Evaluation of Image Spatial Resolution for Machine Learning Mapping of Wildland Fire Effects. - Dale A. Hamilton; Nicholas Hamilton; Barry Myers (IntelliSys (1), 2018)

Mapping Burn Extent of Large Wildland Fires from Satellite Imagery Using Machine Learning Trained from Localized Hyperspatial Imagery. - Dale A. Hamilton; Enoch Levandovsky; Nicholas Hamilton (Remote. Sens., 2020)

Wildland Fire Tree Mortality Mapping from Hyperspatial Imagery Using Machine Learning. - Dale A. Hamilton; Kamden L. Brothers; Samuel D. Jones; Jason Colwell; Jacob Winters (Remote. Sens., 2021)

Mapping Forest Burn Extent from Hyperspatial Imagery Using Machine Learning. - Dale A. Hamilton; Kamden L. Brothers; Cole McCall; Bryn Gautier; Tyler Shea (Remote. Sens., 2021)

Unsupervised Wildfire Change Detection based on Contrastive Learning. - Beichen Zhang; Huiqi Wang; Amani Alabri; Karol Bot; Cole McCall; Dale A. Hamilton; Vít Ruzicka (CoRR, 2022)

Evaluation of Multi-Spectral Band Efficacy for Mapping Wildland Fire Burn Severity from PlanetScope Imagery. - Dale A. Hamilton; William Gibson; Daniel Harris; Camden McGath (Remote. Sens., 2023)