Statistics

Screenshot of RangeDocs homepage, with six people in a field looking at a map

RangeDocs AI/ML

Collaborators

Data Science Team

Improved searching and automated categorization of rangeland science publications using large language modeling tools to help rangeland managers find the information they want.

A map of Arizona where the standard deviation in AGB is represented by color. There is high standard deviation in areas that roughly correspond to mountain ranges and low standard deviation in lower elevations. — Standard deviation in above-ground biomass across 8 data products in Arizona

Estimating Uncertainty in Carbon Stores

Collaborators

Data Science Team

We are working with David More and Yang Li of the School of Natural Resources & the Environment to build an analytical pipeline characterizing uncertainty in estimates of above-ground biomass, to help stakeholders make informed decisions about which data products to use for their needs.