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Charles M. Russell National Wildlife Refuge Spot Landcover Classification in Relation to Greater Sage Grouse

Metadata Updated: June 15, 2024

This landcover raster was generated through a Random Forest predictive model developed in R using a combination of image-derived and ancillary variables, and field-derived training points grouped into 18 classes. Overall accuracy, generated internally through bootstrapping, was 75.5%. A series of post-modeling steps brought the final number of land cover classes to 28.

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.

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Dates

Metadata Created Date June 1, 2023
Metadata Updated Date June 15, 2024

Metadata Source

Harvested from DOI EDI

Additional Metadata

Resource Type Dataset
Metadata Created Date June 1, 2023
Metadata Updated Date June 15, 2024
Publisher Climate Adaptation Science Centers
Maintainer
@Id http://datainventory.doi.gov/id/dataset/deaa91494069fd6b073398068feac755
Identifier c2f638d1-8309-44d8-bdc0-22297c134f43
Data Last Modified 2016-09-02
Category geospatial
Public Access Level public
Bureau Code 010:00
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
Harvest Object Id ca00b5e0-b329-4bc4-9c9d-fdd107a645b7
Harvest Source Id 52bfcc16-6e15-478f-809a-b1bc76f1aeda
Harvest Source Title DOI EDI
Metadata Type geospatial
Old Spatial -109.287002,47.157489,-106.348395,48.332526
Source Datajson Identifier True
Source Hash 7793374dd274b981c416ce24dcd441edeb156ec5ac0fc7fb2b770943fea8fce1
Source Schema Version 1.1
Spatial {"type": "Polygon", "coordinates": -109.287002, 47.157489, -109.287002, 48.332526, -106.348395, 48.332526, -106.348395, 47.157489, -109.287002, 47.157489}

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