Jonathan M. Branham

Works by this author

Language: English

Evaluation of Texture as a Fourth Input of Spatial Context Using Machine Learning to Map Wildland Fire Effects

Jonathan M. Branham
Thesis title page

Submitted to the Department of Mathematics and Computer Science in partial fulfillment of the requirements for the degree of Bachelor of Arts

A variety of machine learning algorithms have been used to map wildland fire effects, but previous attempts to map post-fire effects have been conducted using relatively low-resolution satellite imagery. Small unmanned aircraft systems (sUAS) provide opportunities to acquire imagery with much higher spatial resolution than is possible with satellites or manned aircraft. This effort investigates improvements achievable in the accuracy of post-fire effects mapping with machine learning algorithms that use hyperspatial (sub-decimeter) UAS imagery.