Year: 2025
Type: conference-paper
Abstract: The capability of U-Net methods and aerial orthoimagery to identify tree crown mortality in study areas in Bavaria, Germany was evaluated and aspects such as model transferability were investigated.We trained the models with imagery from May to September for the years 2019-2023.One goal was to differentiate between damaged crowns of deciduous, coniferous, and pine trees.The results from a validation area containing an independent dataset showed the best average F1-scores of 68%, 52%, and 66% for deciduous, coniferous, and pine trees, respectively.This study highlights the potential of U-Net methods for detecting tree mortality in large areas.
Authors: Javier Francisco Gonzalez, Adelheid Wallner
Language: English
Subfield: Media Technology
Field: Engineering
Domain: Physical Sciences
SDG: Life on land
Open Access status: gold
OpenAlex ID: W4412913942