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Early Estimates of Exotic Annual Grass (EAG) in the Sagebrush Biome, USA, May 2021, v1

Dates

Publication Date
Time Period
2021-05-03

Citation

Dahal, D., Pastick, N.J., Boyte, S.P., Parajuli, S., and Oimoen, M.J., 2021, Early Estimates of Exotic Annual Grass (EAG) in the Sagebrush Biome, USA, May 2021, v1: U.S. Geological Survey data release, https://doi.org/10.5066/P9AVGRH8.

Summary

This dataset provides early estimates of 2021 exotic annual grasses (EAG) fractional cover predicted on May 3rd. We develop and release EAG fractional cover map with an emphasis on cheatgrass (Bromus tectrorum) but it also includes number of other species, i.e., Bromus arvensis L., Bromus briziformis, Bromus catharticus Vahl, Bromus commutatus, Bromus diandrus, Bromus hordeaceus L., Bromus japonicus, Bromus madritensis L., Bromus racemosus, Bromus rubens L., Bromus secalinus L., Bromus texensis (Shear) Hitchc., and medusahead (Taeniatherum caput-medusae. The dataset was generated leveraging field observations from Bureau of Land Management (BLM) Assessment, Inventory, and Monitoring data (AIM) plots; Harmonized Landsat and Sentinel-2 [...]

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Attached Files

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ExoticAnnualGrass_May2021_metadata.xml
Original FGDC Metadata

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29.48 KB application/fgdc+xml
ExoticAnnualGrass_May2021.png thumbnail 1.16 MB image/png
Extension: ExoticAnnualGrass_May2021_Confidence.zip
ExoticAnnualGrass_May2021_Confidence.tif 529.42 MB
Extension: ExoticAnnualGrass_May2021_PercentCover.zip
ExoticAnnualGrass_May2021_PercentCover.tif 1,005.1 MB
ExoticAnnualGrass_May2021_PercentCover.tif.lyr 27 KB

Purpose

The purpose for this dataset is to provide land managers and researchers with early season estimates of spatially explicit exotic annual grasses precent 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.

Additional Information

Identifiers

Type Scheme Key
DOI https://www.sciencebase.gov/vocab/category/item/identifier doi:10.5066/P9AVGRH8

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