'What I Need to Know is What I Don't Know!': Filtering Disaster Twitter Data for Information from Local Individuals. - Lise Ann St. Denis; Amanda Lee Hughes; Jeremy Diaz; Kylen Solvik; Maxwell B. Joseph; Jennifer K. Balch (ISCRAM, 2020)

Classifying Twitter Users for Disaster Response: A Highly Multimodal or Simple Approach? - Jeremy Diaz; Lise Ann St. Denis; Maxwell B. Joseph; Kylen Solvik; Jennifer K. Balch (ISCRAM, 2020)

FIRED (Fire Events Delineation): An Open, Flexible Algorithm and Database of US Fire Events Derived from the MODIS Burned Area Product (2001-2019). - Jennifer K. Balch; Lise Ann St. Denis; Adam L. Mahood; Nathan P. Mietkiewicz; Travis M. Williams; Joe McGlinchy; Maxwell C. Cook (Remote. Sens., 2020)

Integrating National Ecological Observatory Network (NEON) Airborne Remote Sensing and In-Situ Data for Optimal Tree Species Classification. - Victoria M. Scholl; Megan E. Cattau; Maxwell B. Joseph; Jennifer K. Balch (Remote. Sens., 2020)

A Computationally Efficient Method for Updating Fuel Inputs for Wildfire Behavior Models Using Sentinel Imagery and Random Forest Classification. - Amy DeCastro; Timothy W. Juliano; Branko Kosovic; Hamed Ebrahimian; Jennifer K. Balch (Remote. Sens., 2022)

Cyberinfrastructure deployments on public research clouds enable accessible Environmental Data Science education. - Tyler L. McIntosh; Erick Verleye; Jennifer K. Balch; Megan E. Cattau; Nayani T. Ilangakoon; Nathan Korinek; R. Chelsea Nagy; James Sanovia; Edwin Skidmore; Tyson L. Swetnam; Ty Tuff; Nathan Quarderer; et al. (PEARC, 2023)