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  4. Fractional Estimates of Multiple Exotic Annual Grass (EAG) Species in the Sagebrush Biome, USA, 2016 - 2023 (ver. 4.0, July 2024)

Fractional Estimates of Multiple Exotic Annual Grass (EAG) Species in the Sagebrush Biome, USA, 2016 - 2023 (ver. 4.0, July 2024)

Dates

Publication Date
Start Date
2016
End Date
2023
Last Revision
2024-07-26

Citation

Dahal, D., Boyte, S.P., Postma, K., Pastick, N.J., and Megard, L., 2021, Fractional Estimates of Multiple Exotic Annual Grass (EAG) Species in the Sagebrush Biome, USA, 2016 - 2023 (ver. 4.0, July 2024): U.S. Geological Survey data release, https://doi.org/10.5066/P9GC5JVG.

Summary

This dataset release provides historical (2016 - 2023) estimates of fractional cover for Exotic Annual Grass (EAG) species and a native perennial bunch grass in the arid and semi-arid rangelands of the western United States. The dataset includes four (five for 2023) fractional cover maps per year, accompanied by corresponding confidence maps, for a group of 16 species of EAGs, Cheatgrass (Bromus tectorum); Medusahead (Taeniatherum caput-medusae); and Sandberg Bluegrass (Poa secunda). Field Brome (Bromus arvensis) is added as individual map species in 2023. The data were generated using a combination of field observations from Bureau of Land Management (BLM) Assessment, Inventory, and Monitoring (AIM) plots; remotely sensed data from [...]

Child Items (8)

Contacts

Point of Contact :
Devendra Dahal
Originator :
Devendra Dahal, Stephen P Boyte, Neal J Pastick, Logan (Contractor) J Megard, Kory Postma
Metadata Contact :
Audra J Griebel
Publisher :
U.S. Geological Survey
USGS Mission Area :
Core Science Systems
SDC Data Owner :
Earth Resources Observation and Science (EROS) Center
Distributor :
U.S. Geological Survey - ScienceBase

Attached Files

Click on title to download individual files attached to this item.

Fractional_EAG_all_species_2016-2023_metadata.xml
Original FGDC Metadata
View 		106.88 KB application/fgdc+xml
EAG_2023_PercentCover.png thumbnail 7.4 MB image/png
PercentCover_ArcGIS_ColorRamp.lyr 27 KB application/x-tika-msoffice
PercentCover_QGIS_ColorRamp.qml 2.24 KB text/plain
RevisonHistory_Hist_ver. 4.0, July 2024.txt 3.08 KB text/plain
Extension: Exotic Annual Grass 2022 Percent Cover.zip
ExoticAnnualGrass_2022_PercentCover.tif
“Exotic Annual Grass 2022 Percent Cover” 		1,021.77 MB

Purpose

The purpose for these datasets is to provide historical context with spatially explicit exotic annual grasses abundance in the study area. Appropriate use of the data should be defined by the user; however, this data comes with caveats. First, these estimates should be viewed as relative abundances. Second, comparing this dataset to similar datasets with different spatial resolutions or different dates can lead to substantial differences between dataset values.
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Communities

  • Earth Resources Observation and Science Center (EROS)

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Provenance

Revision 4.0 by Audra Griebel on July 25, 2024. To review the changes that were made, see “RevisonHistory_Hist_ver. 4.0, July 2024.txt” in the attached files section.

Additional Information

Identifiers

Type Scheme Key
DOI https://www.sciencebase.gov/vocab/category/item/identifier doi:10.5066/P9GC5JVG

Raster Extension

boundingBox
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minX-127.23277706352492
maxY50.91922001304653
maxX-99.67578253932264
files
nameExoticAnnualGrass_2022_PercentCover.tif
titleExotic Annual Grass 2022 Percent Cover
contentTypeimage/geotiff
pathOnDisk__disk__71/73/39/717339f662b729632a79c61814e09e899560849a
size1071404970
dateUploadedMon Jun 26 13:26:00 MDT 2023
checksum
valuecb093ce16dc28c1b13e8bc5d586c2736
typeMD5
nameExotic Annual Grass 2022 Percent Cover
nativeCrsEPSG:5070
rasterTypeGeoTIFF

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