Stump Identification and Basal Area Estimation with Deep Learning on Unmanned Aerial Vehicles Captured Imagery

Friday, September 20, 2024

9:20 AM – 9:28 AM MST

Location: Embassy Suites, Snowberry

Speaker(s)

I-Kuai Hung, PhD

Professor
Stephen F. Austin State University
Nacogdoches, Texas, United States

Handouts

Co-Author(s)

JL

John Lumbley
JG

Jason Grogan
YZ

Yanli Zhang, PhD (he/him/his)

Professor
Stephen F Austin State University
Nacogdoches, Texas, United States
DU

Daniel R. Unger, PhD

Professor
Stephen F. Austin State University
Nacogdoches, Texas, United States
DK

David L. Kulhavy, PhD

Professor
Stephen F. Austin State University
Nacogdoches, Texas, United States

This presentation demonstrates how deep leaning algorithms can be applied to digital aerial photography for finding and measuring stumps on a forest stand after a logging operation.

Learning Objectives:

Upon completion, participant will be able to see how UAS technology and deep leaning can be used for object detection in forest operations.
Upon completion, participant will be able to see the accuracy between deep leaning detected measurement compared to in-situ ground measurement.