Rapid Monitoring of the Abundance and Spread of Exotic Annual Grasses in the Western United States Using Remote Sensing and Machine Learning

Rapid Monitoring of the Abundance and Spread of Exotic Annual Grasses in the Western United States Using Remote Sensing and Machine Learning

Abstract Exotic annual grasses (EAG) are one of the most damaging agents of change in western North America. Despite known socio‐environmental effects of EAG there remains a need to enhance monitoring capabilities for better informing conservation and management practices. Here, we integrate field o...

Full description

Bibliographic Details
Main Authors: Neal J. Pastick, Bruce K. Wylie, Matthew B. Rigge, Devendra Dahal, Stephen P. Boyte, Matthew O. Jones, Brady W. Allred, Sujan Parajuli, Zhuoting Wu
Format: Article
Language:English
Published: Wiley 2021-06-01
Series:AGU Advances
Subjects:
exotic annual grasses
fuel breaks
machine learning
meta‐learning systems
wildfires
sage‐grouse habitat
Online Access:https://doi.org/10.1029/2020AV000298

Internet

https://doi.org/10.1029/2020AV000298

Similar Items