48357
NOAA C-CAP National Wetland Potential
noaa_ccap_wetland_potential
Data Set
Published / External
47841
C-CAP
Project
Completed
2014-11-10
The probability rating which covers landcover mapping provides a continuum of wetness from dry to water. The layer is not a wetland classification but provides the wetland likelihood at a specific location. The rating was developed through a modelling process combining multiple GIS and remote sensing data sets including soil characteristics, elevation, existing wetland inventories, hydrographical extents and satellite imagery .
Data available via download from the Digital Coast, either from customizable download in NOAA's Digital Access Viewer or FTP download by regions.
To inform likelihood of wetland and assess areas for potential mitigation or restoration.
11523
This classification is based on GIS and remote sensing data sets with variable ranges from the 1977 to 2010.
Theme
ISO 19115 Topic Category
imageryBaseMapsEarthCover
Theme
NASA/GCMD Earth Science Keywords
EARTH SCIENCE : Human Dimensions : Environmental Governance/Management : Land Management : Land Use/Land Cover Classification
Theme
NASA/GCMD Earth Science Keywords
EARTH SCIENCE : Land Surface : Land Use/Land Cover : Land Cover
Theme
NASA/GCMD Earth Science Keywords
EARTH SCIENCE : Land Surface : Land Use/Land Cover : Land Use Classes
Theme
CCAP
Theme
Coastal Change Analysis Program
Theme
Land Cover Analysis
Theme
Remotely Sensed Imagery/Photos
Theme
Wetlands
Theme
Global Change Master Directory (GCMD) Science Keywords
Earth Science > Land Surface > Land Use/Land Cover
Theme
Global Change Master Directory (GCMD) Science Keywords
Earth Science > Land Surface > Land Use/Land Cover > Land Use/Land Cover Classification
Theme
Global Change Master Directory (GCMD) Instrument Keywords
Earth Remote Sensing Instruments > Passive Remote Sensing > Photon/Optical Detectors > Cameras > CAMERAS
Theme
Global Change Master Directory (GCMD) Platform Keywords
Earth Observation Satellites > LANDSAT
Spatial
Global Change Master Directory (GCMD) Location Keywords
Continent > North America > United States Of America
Spatial
Global Change Master Directory (GCMD) Location Keywords
Continent > North America > United States Of America > Alabama
Spatial
Global Change Master Directory (GCMD) Location Keywords
Continent > North America > United States Of America > California
Spatial
Global Change Master Directory (GCMD) Location Keywords
Continent > North America > United States Of America > Connecticut
Spatial
Global Change Master Directory (GCMD) Location Keywords
Continent > North America > United States Of America > Delaware
Spatial
Global Change Master Directory (GCMD) Location Keywords
Continent > North America > United States Of America > District Of Columbia
Spatial
Global Change Master Directory (GCMD) Location Keywords
Continent > North America > United States Of America > Florida
Spatial
Global Change Master Directory (GCMD) Location Keywords
Continent > North America > United States Of America > Georgia
Spatial
Global Change Master Directory (GCMD) Location Keywords
Continent > North America > United States Of America > Illinois
Spatial
Global Change Master Directory (GCMD) Location Keywords
Continent > North America > United States Of America > Indiana
Spatial
Global Change Master Directory (GCMD) Location Keywords
Continent > North America > United States Of America > Louisiana
Spatial
Global Change Master Directory (GCMD) Location Keywords
Continent > North America > United States Of America > Maine
Spatial
Global Change Master Directory (GCMD) Location Keywords
Continent > North America > United States Of America > Maryland
Spatial
Global Change Master Directory (GCMD) Location Keywords
Continent > North America > United States Of America > Massachusetts
Spatial
Global Change Master Directory (GCMD) Location Keywords
Continent > North America > United States Of America > Michigan
Spatial
Global Change Master Directory (GCMD) Location Keywords
Continent > North America > United States Of America > Minnesota
Spatial
Global Change Master Directory (GCMD) Location Keywords
Continent > North America > United States Of America > Mississippi
Spatial
Global Change Master Directory (GCMD) Location Keywords
Continent > North America > United States Of America > New Hampshire
Spatial
Global Change Master Directory (GCMD) Location Keywords
Continent > North America > United States Of America > New Jersey
Spatial
Global Change Master Directory (GCMD) Location Keywords
Continent > North America > United States Of America > New York
Spatial
Global Change Master Directory (GCMD) Location Keywords
Continent > North America > United States Of America > North Carolina
Spatial
Global Change Master Directory (GCMD) Location Keywords
Continent > North America > United States Of America > Ohio
Spatial
Global Change Master Directory (GCMD) Location Keywords
Continent > North America > United States Of America > Oregon
Spatial
Global Change Master Directory (GCMD) Location Keywords
Continent > North America > United States Of America > Pennsylvania
Spatial
Global Change Master Directory (GCMD) Location Keywords
Continent > North America > United States Of America > Rhode Island
Spatial
Global Change Master Directory (GCMD) Location Keywords
Continent > North America > United States Of America > South Carolina
Spatial
Global Change Master Directory (GCMD) Location Keywords
Continent > North America > United States Of America > Texas
Spatial
Global Change Master Directory (GCMD) Location Keywords
Continent > North America > United States Of America > Vermont
Spatial
Global Change Master Directory (GCMD) Location Keywords
Continent > North America > United States Of America > Virginia
Spatial
Global Change Master Directory (GCMD) Location Keywords
Continent > North America > United States Of America > Washington
Spatial
Global Change Master Directory (GCMD) Location Keywords
Continent > North America > United States Of America > Wisconsin
Spatial
Alabama
Spatial
California
Spatial
Connecticut
Spatial
Delaware
Spatial
Florida
Spatial
Georgia
Spatial
Illinois
Spatial
Indiana
Spatial
Louisiana
Spatial
Maine
Spatial
Maryland
Spatial
Massachusetts
Spatial
Michigan
Spatial
Minnesota
Spatial
Mississippi
Spatial
New Hampshire
Spatial
New Jersey
Spatial
New York
Spatial
North Carolina
Spatial
Ohio
Spatial
Oregon
Spatial
Pennsylvania
Spatial
Rhode Island
Spatial
South Carolina
Spatial
Texas
Spatial
U.S.
Spatial
U.S. Coastal Zone
Spatial
United States
Spatial
Vermont
Spatial
Virginia
Spatial
Washington
Spatial
Washington DC
Spatial
Wisconsin
Office for Coastal Management
Charleston
SC
Data Set
As Needed
Map (digital)
Users must assume responsibility to determine the appropriate use of these data. DATA SHOULD NOT BE USED FOR LEGALLY BINDING APPLICATIONS.
49327
Wetland Potential Index
Wetland Potential Index
Published / External
Completed
Processed by regions, delineated by similar geographic characteristics, scene boundaries, hydrological units, and county boundaries. Regions: U.S. West Coast, U.S. Great Lakes, U.S. New England, U.S. Mid-Atlantic, U.S. Southeast, and U.S. Gulf of Mexico. | Description Source: NOAA OCM
Converted from FGDC using 'fgdc_to_inport_xml_entity.pl' script.
1
Wetland Potential
VARCHAR
No
No
Active
Likelihood of wetland as determined by NOAA Coastal Change Analysis Program (C-CAP) where 1 is very unlikely and 9 is highly likely | Description Source: NOAA OCM
0: This is the value for nodata. | 1: The value indicates there is an extremely low likelihood of wetness. | 2: The value indicates a likelihood of wetness, where 1 is very unlikely and 9 is highly likely. | 3: The value indicates a likelihood of wetness, where 1 is very unlikely and 9 is highly likely. | 4: The value indicates a likelihood of wetness, where 1 is very unlikely and 9 is highly likely. | 5: The value indicates a likelihood of wetness, where 1 is very unlikely and 9 is highly likely. | 6: The value indicates a likelihood of wetness, where 1 is very unlikely and 9 is highly likely. | 7: The value indicates a likelihood of wetness, where 1 is very unlikely and 9 is highly likely. | 8: The value indicates a likelihood of wetness, where 1 is very unlikely and 9 is highly likely. | 9: The value indicates a likelihood of wetness, where 1 is very unlikely and 9 is highly likely. | 10: The value indicates open water. |
Data Steward
2014-11-10
Organization
NOAA Office for Coastal Management
NOAA/OCM
coastal.info@noaa.gov
2234 South Hobson Ave
Charleston
SC
29405-2413
(843) 740-1202
https://coast.noaa.gov
NOAA Office for Coastal Management Home Page
Online Resource
Distributor
2014-11-10
Organization
NOAA Office for Coastal Management
NOAA/OCM
coastal.info@noaa.gov
2234 South Hobson Ave
Charleston
SC
29405-2413
(843) 740-1202
https://coast.noaa.gov
NOAA Office for Coastal Management Home Page
Online Resource
Metadata Contact
2014-11-10
Organization
NOAA Office for Coastal Management
NOAA/OCM
coastal.info@noaa.gov
2234 South Hobson Ave
Charleston
SC
29405-2413
(843) 740-1202
https://coast.noaa.gov
NOAA Office for Coastal Management Home Page
Online Resource
Point of Contact
2014-11-10
Organization
NOAA Office for Coastal Management
NOAA/OCM
coastal.info@noaa.gov
2234 South Hobson Ave
Charleston
SC
29405-2413
(843) 740-1202
https://coast.noaa.gov
NOAA Office for Coastal Management Home Page
Online Resource
Range of dates of input data sets.
-127.2371879
-65.97234204
50.0020169
24.115963
Range
1977-01-01
2010-12-31
Yes
Unclassified
This data can be obtained on-line at the following URL:
https://coast.noaa.gov/dataviewer/#/imagery/search/where:ID=4708;
None
Data set is not for use in litigation. While efforts have been made to ensure that these data are accurate and reliable, NOAA, cannot assume liability for any damages, or misrepresentations, caused by any inaccuracies in the data. NOAA makes no warranty, expressed or implied, nor does the fact of distribution constitute such a warranty.
https://coast.noaa.gov/dataviewer/#/imagery/search/where:ID=4708
Customized Download
Create custom data files by choosing area, map projection, file format, etc.
https://chs.coast.noaa.gov/htdata/raster1/landcover/bulkdownload/wetlandpotential/
Online Resource
https://coast.noaa.gov/dataregistry
Online Resource
https://coast.noaa.gov/digitalcoast/data/ccapregional.html
Online Resource
2017-08-17
Date that the source FGDC record was last modified.
2017-11-14
Converted from FGDC CSDGM (version FGDC-STD-001-1998) using 'fgdc_to_inport_xml.pl' script. Contact Tyler Christensen (NOS) for details.
2018-02-08
Partial upload of Positional Accuracy fields only.
2018-03-13
Partial upload to move data access links to Distribution Info.
No accuracy assessment was performed on the wetland potential products.
Landsat scenes were geo-referenced by Eros Data Center.
There was no terrain correction in the geo-referencing procedure. Input data were not altered before pre-processing.
All pixels have been classified as designated by the model parameters.
Tests for logical consistency indicate that all row and column positions in the selected latitude/longitude window contain data. Conversion and integration with vector files indicates that all positions are consistent with earth coordinates covering the same area. Attribute files are logically consistent.
NOAA Coastal Change Analysis Program (C-CAP) National Wetland Probability
Department of Commerce (DOC), National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS), Office for Coastal Management (OCM)
2014-11-10
Range
1977-01-01
2010-12-31
https://coast.noaa.gov/dataviewer/#/imagery/search/where:ID=4708
Wetland Potential Layers were used to find the likelihood of wetland potential and assess areas for potential mitigation or restoration. | Source Geospatial Form: raster digital data | Type of Source Media: Downloadable
1
Data Collection: This involved the acquisition of pre-existing data sets to be used in the creation of the probability rating. These data were all sourced from national geospatial programs and most were available at no charge. The input data sets and their sources are: National Wetlands Inventory (NWI) from US Fisheries and Wildlife, National Hydrology Data set (NHD) from USGS, Soil Survey Geographic Database (SSURGO) from Natural Resource Conservation Service, 30m National Elevation Data set (NED) from USGS, and satellite imagery (Landsat, but 2009 NAIP imagery for state of Washington). Where available, wetland maps from County GIS Departments were used for validation.
2010-03-01T00:00:00
2
Pre-process data: Each data sets mentioned above was preprocessed in preparation for the comprehensive modelling step (see the last process step). This included converting vector data (NWI and NHD areas & flowlines) into the ERDAS IMAGINE raster format and resampling to a 30m spatial resolution. The SSURGO data was processed to create a percent hydric soils layer ranging from 0-100. Additionally, a slope and curvature models were derived from the 30m NED. Cloud free Landsat 7 TM scenes were acquired for each regional project.
The Hydric Soils and NHD raster were then modelled based on topographic characteristics to remove areas that did not support wetlands such as areas with high slopes and convexity. The NWI rasterized polygons were recoded to give each class a rating with a higher rating designated to the Woody wetland classes. The resulting raster layers from these preprocesing steps provided the building blocks for the probability rating.
2010-03-01T00:00:00
3
The final step was to generate a comprehensive probability rating that combined information from the various modelled layers. Multiple models were constructed that weighted the NWI rasterized polygons and linear data, Topo modelled Soils, Topo modelled NHD Polygons and Topo modelled image segments that intersected with NHD flowlines. No single model was developed to combine all of the processed data; instead, many models were developed that contributed to the final rating. As a result, based on the combination of: inclusion in the NWI, percentage of hydric soils and location in the floodplain a layer was generated with values ranging from 0 (Unlikely) to 8 (highly likely). Areas of open water were designated as 10.
2014-04-23T00:00:00
49327
Entity
Wetland Potential Index
Anne Ball
2017-11-14T14:39:07
Erik Hund
2020-10-30T13:50:49
2018-03-13
Office for Coastal Management
OCM
1002
Public
No
2019-03-14