport:39430 eng UTF8 dataset National Centers for Coastal Ocean Science resourceProvider NCCOS Scientific Data Coordinator NCCOS.data@noaa.gov pointOfContact 2024-11-12T19:47:39 ISO 19115-2 Geographic Information - Metadata Part 2 Extensions for imagery and gridded data ISO 19115-2:2009(E) complex 4989 Puerto Rico Land-Based Threat to Benthic Habitats pr_benthic_threat_metadata 2005-11 publication NOAA/NMFS/EDM 39430 https://www.fisheries.noaa.gov/inport/item/39430 WWW:LINK-1.0-http--link Full Metadata Record View the complete metadata record on InPort for more information about this dataset. information Battista, Tim tim.battista@noaa.gov principalInvestigator https://cdn.coastalscience.noaa.gov/datasets/ccma/ecosystems/coralreef/summit_sea/summit2seaPR.zip WWW:LINK-1.0-http--link Citation URL Online Resource download NOAA Summit-to-Sea Project This data set describes the potential threat of sediment delivery and land-based sources of pollution to benthic habitats. This dataset is derived from NOAA's study, the Benthic Habitats of Puerto Rico and the U.S. Virgin Islands. The Benthic Habitats data is the result of a cooperative effort between NOAA's National Centers for Coastal Ocean Science (NCCOS), U.S. Geological Survey, National Park Service, and the National Geophysical Data Center, to produce benthic habitat maps and georeferenced imagery for Puerto Rico. This project was conducted in support of the U.S. Coral Reef Task Force. The purpose of this data set is to characterize land-based threats on coral reef ecosystems. This project was conducted for the NOAA Summit-to-Sea Project in support of the U.S. Coral Reef Task Force. For more information see http://www.coralreef.gov, https://coastalscience.noaa.gov/project/satellite-imagery-assess-land-based-pollution/ Puerto Rico Department of Natural and Environmental Resources, University of Puerto Rico, USGS, NPS, VI. Dept. Planning Natural Resources; Div. Fish and Wildlife, Univ. VI, Cons. Data Center, The Nature Conservancy, Sea Grant, and other local and regional experts for input and review completed NCCOS Scientific Data Coordinator NCCOS.data@noaa.gov pointOfContact NCCOS Scientific Data Coordinator NCCOS.data@noaa.gov custodian notPlanned CORAL CORAL REEFS EROSION POTENTIAL Environmental Monitoring LAND-BASED POLLUTION SEDIMENT SEDIMENT DELIVERY WATERSHED theme CULEBRA PUERTO RICO UNITED STATES OF AMERICA VIEQUES place DOC/NOAA/NOS/NCCOS > National Centers for Coastal Ocean Science, National Ocean Service, NOAA, U.S. Department of Commerce dataCentre Global Change Master Directory (GCMD) Data Center Keywords 2017-04-24 publication 8.5 Earth Science Data and Information System, Earth Science Projects Division, Goddard Space Flight Center (GSFC), National Aeronautics and Space Administration (NASA) https://forum.earthdata.nasa.gov/app.php/tag/GCMD%2BKeywords GCMD Keyword Forum Page Global Change Master Directory (GCMD). 2025. GCMD Keywords, Version 22. Greenbelt, MD: Earth Science Data and Information System, Earth Science Projects Division, Goddard Space Flight Center (GSFC), National Aeronautics and Space Administration (NASA). URL (GCMD Keyword Forum Page): https://forum.earthdata.nasa.gov/app.php/tag/GCMD+Keywords information custodian Summit-to-Sea project InPort otherRestrictions Cite As: National Centers for Coastal Ocean Science, [Date of Access]: Puerto Rico Land-Based Threat to Benthic Habitats [Data Date Range], https://www.fisheries.noaa.gov/inport/item/39430. NOAA provides no warranty, nor accepts any liability occurring from any incomplete, incorrect, or misleading data, or from any incorrect, incomplete, or misleading use of the data. It is the responsibility of the user to determine whether or not the data is suitable for the intended purpose. otherRestrictions Access Constraints: none otherRestrictions Use Constraints: please acknowledge the NOAA Summit-to-Sea project when using or publishing this data. The distribution of this data product by NOAA does not constitute any real or implied responsibility for its accuracy or usefulness. Map products should not be used for navigation. otherRestrictions Distribution Liability: These data were prepared by an agency of the United States Government. Neither the United States Government nor any agency thereof, nor any of their employees, make any warranty, expressed or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed in this report, or represents that its use would not infringe privately owned rights. Reference therein to any specific commercial product, process, or service by trade name, trademark, manufacturer, or otherwise does not necessarily constitute or imply its endorsement, recommendation, or favoring by the United States Government or any agency thereof. Any views and opinions of authors expressed herein do not necessarily state or reflect those of the United States Government or any agency thereof. Although all data have been used by NOAA, no warranty, expressed or implied, is made by NOAA as to the accuracy of the data and/or related materials. The act of distribution shall not constitute any such warranty, and no responsibility is assumed by NOAA in the use of these data or related materials. unclassified NOAA Data Management Plan (DMP) NOAA/NMFS/EDM 39430 https://www.fisheries.noaa.gov/inportserve/waf/noaa/nos/nccos/dmp/pdf/39430.pdf WWW:LINK-1.0-http--link NOAA Data Management Plan (DMP) NOAA Data Management Plan for this record on InPort. information crossReference vector eng; US environment Microsoft Windows XP Version 5.1 (Build 2600) Service Pack 2; ESRI ArcCatalog 9.1.0.722 -67.966627 -65.212517 17.81293 18.551281 | Currentness: Ground Condition 1990-01-01 2001-01-01 false eng false pr_benthic_threat 2017-04-17 publication Shapefile NCCOS Scientific Data Coordinator NCCOS.data@noaa.gov distributor https://cdn.coastalscience.noaa.gov/projects-attachments/158/summit2seaPR.zip WWW:LINK-1.0-http--link https://cdn.coastalscience.noaa.gov/projects-attachments/158/summit2seaPR.zip Downloadable Data download https://cdn.coastalscience.noaa.gov/datasets/ccma/ecosystems/coralreef/summit_sea/summit2seaPR.zip WWW:LINK-1.0-http--link https://cdn.coastalscience.noaa.gov/datasets/ccma/ecosystems/coralreef/summit_sea/summit2seaPR.zip download dataset Accuracy Thematic accuracy was determined by comparison to field points and found to be 93.6% overall (% of ground truth sites correctly attributed in the habitat map). Horizontal Positional Accuracy Polygons were digitized directly from orthophotos with spatial accuracy between 1 and 9 m and are believed to inherit this spatial accuracy. Completeness Measure Cloud Cover: 2 Completeness Report Data is complete. All interpretable habitats were mapped and peer reviewed by a panel of local experts familiar with the project area. Conceptual Consistency Polygons were delineated from orthophotos directly into a GIS using ArcView. Attribution of polygon types was accomplished in ArcView as well. A careful review of the finished polygon coverage was done to ensure that all labels were complete and accurate. Ground control points, camera calibration data, and USGS DTM data were used to orthorectify 500 dpi scans of the aerial photos using Socet Set Version 4.2.1. Orthorectified images were then loaded into ArcView 3.2 with the Image Analyst and Habitat Digitizer Extensions activated. This allowed the photointerpreter to interpret features, delineate and attribute benthic habitat directly into a digital reference system. The data were saved as ArcView shapefiles.to estimate the potential threat to each polygon, the following methodology was employed:Step 1) The first step of the analysis involves estimating likely relative erosion rates for each 30 m resolution grid cell using a modified, simplified form of the Revised Universal Soil Loss Equation (RUSLE) (USDA, 1989). Information on slope, land cover type, precipitation, and soil porosity were integrated to develop an indicator of relative erosion potential (REP) for all land areas within Puerto Rico. Inputs: (REP relies upon four input data sets, three of which were described under the analysis of vulnerability to erosion, above.) 4. Slope (percentage) - for each 30m grid cell, derived from the (raw) DEM (without hydrologic correction.)5. Relative erosion rate by land cover type. Relative erosion rates for each land cover type were calculated using a look-up table. Land cover categories from NASA Geocover-LC products covering Puerto Rico (http://www.MDafederal.com/geocover/geocoverlc/) were reclassified to relative erosion rates, ranging from 15 (for forest) to 220 for barren land. (below) These relative erosion rates are based on published work involving conversion factors. 6.Precipitation during the peak rainfall month (in millimeters) - Long-term average monthly precipitation values for the peak rainfall month of the year is an interpolated grid based on data for climate stations from NOAA's National Climate Data Center (NCDC). This variable was chosen because it is more indicative of the rainy season and more extreme events during the year.7.Soil erodibility factor (K-ffactor) - the K-ffactor was obtained from the SSURGO database of the USDA.Land Cover Type, Grid Code, Relative Erosion RateDeciduous Forest, 1, 15Evergreen Forest, 2, 15Shrub/Scrub, 3, 50Grassland, 4, 125Barren, 5, 220Urban, 6, 210Agriculture, 7, 200Permanent Wetland, 9, 80Mangrove, 10, 80Water, 11, 5Cloud/No Data, 13, 0Equation 2:Relative Erosion Potential (REP) = Slope(%) x precip (mm for peak rainfall month) x soil k-ffactor x relative erosion rate for land cover type / 1000The grid is divided by 1000 and converted to integer for a better data range and easier display.The analysis was implemented in ESRI ArcView 3.2 software, using the map calculator function of Spatial Analyst, which is also available in ArcMap. The raster analysis was done at 30 m resolution in UTM projection (Zone 20N, WGS84.) (continued...) 2005-10-01T00:00:00 (continued from above) Two indicators indicative of erosion within the watershed were calculated for each basin:mean REP for the basin (an indicator of average erosion rates for the basin) (REP_MEAN), and total relative erosion within the basin (REP_SUM).Step 2) An indicator of relative sediment delivery at the river mouth was estimated by multiplying total relative erosion in the basin (REP_SUM) by the sediment delivery ratio (SDR) for the basin, which is a function of watershed size. SDR reflects the percentage of erosion within the basin (REP_SUM) which reaches the river mouth.Equation 3:Sediment Delivery Ratio (SDR) = 0.41 x basin area (in sq km)*-0.3. This factor comes from published research on watersheds in the Caribbean. Equation 4:Sediment delivery at the river mouth (SED_DELIV) = REP_SUM x SDR8. The point density tool (Spatial Analyst, ArcGIS) was then used to create a threat layer, using the sediment delivery at the outflow point as input, and a kernel radius of 5 km. 9. This threat layer was then averaged for every benthic habitat polygon (NOAA Benthic Habitats of Puerto Rico and the U.S. Virgin Islands, Kendall et al., 2001) using a zonal function to determine the mean threat. Sources used were NOAA Benthic Habitats Data http://ccma.nos.noaa.gov/products/biogeography/benthic/, Geocover LC http://www.MDafederal.com/geocover/geocoverlc/, USGS National Elevation Dataset http://ned.usgs.gov/, NRCS Soils Database http://www.nrcs.usda.gov/wps/portal/nrcs/site/national/home/, NOAA Monthly Surface Data http://www.ncdc.noaa.gov/oa/climate/climatedata.html. (end continuation) 2005-10-01T00:00:00 Source Contribution: Unknown | Type of Source Media: aerial photography and scanned photos 48000 aerial photography and scanned photos Unknown 1990 2001