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 Chickasaw National Recreation Area

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.

Instrumental to the photo interpretive effort was the use of the GPS located vegetation plots collected by the field crew. These plots provided an idea of what the signatures of the individual map units should look like. In addition to the tablular data associated with each vegetation plot were five photographs collected at each plot. These photographs helped not only in identifying the immediate area but also provided us with a “look” at the areas surrounding the vegetation plot which might be a different map unit. These photographs may be “hyperlinked” within ArcMap to the salient vegetation observation point for a better concept of on the ground conditions.All interpreted mylar layers were scanned at 300 dpi. Each scanned mylar was then rectified to the NAIP base layer using recognizable ground features as registration points. The resulting scan produced a raster image that was subsequently vectorized. Each vectorized output was then extensively edited to produce clean digital vector lines. From the digitized vectors we created polygons by building topology in the GIS program. Finally, we created labels for each polygon and used these to add the attribute information. Attribution for all the polygons at CHIC included information pertaining to map units, NVC associations, Anderson land-use classes, and other relevant data. Attribute data were taken directly from the interpreted photos or were added later using the orthophotos as a guide.

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/2233264

Dates

Metadata Created Date June 1, 2023
Metadata Updated Date February 12, 2024

Metadata Source

Harvested from DOI EDI

Additional Metadata

Resource Type Dataset
Metadata Created Date June 1, 2023
Metadata Updated Date February 12, 2024
Publisher National Park Service
Maintainer
@Id http://datainventory.doi.gov/id/dataset/22ebad33541d25add602fe19edacb1cc
Identifier NPS_DataStore_2233264
Data First Published 2005-01-01T12:00:00Z
Data Last Modified 2005-01-01
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 cf29c41f-09b0-4335-bc14-a561728d7e50
Harvest Source Id 52bfcc16-6e15-478f-809a-b1bc76f1aeda
Harvest Source Title DOI EDI
Homepage URL https://irma.nps.gov/DataStore/Reference/Profile/2233264
Metadata Type geospatial
Old Spatial -105.955109,29.4183884,-94.43411,39.8288727
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/2233264
Source Datajson Identifier True
Source Hash 29f624bffa83c57209dc7377cd0ac2a070d26b4a048e7543a168f147d80944fb
Source Schema Version 1.1
Spatial {"type": "Polygon", "coordinates": -105.955109, 29.4183884, -105.955109, 39.8288727, -94.43411, 39.8288727, -94.43411, 29.4183884, -105.955109, 29.4183884}

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