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 Rio Grande Wild and Scenic River

Metadata Updated: June 4, 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.

The RIGR vegetation map consists of 7,284 polygons totaling 34,506 acres (13,971 hectares) with an average polygon size of about 5 acres (2 hectares). The small polygons are due in part to the detailed mapping, the importance of delineating rare and non-native vegetation types, and the arbitrary splitting of continuous polygons into smaller areas due to RIGR’s unique boundary that follows the active mid-channel of the river. The mapping is also finely detailed since the 2015 TOP imagery was of high resolution allowing for very small stands of vegetation to be accurately mapped. Figure 21 shows an example of the detailed RIGR vegetation mapping centered on the Stillwell and La Linda area.Based on the final vegetation layer, about 3% (1,164 acres) consisted of open water, less than 1% (270 acres) was developed and 96% (33,074 acres) were vegetated. Of the vegetated total, less than 1% (146 acres) was forested or wooded, 65% (22,306 acres) were shrublands, 6% (2,154 acres) were dominated by herbaceous species, and 25% (8,468 acres) contained sparse vegetation. The largest single map unit was the Calcareous Mixed Desert Shrub (S_CDS) type covering 15% (5,245 acres) of the project area. General mapping trends include 71% (24,383 acres) of the project area was mapped as a dry upland scrub or shrubland type, 5% (1,802 acres) was mapped as an upland wash, drainage, or mesic shrub type, and 20% (6,889 acres) was mapped as a riparian type. Non-native vegetation map units were split between 4% (1,411 acres) for herbaceous vegetation and 2% (726 acres) for shrubs.

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/2272065

Dates

Metadata Created Date June 1, 2023
Metadata Updated Date June 4, 2024

Metadata Source

Harvested from DOI EDI

Additional Metadata

Resource Type Dataset
Metadata Created Date June 1, 2023
Metadata Updated Date June 4, 2024
Publisher National Park Service
Maintainer
@Id http://datainventory.doi.gov/id/dataset/a7c6ff4093dc35aee56bfd5c1eba36f5
Identifier NPS_DataStore_2272065
Data First Published 2019-11-01T12:00:00Z
Data Last Modified 2019-11-01
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 3a2f4a8b-9065-4080-bc2c-ed9800da9d20
Harvest Source Id 52bfcc16-6e15-478f-809a-b1bc76f1aeda
Harvest Source Title DOI EDI
Homepage URL https://irma.nps.gov/DataStore/Reference/Profile/2272065
Metadata Type geospatial
Old Spatial -103.304512,28.9715347,-101.760933,29.8830833
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/2272065
Source Datajson Identifier True
Source Hash 5a96d938df4528455186dfff287501666f95f7126c5d98c5a31fe60759bf7a38
Source Schema Version 1.1
Spatial {"type": "Polygon", "coordinates": -103.304512, 28.9715347, -103.304512, 29.8830833, -101.760933, 29.8830833, -101.760933, 28.9715347, -103.304512, 28.9715347}
Temporal 2010-01-01T12:00:00Z/2019-01-01T12:00:00Z

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