Ecosystem Management Decision Support System (EMDS)
Description
This system provides decision support for environmental analysis and planning by using AI-powered tools in ArcGIS and QGIS.
Detailed example
Outputs from this system include the identification of landscapes in need of management/maintenance, along with suggested management actions based on considerations such as cost, efficacy, and policy.
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
Use of this system empowers stakeholders to make more informed and effective decisions about natural resource management.
Controls / human review
ATO: Yes; PIA: Not published
Data needed
Primary data sources included observed insect and pathogen-induced mortality, key critical loads for soil and the atmosphere, long term seasonal departures in temperature and precipitation, hydrology, invasive species vulnerability, road densities, uncharacteristic wildfires, historical fire regime departure, wildfire potential, insect and pathogen risk, and vegetation departure from natural range of variability.