Program

Clients

Year

Faculty Advisors

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Mountain lake and forest

A Reproducible Machine Learning Approach for Interpreting Ecohydrologic Model Outputs

Developing a machine learning algorithm designed to interpret RHESSys output and extract insights into possible impacts of climate change on forest health.

Group Members: Alex Clippinger, Wylie Hampson, Shale Hunter, Peter Menzies

Faculty Advisors: Christina Tague

Clients: UCSB Bren School

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Fruits and avocados on market table

An Open-source Pipeline for Remote Sensing of Crop Yields: a Zambia Case Study

Using the MOSAIKS machine learning approach to make fine-resolution agricultural crop yield predictions over time across all of sub-Saharan Africa.

Group Members: Steven Cognac, Juliet Cohen, Grace Lewin, Cullen Molitor

Clients: UCSB Bren School