Forest change monitoring using AI
An AI model utilizing remotely sensed data served to estimate annual forest structure metrics.
Learn moreA few more examples of prior work
The projects that appear below feature a mix of statistical and machine learning methods, a variety of interesting modeling challenges (massive, heterogeneous data streams, imperfect detection, censored observations, etc.), in a diverse array of applications.
An AI model utilizing remotely sensed data served to estimate annual forest structure metrics.
Learn moreModeling the dynamics of the nēnē population in Hawaiʻi Volcanoes National Park.
Learn moreStrong evidence of advancing flowering times in the Sonoran Desert
Learn moreAn early-warning mapping tool for forecasting fire risk on DoD lands in the arid West
Learn more