U.S.V.I. Relative Erosion Potential - 1990
Data Set (DS) | National Centers for Coastal Ocean Science (NCCOS)GUID: gov.noaa.nmfs.inport:39603 | Updated: May 30, 2023 | Published / External
Summary
Short Citation
National Centers for Coastal Ocean Science, 2024: U.S.V.I. Relative Erosion Potential - 1990, https://www.fisheries.noaa.gov/inport/item/39603.
Full Citation Examples
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
Distribution Information
-
Downloadable Data
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.
Controlled Theme Keywords
environment
Child Items
No Child Items for this record.
Contact Information
Point of Contact
NCCOS Scientific Data Coordinator
NCCOS.data@noaa.gov
Metadata Contact
NCCOS Scientific Data Coordinator
NCCOS.data@noaa.gov
Extents
-65.15353° W,
-64.183369° E,
18.884011° N,
17.594527° S
1990
Item Identification
Title: | U.S.V.I. Relative Erosion Potential - 1990 |
---|---|
Short Name: | usvi_rep90_metadata |
Status: | Completed |
Publication Date: | 2005-10 |
Abstract: |
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 |
Purpose: |
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. |
Notes: |
835 |
Other Citation Details: |
NOAA Summit-to-Sea Project |
Keywords
Theme Keywords
Thesaurus | Keyword |
---|---|
ISO 19115 Topic Category |
environment
|
UNCONTROLLED | |
None | Environmental Monitoring |
None | EROSION |
None | LAND BASED SOURCES OF POLLUTION |
None | RUNOFF |
None | SEDIMENT |
Spatial Keywords
Thesaurus | Keyword |
---|---|
UNCONTROLLED | |
None | SAINT CROIX |
None | SAINT JOHN |
None | SAINT THOMAS |
None | USVI |
Physical Location
Organization: | National Centers for Coastal Ocean Science |
---|---|
City: | Silver Spring |
State/Province: | MD |
Data Set Information
Data Set Scope Code: | Data Set |
---|---|
Maintenance Frequency: | None Planned |
Data Presentation Form: | remote-sensing image |
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. |
Data Set Credit: | NOAA Summit-to-Sea Project, World Resources Institute (WRI) |
Support Roles
Data Steward
Date Effective From: | 2005-10 |
---|---|
Date Effective To: | |
Contact (Position): | NCCOS Scientific Data Coordinator |
Email Address: | NCCOS.data@noaa.gov |
Distributor
Date Effective From: | 2005-10 |
---|---|
Date Effective To: | |
Contact (Position): | NCCOS Scientific Data Coordinator |
Email Address: | NCCOS.data@noaa.gov |
Metadata Contact
Date Effective From: | 2005-10 |
---|---|
Date Effective To: | |
Contact (Position): | NCCOS Scientific Data Coordinator |
Email Address: | NCCOS.data@noaa.gov |
Point of Contact
Date Effective From: | 2005-10 |
---|---|
Date Effective To: | |
Contact (Position): | NCCOS Scientific Data Coordinator |
Email Address: | NCCOS.data@noaa.gov |
Principal Investigator
Date Effective From: | 2005-10 |
---|---|
Date Effective To: | |
Contact (Person): | Battista, Tim |
Email Address: | tim.battista@noaa.gov |
Extents
Currentness Reference: | Ground Condition |
---|
Extent Group 1
Extent Group 1 / Geographic Area 1
W° Bound: | -65.15353 | |
---|---|---|
E° Bound: | -64.183369 | |
N° Bound: | 18.884011 | |
S° Bound: | 17.594527 |
Extent Group 1 / Time Frame 1
Time Frame Type: | Discrete |
---|---|
Start: | 1990 |
Spatial Information
Spatial Representation
Representations Used
Grid: | Yes |
---|
Grid Representation 1
Dimension Count: | 3 | ||||
---|---|---|---|---|---|
Cell Geometry: | Point | ||||
Transformation Parameters Available?: | No | ||||
Axis Dimension 1 |
|||||
|
|||||
Axis Dimension 2 |
|||||
|
|||||
Axis Dimension 3 |
|||||
|
Access Information
Security Class: | Unclassified |
---|---|
Data Access Constraints: |
None |
Data Use Constraints: |
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. |
Distribution Information
Distribution 1
Download URL: | http://ccma.nos.noaa.gov/ecosystems/coralreef/summit_sea/summit2seaUSVI.zip |
---|---|
Distributor: | |
Description: |
Downloadable Data |
File Type (Deprecated): | raster |
URLs
URL 1
URL: | http://ccma.nos.noaa.gov/ecosystems/coralreef/summit_sea/summit2seaUSVI.zip |
---|---|
URL Type: |
Online Resource
|
URL 2
URL: | http://ccma.nos.noaa.gov/ecosystems/coralreef/summit_sea/ |
---|---|
URL Type: |
Online Resource
|
Activity Log
Activity Log 1
Activity Date/Time: | 2013-07-03 |
---|---|
Description: |
Date that the source FGDC record was last modified. |
Activity Log 2
Activity Date/Time: | 2017-04-05 |
---|---|
Description: |
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. |
Activity Log 3
Activity Date/Time: | 2017-09-13 |
---|---|
Description: |
Partial upload of Spatial Info section only. |
Technical Environment
Description: |
Microsoft Windows XP Version 5.1 (Build 2600) Service Pack 2; ESRI ArcCatalog 9.1.0.722 |
---|
Data Quality
Completeness Report: |
N/A |
---|---|
Conceptual Consistency: |
N/A |
Lineage
Process Steps
Process Step 1
Description: |
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" ) |
---|---|
Process Date/Time: | 2005-10-01 00:00:00 |
Catalog Details
Catalog Item ID: | 39603 |
---|---|
GUID: | gov.noaa.nmfs.inport:39603 |
Metadata Record Created By: | Tyler Christensen |
Metadata Record Created: | 2017-04-05 12:53+0000 |
Metadata Record Last Modified By: | SysAdmin InPortAdmin |
Metadata Record Last Modified: | 2023-05-30 18:09+0000 |
Metadata Record Published: | 2017-09-13 |
Owner Org: | NCCOS |
Metadata Publication Status: | Published Externally |
Do Not Publish?: | N |
Metadata Last Review Date: | 2017-09-13 |
Metadata Review Frequency: | 1 Year |
Metadata Next Review Date: | 2018-09-13 |