Rangeland Analysis Platform
Description
Provides ranchers and land managers with information to detect and manage invasive species spread, wildfire risks, woody species encroachment, wildlife habitat condition, and wind erosion risks with high precision across the western U.S.
Detailed example
Generates detailed maps showing rangeland vegetation cover and vegetation production across the U.S. Also provides imagery analysis and reporting to the end user
AI / analytics pattern
Classical/Predictive Machine Learning: Models trained on data to make predictions or classifications based on identified patterns or relationships.
Automation level / stage
c) Deployed – The use case is being actively authorized or utilized to support the functions or mission of an agency.
Expected benefit
The Rangeland Analysis Platform (RAP) allows users to track changes in plant growth and coverage over time. By monitoring the condition of agricultural ecosystems and the impact of conservation efforts, it can guide conservation practices, invasive species management, drought and wildfire responses, and wildlife habitats.
Controls / human review
ATO: Yes; PIA: Not published
Data needed
The data is collected from over 75,000 monitoring locations collected by Natural Resources Conservation Service (NRCS), Bureau of Land Management, Sentinel-2 mission satellite imagery, Google Earth Engine, and other agencies.