Forest based and boosted classification and regression methods
Determining which features of a forest best indicate species presence and amount
MaxEnt/ENMeval models of habitat suitability
Predict species habitat under current and future conditions
ASKTERRA
Geospatial data and models can be difficult to navigate and understand, especially for non-expert geospatial data users. Large language models give users the ability to ask questi…
Species Distribution Data analysis
Machine learning models built for predicting and understanding species distributions and ranges for thousands of different species.
A wetland-based habitat suitability model for Spotted Turtles in West Virginia
Classifying environmental suitability of wetlands for a species of turtle.
Projected contemporary habitat distribution and quality for wood turtles in the midwestern United States
Estimating environmental suitability of stream cells for a turtle species.
Amphibians reveal unexpectedly large differences in potential environmental change responses among ecologically similar habitat specialists
Estimating environmental suitability for amphibians
Projected future changes in the geographic distributions of the threatened Plethodon nettingi and a potential competitor
Estimation of environmental suitability for two salamander species.
Random Forest with Aquatic Effectiveness Monitoring
Protecting aquatic ecosystems and restoring watershed processes can be improved by understanding predictors of sediment in streams after wildfire.
Forest fire effects remote sensing models
The AI use case is intended to predict the status of forests after wildfires.
GIS Help Desk Chat Bot
Answer easier Geographic Information System (GIS) help desk questions based on published Knowledge Based Articles (KBAs) which are used to train the model.
Select Tree Mapping
Improving access to data about Select Trees (trees with superior growth for timber production) from Select Tree Registers (physical documents with information about the tree and i…
Yearly Incident Procurement Classification Report
As part of planning for the upcoming fire season, all previous year incident-related procurements are categorized manually. This is a time-consuming process and humans may not be…
American Recovery Act Classification Tool
This project will use AI/ML to better understand how contracts and agreements funded through the American Relief Act support disaster response themes across the country, such as r…
Automated Road Mapping
Road and trail maps are essential for effective fire response, forest management, and public safety in wildland areas. Unfortunately, many existing maps are outdated or incomplete…
Policy Analysis
Review roughly 1500 handbooks and policies to identify any duplications and perform information extraction for analysis.
Turbo plan
Accelerating environmental planning with tools and services to achieve the Wildfire Crisis Strategy with specific focus around National Environmental Policy Act planning and appra…
Forest Plan review and planning support
Opportunity to increase business productivity related to forest plan reviews by analyzing data and information at a rapid pace
TreeSearch
There is opportunity to streamline the usability of the US Forest Service (USFS) TreeSearch website, the primary database for Forest Service-sponsored research.
Infosec Chatbot
Information Security AI is a Chatbot that uses generative artificial intelligence (AI) to support users by responding to questions on information security.
Bugnet
Detect and map locations of tree damage caused by insects and disease, separate from fire and harvest-caused damage.
Recreation site chatbot
Estimating recreation use at recreation sites.
UAS FS Nursery Seedling Inventory
The primary purpose of this project is to reduce the amount of time each Forest Service nursery takes to manually count seedlings using images. It takes each nursery 3-5 people be…
Forest Mapping using G-LiHT airborne data in interior Alaska
This project supports the first comprehensive forest inventory of interior Alaska in the modern era. Machine learning techniques will be used to predict various forest attributes…