Markov random fields for mixed forests
A level of uncertainty can exist in model predictions and sometimes that level of uncertainty is incorrectly assessed, leading to less effective decision-making when based on the…
AI for regional forest mapping and monitoring
The purpose of this model is to use existing satellite images and forest survey data from the USDA Forest Service to create detailed maps of forest structures. Continuing research…
IOL Focus Group and Survey Sensemaking
Processing and interpretation of questionnaires and transcripts can be slow and tedious. Using Google NotebookLM can improve the process.
Esri ArcGIS Pro Deep Learning Modules
Object detection from aerial images
QUIC-Fire processing and analysis
Analysis of prescribed fire turbulence data
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