Skip to main content
U.S. flag

An official website of the United States government

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.

Skip to content

Geospatial data for the Vegetation Mapping Inventory Project of Fort Frederica National Monument

Metadata Updated: February 12, 2024

The files linked to this reference are the geospatial data created as part of the completion of the baseline vegetation inventory project for the NPS park unit. Current format is ArcGIS file geodatabase but older formats may exist as shapefiles.

A geodatabase containing various feature-class layers and tables show the locations of vegetation types and general land cover (vegetation map), vegetation plot samples, AA sites, project boundary extent, and aerial photographic centers. The feature-class layer for the FOFR vegetation map provides 50 polygons of detailed attribute data covering 192 ha, with an average polygon size of 8.9 ha. Of the area mapped, 33 polygons (66%) represent natural vegetation types in the NVCS, encompassing 117 ha (61% of the total map extent). A total of 12 map classes were developed to map the vegetation and general land cover of FOFR and surroundings, including the following: seven map classes representing natural vegetation at the association level in the National Vegetation Classification System (NVCS), one map class representing cultural vegetation (e.g., developed) in the NVCS, and four map classes representing non-vegetated units (e.g., open water bodies, buildings, roads, etc.). Features were interpreted using 1:12,000 scale digital color-infrared aerial photography (flown 07 May 2011) through heads-up-digitizing in ArcGIS (Version 10, © 2010 Environmental Systems Research Institute, Redlands, California). Polygons were mapped to a 0.5-ha minimum mapping unit (MMU).

Access & Use Information

Public: This dataset is intended for public access and use. License: No license information was provided. If this work was prepared by an officer or employee of the United States government as part of that person's official duties it is considered a U.S. Government Work.

Downloads & Resources

References

https://irma.nps.gov/DataStore/Reference/Profile/2253278

Dates

Metadata Created Date May 31, 2023
Metadata Updated Date February 12, 2024

Metadata Source

Harvested from DOI EDI

Additional Metadata

Resource Type Dataset
Metadata Created Date May 31, 2023
Metadata Updated Date February 12, 2024
Publisher National Park Service
Maintainer
@Id http://datainventory.doi.gov/id/dataset/76dbfa77f2814473f5f04b7eb29ff046
Identifier NPS_DataStore_2253278
Data First Published 2013-01-01T12:00:00Z
Data Last Modified 2013-01-01
Category geospatial
Public Access Level public
Bureau Code 010:24
Metadata Context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
Metadata Catalog ID https://datainventory.doi.gov/data.json
Schema Version https://project-open-data.cio.gov/v1.1/schema
Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
Data Quality True
Harvest Object Id 5f7d1d19-c85b-4383-88c9-e193a730e364
Harvest Source Id 52bfcc16-6e15-478f-809a-b1bc76f1aeda
Harvest Source Title DOI EDI
Homepage URL https://irma.nps.gov/DataStore/Reference/Profile/2253278
Metadata Type geospatial
Old Spatial -81.4019852,31.1554222,-81.37873,31.22917
Program Code 010:118, 010:119
Publisher Hierarchy White House > U.S. Department of the Interior > National Park Service
Related Documents https://irma.nps.gov/DataStore/Reference/Profile/2253278
Source Datajson Identifier True
Source Hash c76ec41b5b18ade3b709dfcccb9a599e491463e29e3c2843ffa6dfe9d3e74779
Source Schema Version 1.1
Spatial {"type": "Polygon", "coordinates": -81.4019852, 31.1554222, -81.4019852, 31.22917, -81.37873, 31.22917, -81.37873, 31.1554222, -81.4019852, 31.1554222}
Temporal 2012-01-01T12:00:00Z/2013-01-01T12:00:00Z

Didn't find what you're looking for? Suggest a dataset here.