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Early Estimates of Exotic Annual Grass (EAG) in the Sagebrush Biome, USA, 2022 (ver 6.0, July 2022)

Dates

Publication Date
Start Date
2022-05
End Date
2022-07
Revision
2022-07-01

Citation

Dahal, D., Boyte, S.P., Parajuli, S., Pastick, N.J., Oimoen, M.J., and Shrestha, D., 2022, Early Estimates of Exotic Annual Grass (EAG) in the Sagebrush Biome, USA, 2022 (ver 6.0, July 2022): U.S. Geological Survey data release, https://doi.org/10.5066/P9FVYOGD.

Summary

These datasets provide early estimates of 2022 fractional cover for exotic annual grass (EAG) species and one native perennial grass species on a bi-weekly basis from May to early July. The EAG estimates are developed within one week of the latest satellite observation used for that version. Each bi-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 [...]

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PercentCover_ArcGIS_ColorRamp.lyr 27 KB application/x-tika-msoffice
PercentCover_QGIS_ColorRamp.qml 2.24 KB text/plain
EAG_May2022_PercentCover.png thumbnail 211.95 KB image/png
RevisonHistory_v6.txt 1.46 KB text/plain

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.

Additional Information

Identifiers

Type Scheme Key
DOI https://www.sciencebase.gov/vocab/category/item/identifier doi:10.5066/P9FVYOGD

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