Detection of Fir Trees (Abies sibirica) Damaged by the Bark Beetle in Unmanned Aerial Vehicle Images with Deep Learning

• Published in: Remote Sensing
• Main Authors: Safonova, A., Tabik, S., Alcaraz-Segura, D., Rubtsov, A., Maglinets, Y., Herrera, F.
• Other Authors: Институт космических и информационных технологий, Кафедра систем искусственного интеллекта
• Format: Article in Journal/Newspaper
• Language: unknown
• Published: 2019
• Subjects: multi-class classification; drone; aerial photography; Siberian fir; Siberia; deep-learning; convolutional neural networks; forest health; 28.23.37; Stolby; Sibirica
• Online Access: https://www.mdpi.com/2072-4292/11/6/643; http://elib.sfu-kras.ru/handle/2311/128709; https://doi.org/10.3390/rs11060643

Invasion of the Polygraphus proximus Blandford bark beetle causes catastrophic damage to forests with firs (Abies sibirica Ledeb) in Russia, especially in Central Siberia. Determining tree damage stage based on the shape, texture and colour of tree crown in unmanned aerial vehicle (UAV) images could...