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Spatially-explicit land-cover scenarios of federal lands in the northern Great Basin: 2018-2050

Metadata Updated: June 15, 2024

As part of a 2018 Northwest Climate Adaptation and Science Center project, USGS researchers are releasing a series of spatially-explicit land-cover projections for the period 2018-2050 covering part of the northern Great Basin (Beaty Butte Herd Management Area, Hart Mountain National Antelope Refuge, and Sheldon National Refuge). The dataset contains an empirically-based business-as-usual (BAU) and an RCP8.5 climate change scenario executed for shrub, herbaceous, and bare cover types. Each scenario is executed 30 times (i.e. Monte Carlo simulations) to account for variability across historical change estimates derived from annual fractional cover maps generated by the National Land Cover Database. The map dates are 2018, 2019, 2023, 2028, 2033, 2038, 2043, 2048, and 2050. The resulting state class maps have a 300-meter resolution, and each pixel value describes the fractional cover for the modeled cover type (percent from 0-100%). The maps for each scenario are labeled accordingly: “sc” for state class, “it” for iteration (followed by iteration number), “ts” for time step (followed by simulated year). The downloadable files are organized by cover type and scenario and are available in the GeoTIF (.tif) raster file format. The 1,620 TIF raster data files were created using free state-and-transition software created by ApexRMS.

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 June 15, 2024

Metadata Source

Harvested from DOI EDI

Additional Metadata

Resource Type Dataset
Metadata Created Date May 31, 2023
Metadata Updated Date June 15, 2024
Publisher Climate Adaptation Science Centers
Maintainer
@Id http://datainventory.doi.gov/id/dataset/37e73f7d7282b5536177de120a49ab21
Identifier 50e8d528-4f32-4eae-98da-f121ac1e3f8f
Data Last Modified 2020-08-30
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 f44b48a9-de62-4381-b2f3-1afda818dc3d
Harvest Source Id 52bfcc16-6e15-478f-809a-b1bc76f1aeda
Harvest Source Title DOI EDI
Metadata Type geospatial
Old Spatial -119.9752,41.481,-118.6592,42.835
Source Datajson Identifier True
Source Hash c00156446fba581641ac0d41e1c07ccc5025474e0e348108d23c4e6f631b00c5
Source Schema Version 1.1
Spatial {"type": "Polygon", "coordinates": -119.9752, 41.481, -119.9752, 42.835, -118.6592, 42.835, -118.6592, 41.481, -119.9752, 41.481}

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