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Charles M. Russell National Wildlife Refuge Landsat 8 Landcover Classification in Relation to Greater Sage Grouse

Metadata Updated: October 29, 2023

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 72.7%. 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.

Downloads & Resources

Dates

Metadata Created Date May 31, 2023
Metadata Updated Date October 29, 2023

Metadata Source

Harvested from DOI EDI

Additional Metadata

Resource Type Dataset
Metadata Created Date May 31, 2023
Metadata Updated Date October 29, 2023
Publisher Climate Adaptation Science Centers
Maintainer
@Id http://datainventory.doi.gov/id/dataset/3f2120dbe3400bd8d75469ec6f2ab02e
Identifier 0875be5e-a50e-49de-a575-c7cf1ffc446e
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 5b6e40e3-63f4-4e69-b195-20003c05e10f
Harvest Source Id 52bfcc16-6e15-478f-809a-b1bc76f1aeda
Harvest Source Title DOI EDI
Metadata Type geospatial
Old Spatial -109.287124,47.157535,-106.353778,48.33243
Source Datajson Identifier True
Source Hash f69ce846bb903cbed0319b2b550c00ac6c47e13249eda923693f8f06af4c6c96
Source Schema Version 1.1
Spatial {"type": "Polygon", "coordinates": -109.287124, 47.157535, -109.287124, 48.33243, -106.353778, 48.33243, -106.353778, 47.157535, -109.287124, 47.157535}

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