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

Try the next-generation Data Catalog at catalog-beta.data.gov and help shape it with your feedback.

GIS products from a sampling-grid creation, grid-cell surface analysis, and two-class image classification for Southeast Coast Network Parks.

Metadata Updated: March 26, 2026

These GIS files were developed from procedures described in (https://irma.nps.gov/App/Reference/Profile/2188654) where two primary tasks are accomplished: (1) aerial imagery is classified into two dominant classifications, natural and non-natural, within the park and within a 1-km buffer (outer boundary) of the park, and prepared for subsequent analysis that is performed in the FRAGSTATS landscape analysis application, and (2) a base-square grid is developed where several distance- and surface-analyses are conducted for each grid cell and included as attributes for post-processing user-defined queries.

As referred to in Task 1, part of the analysis procedure involves the classification and delineation of natural and non-natural areas. Operational definitions of natural and non-natural areas are SECN-specific, where natural areas are defined as open/vegetated areas and areas dominated by trees/shrubs, and non-natural areas, also referred to as urban areas, are defined as roads/parking lots, bare areas of dirt, and structures. In instances where parks are long and linear, composed of discontinuous units, have meaningful unofficial boundaries (e.g., geographic) between areas where adjacent-land impacts or other effects are known/hypothesized to differ, or contain other characteristics that we hypothesize to have a relationship to some or several variables addressed in this procedure, an option exists in this procedure to define these “subunits” and prepare these subunits separately for analysis by FRAGSTATS. The output base-grid shapefile referred to in Task 2 may be easily adapted for use as the extent and probability raster in the RRQRR Tool (Theobald et al. 2006, 2007) and used as a foundation upon which to draw spatially-balanced sampling locations.

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

Dates

Metadata Created Date March 26, 2026
Metadata Updated Date March 26, 2026

Metadata Source

Harvested from DOI NPS DCAT-US

Additional Metadata

Resource Type Dataset
Metadata Created Date March 26, 2026
Metadata Updated Date March 26, 2026
Publisher National Park Service
Maintainer
Identifier http://datainventory.doi.gov/id/dataset/NPS_DataStore_2190628
Data First Published 2012-01-01T00:00:00Z
Data Last Modified 2012-01-01T00:00:00Z
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://ddi.doi.gov/nps-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
Harvest Object Id 6903617a-93d8-4bd9-bb99-926035992100
Harvest Source Id d917c1a9-26b7-43ea-b8c5-c77ec750a850
Harvest Source Title DOI NPS DCAT-US
Homepage URL https://irma.nps.gov/DataStore/Reference/Profile/2190628
Metadata Type geospatial
Old Spatial -86.1619,27.71091,-75.4611,36.63237
Program Code 010:118, 010:119
Source Datajson Identifier True
Source Hash f59b2d549078539e7b001ac18d201fecdaf3eb25363ee19fca4195b5e290e5fc
Source Schema Version 1.1
Spatial {"type": "Polygon", "coordinates": -86.1619, 27.71091, -86.1619, 36.63237, -75.4611, 36.63237, -75.4611, 27.71091, -86.1619, 27.71091}
Temporal 2009-01-01/2009-01-01

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