Early Estimates of Exotic Annual Grass (EAG) in the Sagebrush Biome, USA, July 2021, (ver 2.0, January 2022)

These datasets provide early estimates of 2021 fractional cover for exotic annual grass (EAG) species and a native perennial grass predicted on July 1 using satellite observation data available no later than June 28th. Four fractional cover maps comprise this release, along with the corresponding confidence maps, for: 1) a group of 17 species of EAGs (i.e., Bromus arvensis L., Bromus briziformis, Bromus catharticus Vahl, Bromus commutatus, Bromus diandrus, Bromus hordeaceus L., Bromus hordeaceus spp. hordeaceus, Bromus japonicus, Bromus madritensis L., Bromus madritensis L. ssp. rubens (L.) Duvin, Bromus L., Bromus racemosus, Bromus rubens L., Bromus secalinus L., Bromus tectorum L., Bromus texensis (Shear) Hitchc., and Taeniatherum caput-medusae; 2) cheatgrass (Bromus tectrorum); 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 data (AIM) plots; Harmonized Landsat and Sentinel-2 (HLS) based Normalized Difference Vegetation Index (NDVI) and Normalized Difference Water Index (NDWI); other relevant environmental, vegetation, remotely sensed, and geophysical drivers; and artificial intelligence/machine learning techniques. A total 17,536 AIM plots from years 2016 - 2019 were used to train an ensemble of five-fold regression models using a cross-validation approach (each observation was used as test data once) that developed all the fractional cover maps. The geographic coverage includes arid and semi-arid rangelands in the western U.S.

Data and Resources

Field Value
accessLevel public
bureauCode {010:12}
catalog_@context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
catalog_conformsTo https://project-open-data.cio.gov/v1.1/schema
catalog_describedBy https://project-open-data.cio.gov/v1.1/schema/catalog.json
datagov_dedupe_retained 20220722134805
identifier USGS:60e465b6d34e2a7685ce08bd
metadata_type geospatial
modified 20220210
old-spatial {"type": "Polygon", "coordinates": [[[-124.9400, 31.1700], [-124.9400, 49.0000], [ -109.0000, 49.0000], [ -109.0000, 31.1700], [-124.9400, 31.1700]]]}
publisher U.S. Geological Survey
publisher_hierarchy Department of the Interior > U.S. Geological Survey
resource-type Dataset
source_datajson_identifier true
source_hash d0d96869f754893e22254495e403e25fa84b77ae
source_schema_version 1.1
spatial {"type": "Polygon", "coordinates": [[[-124.9400, 31.1700], [-124.9400, 49.0000], [ -109.0000, 49.0000], [ -109.0000, 31.1700], [-124.9400, 31.1700]]]}
theme {geospatial}
Groups
  • AmeriGEOSS
  • National Provider
  • North America
Tags
  • amerigeo
  • amerigeoss
  • annual-grass
  • annual-herbaceous
  • arizona
  • california
  • cheatgrass
  • ckan
  • colorado
  • exotic
  • geo
  • geoss
  • great-basin
  • harmonized-landsat-sentinel
  • idaho
  • invasive-species
  • kansas
  • medusahead
  • montana
  • national
  • ndvi
  • nebraska
  • nevada
  • new-mexico
  • nonindigenous-species
  • north-america
  • north-dakota
  • noxious
  • oklahoma
  • oregon
  • perennial-grass
  • poa-secunda
  • red-brome
  • remote-sensing
  • rye-brome
  • sagebrush
  • soft-brome
  • south-dakota
  • texas
  • texas-brome
  • united-states
  • usgs-60e465b6d34e2a7685ce08bd
  • utah
  • washington
  • western-united-states
  • wyoming
isopen False
license_id notspecified
license_title License not specified
maintainer Devendra Dahal (CTR)
maintainer_email ddahal@contractor.usgs.gov
metadata_created 2025-11-22T12:15:41.604014
metadata_modified 2025-11-22T12:15:41.604017
notes These datasets provide early estimates of 2021 fractional cover for exotic annual grass (EAG) species and a native perennial grass predicted on July 1 using satellite observation data available no later than June 28th. Four fractional cover maps comprise this release, along with the corresponding confidence maps, for: 1) a group of 17 species of EAGs (i.e., Bromus arvensis L., Bromus briziformis, Bromus catharticus Vahl, Bromus commutatus, Bromus diandrus, Bromus hordeaceus L., Bromus hordeaceus spp. hordeaceus, Bromus japonicus, Bromus madritensis L., Bromus madritensis L. ssp. rubens (L.) Duvin, Bromus L., Bromus racemosus, Bromus rubens L., Bromus secalinus L., Bromus tectorum L., Bromus texensis (Shear) Hitchc., and Taeniatherum caput-medusae; 2) cheatgrass (Bromus tectrorum); 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 data (AIM) plots; Harmonized Landsat and Sentinel-2 (HLS) based Normalized Difference Vegetation Index (NDVI) and Normalized Difference Water Index (NDWI); other relevant environmental, vegetation, remotely sensed, and geophysical drivers; and artificial intelligence/machine learning techniques. A total 17,536 AIM plots from years 2016 - 2019 were used to train an ensemble of five-fold regression models using a cross-validation approach (each observation was used as test data once) that developed all the fractional cover maps. The geographic coverage includes arid and semi-arid rangelands in the western U.S.
num_resources 2
num_tags 46
title Early Estimates of Exotic Annual Grass (EAG) in the Sagebrush Biome, USA, July 2021, (ver 2.0, January 2022)