39603 usvi_rep90_metadata Data Set Published / External 37206 Summit-to-Sea Project Completed 2005-10 The relative erosion potential is an indicator of sediment and pollution runoff from land based on slope, soil type, land cover (circa 1990) and (maximum monthly) precipitation The purpose of this data set is to determine the potential contribution of sediment and pollution by coastal watersheds into coral reef ecosystems based on 1990 land cover. 835 NOAA Summit-to-Sea Project Theme ISO 19115 Topic Category environment Theme EROSION Theme Environmental Monitoring Theme LAND BASED SOURCES OF POLLUTION Theme RUNOFF Theme SEDIMENT Spatial SAINT CROIX Spatial SAINT JOHN Spatial SAINT THOMAS Spatial USVI National Centers for Coastal Ocean Science Silver Spring MD Data Set None Planned remote-sensing image 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. NOAA Summit-to-Sea Project, World Resources Institute (WRI) Data Steward 2005-10 Position NCCOS Scientific Data Coordinator NCCOS.data@noaa.gov Distributor 2005-10 Position NCCOS Scientific Data Coordinator NCCOS.data@noaa.gov Metadata Contact 2005-10 Position NCCOS Scientific Data Coordinator NCCOS.data@noaa.gov Point of Contact 2005-10 Position NCCOS Scientific Data Coordinator NCCOS.data@noaa.gov Principal Investigator 2005-10 Person Battista, Tim tim.battista@noaa.gov Ground Condition -65.15353 -64.183369 18.884011 17.594527 Discrete 1990 Yes 3 Point No Row 4727 Column 3377 Vertical 1 Unclassified None Acknowledgement of the originating agencies would be appreciated in products derived from these data. This data should not be used for navigation. While efforts have been made to ensure that these data are accurate and reliable within the state of the art, NOAA, cannot assume liability for any damages, or misrepresentations, caused by any inaccuracies in the data, or as a result of the data to be used on a particular system. NOAA makes no warranty, expressed or implied, nor does the fact of distribution constitute such a warranty. https://ccma.nos.noaa.gov/ecosystems/coralreef/summit_sea/summit2seaUSVI.zip Downloadable Data raster https://ccma.nos.noaa.gov/ecosystems/coralreef/summit_sea/ Online Resource https://ccma.nos.noaa.gov/ecosystems/coralreef/summit_sea/summit2seaUSVI.zip Online Resource 2013-07-03 Date that the source FGDC record was last modified. 2017-04-05 Converted from FGDC Content Standards for Digital Geospatial Metadata (version FGDC-STD-001-1998) using 'fgdc_to_inport_xml.pl' script. Contact Tyler Christensen (NOS) for details. 2017-09-13 Partial upload of Spatial Info section only. Microsoft Windows XP Version 5.1 (Build 2600) Service Pack 2; ESRI ArcCatalog 9.1.0.722 N/A N/A 1 Watersheds are an essential unit for analysis, since they link land areas with their point of discharge to the sea. We have implemented a watershed-based analysis of sediment and pollution threat to coral reefs. This analysis incorporates land cover type, slope, soil erodibility factor (k-factor), and precipitation for all land areas, using a simplified version of the Revised Universal Soil Loss Equation (RUSLE) (USDA, 1989) in order to estimate relative erosion rates for each 30m resolution grid cell. These relative erosion estimates are summarized by watershed and by basin. Since not all erosion makes its way to the river mouth, sediment delivery ratios (based on watershed size) were applied in order to estimate relative sediment delivery at the river mouth. It should be noted that relative erosion rates and sediment delivery are being used as a proxy for both sediment and pollution delivery.This information can be used to estimate sediment plumes and impacted reefs (ideally including circulation patterns for the area.) Model results need to be calibrated using available data on river discharge, sediment delivery, and observed impacts on coral reefs. We are working with NOAA's Summit to Sea project to use satellite imagery to maps areas of observed plume and identify habitat change, as well as to help calibrate model results.Model Implementation 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 the wider Caribbean. Inputs: (REP relies upon four input data sets,4. Slope (percentage) - for each 30m grid cell, derived from the raw Digital Elevation Model. 5. Relative erosion rate by land cover type from NASA Geocover-LC products (2000). Relative erosion rates for each land cover type were calculated using a look-up table (below.) Land cover categories was reclassified to relative erosion rates, ranging from 15 (for forest) to 220 for barren land. These relative erosion rates are based on published work involving conversion factors.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, 06.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.Relative Erosion Potential (REP) = (%) Slope x maximum monthly precipitation x soil kffactor x relative erosion rate for land cover type / 1000 (NASA Geocover - LC with 1.4 ha minimum mapping unit "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" ) 2005-10-01T00:00:00 gov.noaa.nmfs.inport:39603 Tyler Christensen 2017-04-05T12:53:28 SysAdmin InPortAdmin 2025-05-15T19:16:09 2017-09-13 National Centers for Coastal Ocean Science NCCOS 1002 Public No No 2017-09-13 1 Year 2018-09-13