The Exotic Annual Grass (EAG) abundance dataset provides early season percent cover estimate of the exotic grass species in 30m spatial resolution for a mapped year in rangeland ecosystems of western United States. We plan to release these EAG estimates multiple times each year in early growing season. EAG is a continuous field consisting of abundance of non-native grass species whose life history is complete in one growing season. Cheatgrass (Bromus tectorum) is a dominant species but this dataset also includes 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 racemosus, Bromus rubens L., Bromus secalinus L., Bromus texensis (Shear) Hitch, and medusahead (Taeniatherum caput-medusae). A main objective of releasing these maps is to provide a tool for better monitoring EAG dynamics and informing conservation and management efforts at local to regional scales.
For additional information regarding creation of the EAG products:
Pastick, Neal J., Bruce K. Wylie, Matthew B. Rigge, Devendra Dahal, Stephen P. Boyte, Matthew O. Jones, Brady W. Allred, Sujan Parajuli, and Zhuoting Wu. "Rapid Monitoring of the Abundance and Spread of Exotic Annual Grasses in the Western United States Using Remote Sensing and Machine Learning." AGU advances (2021). https://dx.doi.org/10.1029/2020AV000298.
Pastick, Neal J., Devendra Dahal, Bruce K. Wylie, Sujan Parajuli, Stephen P. Boyte, and Zhouting Wu. "Characterizing Land Surface Phenology and Exotic Annual Grasses in Dryland Ecosystems Using Landsat and Sentinel-2 Data in Harmony." Remote Sensing 12, no. 4 (2020): 725. https://dx.doi.org/10.3390/rs12040725.