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  3. Early Estimates of Exotic Annual Grass (EAG) in the Sagebrush Biome, USA, 2023
  4. Early Estimates of Exotic Annual Grass (EAG) in the Sagebrush Biome, USA, 2023 (ver. 7.0, June 2023)

Early Estimates of Exotic Annual Grass (EAG) in the Sagebrush Biome, USA, 2023 (ver. 7.0, June 2023)

Dates

Publication Date
Start Date
2023-05
End Date
2023-07

Citation

Dahal, D., Boyte, S.P., Parajuli, S., Pastick, N.J., Megard, L., Postma, K., and Shrestha, D., 2023, Early Estimates of Exotic Annual Grass (EAG) in the Sagebrush Biome, USA, 2023 (ver. 8.0, June 2023): U.S. Geological Survey data release, https://doi.org/10.5066/P9351ZTZ.

Summary

These datasets provide early estimates of 2023 fractional cover for exotic annual grass (EAG) species and one native perennial grass species on a weekly basis from May to early July. The EAG estimates are developed typically within 7-13 days of the latest satellite observation used for that version. Each weekly release contains four fractional cover maps along with their corresponding confidence maps for: 1) a group of 16 species of EAGs, 2) cheatgrass (Bromus tectorum); 3) medusahead (Taeniatherum caput-medusae); and 4) Sandberg bluegrass (Poa secunda). These datasets were generated leveraging field observations from Bureau of Land Management (BLM) Assessment, Inventory, and Monitoring (AIM) data plots; Harmonized Landsat and Sentinel-2 [...]

Contacts

Point of Contact :
Devendra Dahal
Originator :
Devendra Dahal, Stephen P Boyte, Sujan (Contractor) Parajuli, Neal J Pastick, Logan (Contractor) J Megard, Kory Postma, Dinesh (Contractor) Shrestha
Metadata Contact :
Dinesh (Contractor) Shrestha
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

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Metadata_EAG_June12.2023_v7.0.xml
Original FGDC Metadata
View 		39.41 KB application/fgdc+xml
RevisonHistory_v7.txt 1.25 KB text/plain
PercentCover_ArcGIS_ColorRamp.lyr 27 KB application/x-tika-msoffice
PercentCover_QGIS_ColorRamp.qml 2.24 KB text/plain
EAG_June2023_PercentCover_v7.0.png thumbnail 3.36 MB image/png
Extension: Cheatgrass_2023June12_Confidence.zip
Cheatgrass_2023June12_Confidence.tif 465.19 MB
Extension: Cheatgrass_2023June12_PercentCover.zip
1.02 GB
Extension: ExoticAnnualGrass_2023June12_Confidence.zip
ExoticAnnualGrass_2023June12_Confidence.tif 499.86 MB
Extension: ExoticAnnualGrass_2023June12_PercentCover.zip
1.11 GB
Extension: Medusahead_2023June12_Confidence.zip
Medusahead_2023June12_Confidence.tif 263.8 MB
Extension: Medusahead_2023June12_PercentCover.zip
Medusahead_2023June12_PercentCover.tif 419.68 MB
Extension: SandbergBluegrass_2023June12_Confidence.zip
SandbergBluegrass_2023June12_Confidence.tif 376.94 MB
Extension: SandbergBluegrass_2023June12_PercentCover.zip
SandbergBluegrass_2023June12_PercentCover.tif 721.95 MB

Purpose

The purpose for these releases is to provide land managers and researchers with near real time estimates of spatially explicit exotic annual grasses percent cover 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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