Forest fire effects remote sensing models
The AI use case is intended to predict the status of forests after wildfires.
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…
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 Unfortunately, many existing maps are outdated or incomplete…
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.
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…
Forest Health Protection: Survey and mapping of forest damage from insects and diseases using machine learning
Forest Health Protection is responsible for surveying ~500 million acres of forest for forest damage and mapping the risk of mortality from insects and diseases.
Forest Inventory and Cruising using GAIA AI
Intended to solve the problem of collecting forest inventory data in large areas with limited staff and time.
App for predicting soil temperature during prescribed burns
It is a tool to assist managers with determining the predicted soil temperature based on fuel load.
Wildfire effects and postfire forest dynamics
Predicting what a forest will be like after it burns is difficult since forests respond to disturbance in a variety of complex ways and forest conditions change over the first few…
Forest habitat mapping for marbled murrelets
Mapping marbled murrelet nesting habitat across the Pacific Northwest over the last 30+ years.
Forest Vegetation Simulator (FVS) Helpdesk Chatbot RAG
The Chatbot will respond to questions from users of the model (for both public and federal users), reducing staff time spent responding to questions.
Long-term monitoring of northern spotted owl habitat and populations
Machine learning methods are used to model and map forest structure and species composition as it relates to owl nesting and roosting in forests. Machine learning is also used to…
Feral Ungulate Mitigation
Feral ungulates (animals with hooves) are not native to Hawaii, cause agricultural and forest damage, and can also transmit disease. Camera traps help to manage feral ungulate pop…
Timber products output Sample Design Evaluation and Enhancement
Improve U.S. roundwood production estimates on the county level